Home › Companies › Triggerise › AI / ML Engineer
AI / ML Engineer
Triggerise · Remote · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Triggerise |
| Title | AI / ML Engineer |
| Normalized title | - |
| Department / team | Technology |
| Location | Lisbon, Portugal |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-06-03 / 2026-06-04 |
| Changed / last seen | 2026-06-04 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Triggerise. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Lisbon. | Open |
| Department jobs | Active postings in Technology. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Triggerise |
| Source | 4d25639a-c8ed-4557-b74b-1e3ea0fc1b05 |
| ATS provider | BambooHR |
Description
Have you ever shipped a complex agentic AI system to production, watched it gracefully (or catastrophically) break under real-world user traffic, and spent the night refactoring its multi-step reasoning layer? If you value production-tested ML rigour over isolated Jupyter notebook prototypes, we have a system for you to build.
About TIko
Tiko is an African nonprofit committed to strengthening the potential and resilience of adolescent girls across Africa. We address the “Triple Threat” of unintended pregnancy, HIV infection, and sexual and gender-based violence by building local health ecosystems that provide stigma-free, no-cost, quality-assured services.
Our model brings together key local actors: community-based organizations (CBO) with peer mobilisers who act as health companions to girls; public and private health clinics that deliver care; and retail partners that redeem Tiko Miles -our behaviour-change incentive programme that rewards service uptake and feedback.
We invest in partners by strengthening CBO capacity, training frontline workers and providers, supporting clinic quality improvement, and compensating partners based on performance. Our technology platform connects all actors by enabling referrals, verifying service delivery, facilitating payments, and generating real-time data.
Tiko operates in six countries: Kenya, Ethiopia, Uganda, Burkina Faso, South Africa, and Nigeria, with additional offices in Portugal, the Netherlands, and the United Kingdom. For a clear overview of our work, we recommend watching this short video .
Globally, our team consists of +250 enthusiastic, international colleagues. Whether you are working from our biggest office in Nairobi, the fast-growing office in South Africa, or from home, our people are young, and our culture is global and dynamic. Our work environment is fast-paced, informal, and friendly.
For this position we will happily accept applicants from South Africa, Kenya, and Portugal.
The Job
We are looking for a T-Shaped AI / ML Engineer to join a high-ownership, agile team tackling one of our most critical scaling challenges: risk and fraud on the Tiko platform. In our engineering ecosystem, "T-shaped" isn't a buzzword- it means you bring a broad, rock-solid foundation in software engineering and data infrastructure (the horizontal bar), combined with deep, hands-on mastery of deploying modern AI and LLM-based systems in production (the vertical bar).
You will move incredibly fast to build, monitor, and optimise intelligent systems that protect our platform. This is a role where you will own entire outcomes from day one, ensuring our architectures remain scalable, secure, and performant for the communities we serve.
Key Responsibilities
Agentic Systems & GenAI Engineering (The Vertical Bar)
Agent Orchestration: Design, deploy, and debug sophisticated agentic AI workflows, focusing on multi-step reasoning, memory integration, Model Context Protocol (MCP), and multi-agent frameworks (using LangGraph, LangChain, or equivalent setups).
Advanced RAG Pipelines: Architect and refine retrieval-augmented generation systems, continually optimising chunking strategies, retrieval design, and end-to-end pipeline evaluation.
LLM Serving & Optimisation: Deploy and operate LLM-based services directly in production, aggressively managing runtime latency, throughput, and cloud costs (using tooling like LiteLLM, vLLM, SageMaker, or Bedrock).
Production Foundations & ML Rigour (The Horizontal Bar)
Traditional Grounding: Implement robust traditional machine learning models—specifically across tabular/structured data (classification, regression, ranking) or NLP—to solve complex risk and behavioral patterns.
Production Coding: Write idiomatic, clean, and production-quality Python code that seamlessly integrates into our core data and software engineering ecosystems.
Structured Data: Query, manipulate, and pipe structured data at scale using complex SQL configurations.
Iterative Systems Design: Participate in team rituals, maintain meticulous technical documentation, and champion a culture of shared learning and graceful systems degradation.
