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AI Engineer

Delveaccount · Minsk, BY, 220069, Belarus · Hybrid · Active · BambooHR

Job facts

FieldValue
CompanyDelveaccount
TitleAI Engineer
Normalized title-
Department / team-
LocationMinsk, BY
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-03-24 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Delveaccount.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Minsk.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyDelveaccount
Source9b0564fb-de43-40fa-a0ec-45fe8a64c6db
ATS providerBambooHR

Description

WHO WE ARE Delve Deeper is a performance media agency focused on the charity and nonprofit sector, partnering with organizations that invest $5M–$20M annually in media. We help mission-driven teams maximize impact through advanced digital strategies that drive measurable, scalable results. Our expertise includes advanced analytics, intent-based audience segmentation, full-service media management, and personalized creative—delivering a fully integrated, data-driven approach to growth. More than a vendor, we serve as a strategic partner, helping organizations solve complex media challenges and turn them into clear outcomes. With decades of leadership experience, Delve Deeper is a trusted voice in the charity space. We’ve also been named Built In Colorado’s “Best Places to Work” for five consecutive years, reflecting a culture that values performance, growth, and people. As a privately owned company, we move quickly, support our team holistically, and create meaningful opportunities for advancement. ROLE OVERVIEW Dedicated individual contributor focused entirely on building and maintaining a multi-agent AI system that automates performance media trading decisions. This is not a generalist developer role. You will work within a complex multi-agent codebase, operate under strict evaluation-first protocols, and develop deep enough understanding of the business domain to make sound implementation decisions without constant oversight. Data errors have direct financial consequences for clients — engineering quality is non-negotiable. CORE RESPONSIBILITIES Agent Development:   Build, iterate, and maintain AI agents within the architecture and boundaries defined by the Lead AI Engineer. Own your agents end-to-end: prompt design, tool wiring, context routing, failure handling, and output validation. Data Integration:   Integrate data components across media platforms — ingesting, normalizing to schema, and routing to the correct agent context. Work within defined data contracts and surface schema drift before it becomes a runtime failure. Evaluation-First Development:   No feature enters development without defined success criteria and regression tests. Run prompt benchmarking, track output quality across model versions, and flag hallucination patterns or quality regressions proactively. Evaluation is not a post-build step. Pipeline & ETL Work:   Build and maintain ETL/ELT pipelines supporting daily automated callouts and weekly optimisation reporting. Own data freshness and pipeline reliability for the agents you are responsible for. MCP Connector Work:   Operate within and extend the MCP connector library for external platform APIs. Handle rate limits, retries, and failure modes — connectors must be resilient in production, not just in testing. Human-in-the-Loop Workflows:   Build and maintain Slack-based approval flows — agent callouts, feedback capture, exception alerts, and operational notifications. These are the primary interface between the AI system and human decision-makers. Production Reliability:   Own the reliability of your agents in production. Monitor output quality, respond to incidents, drive root-cause fixes rather than surface patches. Alert the Lead AI Engineer early on scope or complexity that affects delivery. CANDIDATE PROFILE 4+ years across software, data engineering, ML, or AI platform work with direct ownership of production systems Experience with media platform APIs (Google Ads, Meta, DV360, Semrush, SerpAPI) Strong Python and SQL — production-grade, not just analytical scripts MCP or equivalent integration layer experience Hands-on experience building or operating LLM applications, agentic systems, or tool-calling workflows Workflow orchestration tooling: Airflow, Dagster, Prefect, dbt ETL/ELT pipeline design and data reliability in production — schema management, contract enforcement, freshness monitoring Cloud infrastructure: AWS, GCP, or Azure; containerized deployments (Docker) Experience defining evaluation frameworks and success criteria for model outputs Slack API and webhook-based workflow automation Familiarity with vector databases and RAG patterns for long-context data retrieval Experience shipping systems that mix model logic, deterministic business rules, and human approval flows LLM evaluation tooling — token cost tracking, hallucination detection, model benchmarking THIS ROLE IS NOT Generalist developers without LLM or agentic system experience Prompt engineering work without responsibility for data quality and pipeline reliability Low-code automation builders (n8n, Make, Zapier) A role with loose evaluation standards or optional quality gates Research-only AI scientists without production ownership A role where shipping late with a perfect solution is acceptable Candidates who need architecture decisions made for them before starting A role without direct accountability for production incidents on your agents WHAT WE OFFER Work schedule: 12 pm- 8 pm A competitive salary and an annual bonus opportunities A promote from within culture and the chance to define your career growth Health and dental insurance (after trial period) 28 calendar PTO days Flexible sick days policy backed by full 100% short-time disability coverage Brand new office in Minsk, built and designed exclusively for DELVE English language tuition covered for specific positions Compensation of sports facilities (after trial period) Mental health reimbursement (after trial period) Generous employee referral bonuses Hybrid Working Model: Tuesdays, Wednesdays, Thursdays in office with the option to work from home on Mondays and Fridays Please submit your CV in English!