About You
You are an analytical systems thinker who understands how distributed components interact, degrade, and fail. You don't just build models; you build the evaluation and monitoring frameworks around them because you know that code is only as good as its failure modes. You are highly independent, comfortable moving fast through iterative feedback loops, and passionate about owning the actual business outcome, not just a list of technical tasks.
Requirements
Professional Track Record: 5+ years of experience operating as an ML Engineer, Data Scientist, AI Engineer, or Software Developer with a clear history of shipping code to production.
The Software Core: Outstanding proficiency in Python and deep experience working with large-scale structured data using SQL.
Production GenAI: Proven, practical experience building and serving live LLM-based or agentic systems for real users (not just internal prototypes).
ML Breadth: Solid grounding in traditional machine learning fields, with distinct depth in at least one area (tabular ML, NLP, or deep learning).
Language: Strong verbal and written English communication skills.
Bonus Points (The Differentiators):
Direct domain experience in Risk, Fraud, Credit, Insurance, Cybersecurity, or Fintech ecosystems.
Experience with GenAI observability, drift detection, and evaluation frameworks (e.g., LangSmith, Evidently, RAGAS).
Hands-on mastery of AWS environments and MLOps automation (Containerisation, CI/CD for ML).
A track record of mentoring juniors or contributing to the wider community through technical blogging or public speaking.
Recruitment Process
Introductory call with recruiter | First Interview with Tech Team | Technical Challenge | Final interview with the Tech Team
Compensation & Benefits
The gross salary range per month for this position is:
South Africa: R72,734 - R121,223 (x12)
Portugal: €3,025 - €5,041 (x14)
Kenya: Ksh354,096 - Ksh590,160 (x12)
Your final salary will be determined based on your experience and alignment with your future colleagues.
In addition to your monthly salary, we offer you:
Benefits and allowances tailored to your location.
Flexible work arrangements, including remote or hybrid options.
A personal development budget of €500 per year to invest in your professional growth
Unlimited holiday days to use as you see fit - just coordinate with your team and take the time you need to recharge.
The opportunity to shape a growing, impactful product and leave your mark on how we work
A culture built on trust - we believe you’ll do your best without the need for unnecessary rules or micromanagement
The Details
Interested? Click Apply for This Job! Want more information? Check out our website Tiko – Do more with Tiko . We only accept applications through the apply links, not by email.
Important Recruitment Fraud Alert
Please be aware that Tiko maintains a professional and ethical recruitment process.
Zero Fees: We do not charge candidates any fees for applications, interviews, or processing at any stage of the hiring journey.
Fraud Prevention: If you receive a request for money, bank details, or "onboarding equipment" payments from someone claiming to represent us, this is not a legitimate request.
Official Channels: We only communicate through our verified company email domain (@tiko.org).
If you are approached by anyone asking for payment in our name, please ignore the request.
—
Tiko prioritizes integrity in our workplace and respects your privacy.
Tiko is committed to preventing any type of unwanted behaviour by its employees at work, including sexual harassment, exploitation and abuse, lack of integrity and financial misconduct. This is why we will do reference and background screening checks on successful candidates before hiring. Tiko also participates in the Inter Agency Misconduct Disclosure Scheme . As part of this scheme, we will request information from your previous employers about any findings of sexual exploitation, sexual abuse and/or sexual harassment during your employment, or incidents under investigation when you left employment. By applying for this position, you confirm you have read and understood these recruitment procedures.
We value your privacy and understand the importance of safeguarding your personal data. We invite you to review our privacy notice for the recruitment process to understand how we collect, use, and protect your personal data during the recruitment process. Click here to view the document. By applying for this position, you acknowledge that you have read and understood our privacy notice.
Full job record
| Job ID | c596dc4fe3233e1e757440fdb0b9e20e03d4e1b8 |
| Org ID | 1e910856-d1ff-40c0-940c-52c308830db0 |
| Source ID | 4d25639a-c8ed-4557-b74b-1e3ea0fc1b05 |
| Board ID | 4d25639a-c8ed-4557-b74b-1e3ea0fc1b05 |
| Provider | bamboohr |
| Provider Job Key | 675 |
| Title | AI / ML Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | — |
| Department | Technology |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | Portugal |
| Region | — |
| City | Lisbon |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://triggerise.bamboohr.com/careers/675 |
| Apply URL | https://triggerise.bamboohr.com/careers/675 |
| First Seen At | 2026-06-04 11:35:11Z |
| Last Seen At | 2026-06-06 09:54:26Z |
| Last Checked At | 2026-06-06 09:54:26Z |
| Last Changed At | 2026-06-04 11:35:11Z |
| Inactive At | — |
| Source Posted At | 2026-06-03 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=triggerise/date=2026-06-06/2026-06-06T09-54-24-241Z-f2a0b3f373bf2b6aaa720cc3972349d0616aad870cfd8b6ec6d964009d399a5a.json |
Event Fields
{
"content_hash": "c23e4d8027e81c59db766acf4c0d9c76135d0a6ec61915ddf1743931de9f14e3",
"source_hash": "dbcfa360af086cb12f7491be5b9307e0ad06d256ec9034ab04e9114dcb95b14f",
"last_changed_at": "2026-06-04T11:35:11.975Z",
"active_status": "active"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "Lisbon, Portugal",
"city": "Lisbon",
"region": null,
"country": "Portugal",
"is_remote": true,
"confidence": 0.8
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-06T09:54:26.509Z",
"launch_scope": {
"reason": "bamboohr_production_catalog",
"included": true,
"location": {
"raw": "Lisbon, Portugal",
"city": "Lisbon",
"region": null,
"country": "Portugal",
"is_remote": true,
"confidence": 0.8
},
"countries": [
"Portugal"
]
},
"remote_policy": "remote",
"salary_period": null,
"workplace_type": "remote",
"salary_currency": null
}Extensions
{}Native Structured
{
"list_job": {
"id": "675",
"isRemote": null,
"location": {
"city": null,
"state": null
},
"atsLocation": {
"city": "Lisbon",
"state": null,
"country": "Portugal",
"province": null
},
"departmentId": "18827",
"locationType": "1",
"jobOpeningName": "AI / ML Engineer",
"departmentLabel": "Technology",
"employmentStatusLabel": "Full-Time"
},
"detail_errors": [],
"detail_job_opening": {
"location": {
"city": null,
"state": null,
"postalCode": null,
"addressCountry": null
},
"datePosted": "2026-06-03",
"atsLocation": {
"city": "Lisbon",
"state": null,
"country": "Portugal",
"countryId": "172"
},
"description": "<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Have you ever shipped a complex agentic AI system to production, watched it gracefully (or catastrophically) break under real-world user traffic, and spent the night refactoring its multi-step reasoning layer? If you value production-tested ML rigour over isolated Jupyter notebook prototypes, we have a system for you to build.</span></p>\n<p><br></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">About TIko</span><br></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Tiko is an African nonprofit committed to strengthening the potential and resilience of adolescent girls across Africa. We address the “Triple Threat” of unintended pregnancy, HIV infection, and sexual and gender-based violence by building local health ecosystems that provide stigma-free, no-cost, quality-assured services.</span><br><br></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Our model brings together key local actors: community-based organizations (CBO) with peer mobilisers who act as health companions to girls; public and private health clinics that deliver care; and retail partners that redeem Tiko Miles -our behaviour-change incentive programme that rewards service uptake and feedback.</span><br><br></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">We invest in partners by strengthening CBO capacity, training frontline workers and providers, supporting clinic quality improvement, and compensating partners based on performance. Our technology platform connects all actors by enabling referrals, verifying service delivery, facilitating payments, and generating real-time data.</span><br><br></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Tiko operates in six countries: Kenya, Ethiopia, Uganda, Burkina Faso, South Africa, and Nigeria, with additional offices in Portugal, the Netherlands, and the United Kingdom. For a clear overview of our work, we recommend watching this short <span style=\"font-weight: bold\"><a href=\"https://www.youtube.com/watch?v=9nxt4LcByn0\" target=\"_blank\" rel=\"noopener noreferrer\">video</a>.</span></span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><br>Globally, our team consists of +250 enthusiastic, international colleagues. Whether you are working from our biggest office in Nairobi, the fast-growing office in South Africa, or from home, our people are young, and our culture is global and dynamic. Our work environment is fast-paced, informal, and friendly. </span></p>\n<p><br></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\"><em>For this position we will happily accept applicants from South Africa, Kenya, and Portugal.<br><br></em></span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">The Job</span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">We are looking for a T-Shaped<span style=\"font-weight: bold\"> AI / ML Engineer</span> to join a high-ownership, agile team tackling one of our most critical scaling challenges: risk and fraud on the Tiko platform. In our engineering ecosystem, \"T-shaped\" isn't a buzzword- it means you bring a broad, rock-solid foundation in software engineering and data infrastructure (the horizontal bar), combined with deep, hands-on mastery of deploying modern AI and LLM-based systems in production (the vertical bar).