Full job record

Job ID9d527f3087bb85259a4337a600fc8a0ba23140f8
Org ID0c2902eb-4c26-44da-aef1-5270415bb825
Source ID9b0564fb-de43-40fa-a0ec-45fe8a64c6db
Board ID9b0564fb-de43-40fa-a0ec-45fe8a64c6db
Providerbamboohr
Provider Job Key360
TitleAI Engineer
Normalized Title
Statusactive
Activeyes
Location TextMinsk, BY, 220069, Belarus
Department
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
Country
RegionBY
CityMinsk
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://delveaccount.bamboohr.com/careers/360
Apply URLhttps://delveaccount.bamboohr.com/careers/360
First Seen At2026-05-30 05:59:01Z
Last Seen At2026-06-06 10:23:20Z
Last Checked At2026-06-06 10:23:20Z
Last Changed At2026-05-30 05:59:01Z
Inactive At
Source Posted At2026-03-24 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=delveaccount/date=2026-06-06/2026-06-06T10-23-18-950Z-d50a39eb3f8ecd2d71992153691a4aa6d47fc2a252e01c1db086dac4560412ae.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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    "description": "<p><span style=\"color: rgb(0, 180, 166); font-family: Arial, sans-serif; font-size: 8pt; font-weight: bold\">WHO WE ARE</span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Delve Deeper is a performance media agency focused on the charity and nonprofit sector, partnering with organizations that invest $5M–$20M annually in media. We help mission-driven teams maximize impact through advanced digital strategies that drive measurable, scalable results.</span></p>\n<p><br><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Our expertise includes advanced analytics, intent-based audience segmentation, full-service media management, and personalized creative—delivering a fully integrated, data-driven approach to growth.</span></p>\n<p><br><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">More than a vendor, we serve as a strategic partner, helping organizations solve complex media challenges and turn them into clear outcomes. With decades of leadership experience, Delve Deeper is a trusted voice in the charity space.</span></p>\n<p><br><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">We’ve also been named Built In Colorado’s “Best Places to Work” for five consecutive years, reflecting a culture that values performance, growth, and people. As a privately owned company, we move quickly, support our team holistically, and create meaningful opportunities for advancement.</span></p>\n<p><br></p>\n<p><span style=\"color: rgb(0, 180, 166); font-family: Arial, sans-serif; font-size: 8pt; font-weight: bold\">ROLE OVERVIEW</span></p>\n<p><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">Dedicated individual contributor focused entirely on building and maintaining a multi-agent AI system that automates performance media trading decisions. This is not a generalist developer role. You will work within a complex multi-agent codebase, operate under strict evaluation-first protocols, and develop deep enough understanding of the business domain to make sound implementation decisions without constant oversight. Data errors have direct financial consequences for clients — engineering quality is non-negotiable.</span></p>\n<p><br></p>\n<p><span style=\"color: rgb(0, 180, 166); font-family: Arial, sans-serif; font-size: 8pt; font-weight: bold\">CORE RESPONSIBILITIES</span></p>\n<ul>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Agent Development:<span> </span></span><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">Build, iterate, and maintain AI agents within the architecture and boundaries defined by the Lead AI Engineer. Own your agents end-to-end: prompt design, tool wiring, context routing, failure handling, and output validation.</span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Data Integration:<span> </span></span><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">Integrate data components across media platforms — ingesting, normalizing to schema, and routing to the correct agent context. Work within defined data contracts and surface schema drift before it becomes a runtime failure.</span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Evaluation-First Development:<span> </span></span><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">No feature enters development without defined success criteria and regression tests. Run prompt benchmarking, track output quality across model versions, and flag hallucination patterns or quality regressions proactively. Evaluation is not a post-build step.</span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Pipeline &amp; ETL Work:<span> </span></span><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">Build and maintain ETL/ELT pipelines supporting daily automated callouts and weekly optimisation reporting. Own data freshness and pipeline reliability for the agents you are responsible for.</span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">MCP Connector Work:<span> </span></span><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">Operate within and extend the MCP connector library for external platform APIs. Handle rate limits, retries, and failure modes — connectors must be resilient in production, not just in testing.</span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Human-in-the-Loop Workflows:<span> </span></span><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">Build and maintain Slack-based approval flows — agent callouts, feedback capture, exception alerts, and operational notifications. These are the primary interface between the AI system and human decision-makers.