</span></p>\n<p><br></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">You will move incredibly fast to build, monitor, and optimise intelligent systems that protect our platform. This is a role where you will own entire outcomes from day one, ensuring our architectures remain scalable, secure, and performant for the communities we serve.</span></p>\n<p><br></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Key Responsibilities</span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Agentic Systems & GenAI Engineering (The Vertical Bar)</span></p>\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Agent Orchestration:</span> Design, deploy, and debug sophisticated agentic AI workflows, focusing on multi-step reasoning, memory integration, Model Context Protocol (MCP), and multi-agent frameworks (using LangGraph, LangChain, or equivalent setups).</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Advanced RAG Pipelines:</span> Architect and refine retrieval-augmented generation systems, continually optimising chunking strategies, retrieval design, and end-to-end pipeline evaluation.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">LLM Serving & Optimisation:</span> Deploy and operate LLM-based services directly in production, aggressively managing runtime latency, throughput, and cloud costs (using tooling like LiteLLM, vLLM, SageMaker, or Bedrock).<br><br></span></li>\n</ul>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Production Foundations & ML Rigour (The Horizontal Bar)</span></p>\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Traditional Grounding:</span> Implement robust traditional machine learning models—specifically across tabular/structured data (classification, regression, ranking) or NLP—to solve complex risk and behavioral patterns.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Production Coding:</span> Write idiomatic, clean, and production-quality Python code that seamlessly integrates into our core data and software engineering ecosystems.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Structured Data:</span> Query, manipulate, and pipe structured data at scale using complex SQL configurations.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Iterative Systems Design:</span> Participate in team rituals, maintain meticulous technical documentation, and champion a culture of shared learning and graceful systems degradation.</span><br><br></li>\n</ul>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">About You</span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">You are an analytical systems thinker who understands how distributed components interact, degrade, and fail. You don't just build models; you build the evaluation and monitoring frameworks around them because you know that code is only as good as its failure modes. You are highly independent, comfortable moving fast through iterative feedback loops, and passionate about owning the actual business outcome, not just a list of technical tasks.<br><br></span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Requirements</span></p>\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Professional Track Record:</span> 5+ years of experience operating as an ML Engineer, Data Scientist, AI Engineer, or Software Developer with a clear history of shipping code to production.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">The Software Core:</span> Outstanding proficiency in Python and deep experience working with large-scale structured data using SQL.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Production GenAI:</span> Proven, practical experience building and serving live LLM-based or agentic systems for real users (not just internal prototypes).</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">ML Breadth:</span> Solid grounding in traditional machine learning fields, with distinct depth in at least one area (tabular ML, NLP, or deep learning).</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Language:</span> Strong verbal and written English communication skills.</span><br><br></li>\n</ul>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Bonus Points (The Differentiators):</span></p>\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Direct domain experience in Risk, Fraud, Credit, Insurance, Cybersecurity, or Fintech ecosystems.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience with GenAI observability, drift detection, and evaluation frameworks (e.g., LangSmith, Evidently, RAGAS).</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Hands-on mastery of AWS environments and MLOps automation (Containerisation, CI/CD for ML).</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">A track record of mentoring juniors or contributing to the wider community through technical blogging or public speaking.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Recruitment Process</span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Introductory call with recruiter | First Interview with Tech Team | Technical Challenge | Final interview with the Tech Team</span></p>\n<p><br></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Compensation & Benefits</span></span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">The gross salary range per month for this position is:</span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">South Africa:</span> R72,734 - R121,223 (x12)</span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Portugal:</span> €3,025 - €5,041 (x14)</span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Kenya:</span> Ksh354,096 - Ksh590,160 (x12)</span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><br></span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Your final salary will be determined based on your experience and alignment with your future colleagues.<br></span></p>\n<p><br></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">In addition to your monthly salary, we offer you:</span></p>\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Benefits and allowances tailored to your location.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Flexible work arrangements, including remote or hybrid options.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">A personal development budget of €500 per year to invest in your professional growth </span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Unlimited holiday days to use as you see fit - just coordinate with your team and take the time you need to recharge.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">The opportunity to shape a growing, impactful product and leave your mark on how we work</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">A culture built on trust - we believe you’ll do your best without the need for unnecessary rules or micromanagement</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">The Details</span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Interested? Click Apply for This Job! Want more information? Check out our website <a href=\"https://tiko.org/\" target=\"_blank\" rel=\"noopener noreferrer\">Tiko – Do more with Tiko</a>.<span style=\"font-weight: bold\"> We only accept applications through the apply links, not by email.</span></span><br></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><br></span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Important Recruitment Fraud Alert</span><br><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Please be aware that Tiko maintains a professional and ethical recruitment process.</span><br></p>\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Zero Fees: We do not charge candidates any fees for applications, interviews, or processing at any stage of the hiring journey.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Fraud Prevention: If you receive a request for money, bank details, or \"onboarding equipment\" payments from someone claiming to represent us, this is not a legitimate request.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Official Channels: We only communicate through our verified company email domain (@tiko.org).</span></li>\n</ul>\n<p><br><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">If you are approached by anyone asking for payment in our name, please ignore the request.</span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">— </span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><br><span style=\"font-size: 10pt; font-weight: bold\">Tiko prioritizes integrity in our workplace and respects your privacy.</span><br><br><span style=\"font-size: 10pt\"><em>Tiko is committed to preventing any type of unwanted behaviour by its employees at work, including sexual harassment, exploitation and abuse, lack of integrity and financial misconduct. This is why we will do reference and background screening checks on successful candidates before hiring. Tiko also participates in the </em><em><a href=\"https://misconduct-disclosure-scheme.org/\" target=\"_blank\" rel=\"noopener noreferrer\">Inter Agency Misconduct Disclosure Scheme</a></em><em>. As part of this scheme, we will request information from your previous employers about any findings of sexual exploitation, sexual abuse and/or sexual harassment during your employment, or incidents under investigation when you left employment. By applying for this position, you confirm you have read and understood these recruitment procedures.<br></em></span><br><span style=\"font-size: 10pt; font-weight: bold\"><em>We value your privacy and understand the importance of safeguarding your personal data. We invite you to review our privacy notice for the recruitment process to understand how we collect, use, and protect your personal data during the recruitment process. Click </em><em><a href=\"https://drive.google.com/file/d/11PyH3M9NwpX1h2SbKZ9GQqhHg3WIaEuD/view?usp=sharing\" target=\"_blank\" rel=\"noopener noreferrer\">here</a></em><em> to view the document. By applying for this position, you acknowledge that you have read and understood our privacy notice.</em></span></span></p>",
"compensation": null,
"departmentId": "18827",
"locationType": "1",
"seekPromoted": false,
"jobCategoryId": null,
"jobOpeningName": "AI / ML Engineer",
"departmentLabel": "Technology",
"jobOpeningStatus": "Open",
"minimumExperience": "Experienced",
"jobOpeningShareUrl": "https://triggerise.bamboohr.com/careers/675",
"employmentStatusLabel": "Full-Time"
}
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/c596dc4fe3233e1e757440fdb0b9e20e03d4e1b8?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/1e910856-d1ff-40c0-940c-52c308830db0JSONGET https://api.bluedoor.sh/job-postings/v1/sources/4d25639a-c8ed-4557-b74b-1e3ea0fc1b05JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/c596dc4fe3233e1e757440fdb0b9e20e03d4e1b8/eventsJSON