</span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Production Reliability:<span> </span></span><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">Own the reliability of your agents in production. Monitor output quality, respond to incidents, drive root-cause fixes rather than surface patches. Alert the Lead AI Engineer early on scope or complexity that affects delivery.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: rgb(0, 180, 166); font-family: Arial, sans-serif; font-size: 8pt; font-weight: bold\">CANDIDATE PROFILE</span></p>\n<ul>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">4+ years across software, data engineering, ML, or AI platform work with direct ownership of production systems</span></li>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">Experience with media platform APIs (Google Ads, Meta, DV360, Semrush, SerpAPI)</span></li>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">Strong Python and SQL — production-grade, not just analytical scripts</span></li>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">MCP or equivalent integration layer experience</span></li>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">Hands-on experience building or operating LLM applications, agentic systems, or tool-calling workflows</span></li>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">Workflow orchestration tooling: Airflow, Dagster, Prefect, dbt</span></li>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">ETL/ELT pipeline design and data reliability in production — schema management, contract enforcement, freshness monitoring</span></li>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">Cloud infrastructure: AWS, GCP, or Azure; containerized deployments (Docker)</span></li>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">Experience defining evaluation frameworks and success criteria for model outputs</span></li>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">Slack API and webhook-based workflow automation</span></li>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">Familiarity with vector databases and RAG patterns for long-context data retrieval</span></li>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">Experience shipping systems that mix model logic, deterministic business rules, and human approval flows</span></li>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">LLM evaluation tooling — token cost tracking, hallucination detection, model benchmarking</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: rgb(0, 180, 166); font-family: Arial, sans-serif; font-size: 8pt; font-weight: bold\">THIS ROLE IS NOT</span></p>\n<ul>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">Generalist developers without LLM or agentic system experience</span></li>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">Prompt engineering work without responsibility for data quality and pipeline reliability</span></li>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">Low-code automation builders (n8n, Make, Zapier)</span></li>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">A role with loose evaluation standards or optional quality gates</span></li>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">Research-only AI scientists without production ownership</span></li>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">A role where shipping late with a perfect solution is acceptable</span></li>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">Candidates who need architecture decisions made for them before starting</span></li>\n<li><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\">A role without direct accountability for production incidents on your agents</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: rgb(68, 68, 68); font-family: Arial, sans-serif; font-size: 10pt\"><span style=\"color: rgb(0, 180, 166); font-family: Arial, sans-serif; font-size: 8pt; font-weight: bold\">WHAT WE OFFER</span></span><br></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Work schedule: 12 pm- 8 pm</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">A competitive salary and an annual bonus opportunities</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">A promote from within culture and the chance to define your career growth</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Health and dental insurance (after trial period)</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">28 calendar PTO days</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Flexible sick days policy backed by full 100% short-time disability coverage</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Brand new office in Minsk, built and designed exclusively for DELVE</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">English language tuition covered for specific positions</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Compensation of sports facilities (after trial period)</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Mental health reimbursement (after trial period)</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Generous employee referral bonuses</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Hybrid Working Model: Tuesdays, Wednesdays, Thursdays in office with the option to work from home on Mondays and Fridays</span><br></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"font-size: 10pt\"><span style=\"font-family: arial, helvetica, sans-serif; font-weight: bold\">Please submit your CV in English!</span></span></p>",
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