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HomeCompaniesArctiqAgentic AI Engineer

Agentic AI Engineer

Arctiq · Remote · Active · BambooHR

Job facts

FieldValue
CompanyArctiq
TitleAgentic AI Engineer
Normalized title-
Department / teamDelivery - Staff Aug
LocationPhiladelphia, PA, United States
Work modelRemote / Remote
Employment typeContract
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-06-12 / 2026-06-13
Changed / last seen2026-06-13 / 2026-06-20

Related slices

PageWhat it containsOpen
Company jobsActive postings from Arctiq.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 Philadelphia.Open
Department jobsActive postings in Delivery - Staff Aug.Open
Work model jobsActive Remote 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

CompanyArctiq
Source2f82a7e0-da20-4cf6-a6e6-e2cf69266ed6
ATS providerBambooHR

Description

Company Overview: Arctiq is a global, intelligence-driven technology services company delivering professional and managed services across Hybrid Cloud Infrastructure, Networking & Connected Experiences, Cybersecurity, Data & AI, Autonomous Operations & Intelligence, and Enterprise Service Management. We help organizations operate, secure, and modernize complex environments by unifying infrastructure, networking, data, security, automation, and observability under a single, integrated operating model. Our work focuses on helping customers reduce operational friction, improve resilience, and make better, faster decisions as their environments evolve. Arctiq builds on decades of industry expertise and a customer-centric ethos to deliver exceptional value to clients across diverse industries. This is a remote, contract opportunity for one of Arctiq’s clients. This team works EST hours. Position Overview: We are seeking a highly skilled Agentic AI Engineer to lead the design, development, deployment, and support of next-generation intelligent automation solutions. This role is focused on building production-grade AI agents and agentic workflows that automate complex business processes, integrate with enterprise systems, and deliver measurable business outcomes. Working closely with business stakeholders, architects, data teams, and developers, you will identify opportunities where AI agents can improve operational efficiency, accelerate decision-making, and transform business processes. You will be responsible for taking AI solutions from concept through production, ensuring they are scalable, secure, observable, and maintainable. Responsibilities: Design, develop, deploy, and maintain Agentic AI solutions that automate business processes and complex workflows. Build autonomous and semi-autonomous AI agents capable of reasoning, planning, tool usage, retrieval, memory management, and multi-step task execution. Develop and deploy multi-agent systems that collaborate to accomplish business objectives. Integrate Large Language Models (LLMs) from providers such as OpenAI, Anthropic, Google, Azure OpenAI, and open-source alternatives. Build Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources. Design and implement agent orchestration frameworks using technologies such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, LlamaIndex, or similar platforms. Develop APIs, microservices, and backend services that support AI-driven applications and workflows. Integrate AI agents with enterprise systems including CRM, ERP, ticketing platforms, collaboration tools, databases, and third-party SaaS applications. Implement robust observability, monitoring, evaluation, logging, guardrails, and governance frameworks for AI solutions. Collaborate with business stakeholders to identify automation opportunities and determine where AI agents can deliver measurable value. Evaluate emerging AI technologies and recommend practical approaches for implementation. Perform hands-on development using Agile and Scrum methodologies. Continuously optimize deployed AI systems for performance, reliability, cost efficiency, and user adoption. Troubleshoot production AI applications and rapidly resolve operational issues. Serve as a technical advisor on AI automation strategy, architecture, and implementation best practices. Qualifications: 5+ years of software engineering experience with modern application development. 1+ years of hands-on experience building and deploying Generative AI or Agentic AI solutions in production environments. Demonstrated experience designing, developing, and deploying AI agents that interact with APIs, databases, enterprise systems, and external tools. Proven experience building autonomous workflows using agent orchestration frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, LlamaIndex, or equivalent technologies. Strong Python development experience and familiarity with AI application development ecosystems. Experience integrating commercial and open-source LLMs into production applications. Strong understanding of prompt engineering, agent design patterns, tool calling, memory management, context management, and AI workflow orchestration. Experience implementing Retrieval-Augmented Generation (RAG) architectures and vector database solutions. Experience working with cloud platforms such as Azure, AWS, or GCP. Experience with Docker, containerized deployments, CI/CD pipelines, and modern DevOps practices. Ability to interpret SDK documentation and rapidly implement integrations with new platforms and services. Excellent problem-solving skills with the ability to decompose complex business challenges into scalable AI-driven solutions. Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences. Experience deploying AI solutions on Azure OpenAI, AWS Bedrock, Vertex AI, or similar enterprise AI platforms. Experience with MCP (Model Context Protocol) implementations and AI tool ecosystems. Bachelor's degree in Computer Science, Software Engineering, MIS, or related field. Arctiq is an equal opportunity employer. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply. We thank you for your interest in joining the Arctiq team! While we welcome all applicants, only those who are selected for an interview will be contacted.

Full job record

Job ID8ce8f61775719f3465edf12b1477ff3abe6d5f33
Org IDb647bc2a-4113-41af-b777-291fe19fbd61
Source ID2f82a7e0-da20-4cf6-a6e6-e2cf69266ed6
Board ID2f82a7e0-da20-4cf6-a6e6-e2cf69266ed6
Providerbamboohr
Provider Job Key267
TitleAgentic AI Engineer
Normalized Title
Statusactive
Activeyes
Location Text
DepartmentDelivery - Staff Aug
Team
Employment Typecontract
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionPA
CityPhiladelphia
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://arctiq.bamboohr.com/careers/267
Apply URLhttps://arctiq.bamboohr.com/careers/267
First Seen At2026-06-13 10:40:50Z
Last Seen At2026-06-20 10:51:14Z
Last Checked At2026-06-20 10:51:14Z
Last Changed At2026-06-13 10:40:50Z
Inactive At
Source Posted At2026-06-12 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=arctiq/date=2026-06-20/2026-06-20T10-51-12-468Z-0fb147ce3afafff1c3e3092d003f45192de333181a1ec2a3c4e05d415ed891b7.json
Event Fields
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Extensions
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    "description": "<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Company Overview:</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Arctiq is a global, intelligence-driven technology services company delivering professional and managed services across Hybrid Cloud Infrastructure, Networking &amp; Connected Experiences, Cybersecurity, Data &amp; AI, Autonomous Operations &amp; Intelligence, and Enterprise Service Management. We help organizations operate, secure, and modernize complex environments by unifying infrastructure, networking, data, security, automation, and observability under a single, integrated operating model. Our work focuses on helping customers reduce operational friction, improve resilience, and make better, faster decisions as their environments evolve. Arctiq builds on decades of industry expertise and a customer-centric ethos to deliver exceptional value to clients across diverse industries.</span></p>\n<p><br><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\"><span style=\"font-weight: bold; text-decoration: underline\">This is a remote, contract opportunity for one of Arctiq’s clients. This team works EST hours.</span></span><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\"><br></span><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Position Overview:</span><br></p>\n<p><br><br></p>\n<p>We are seeking a highly skilled Agentic AI Engineer to lead the design, development, deployment, and support of next-generation intelligent automation solutions. This role is focused on building production-grade AI agents and agentic workflows that automate complex business processes, integrate with enterprise systems, and deliver measurable business outcomes.</p>\n<p><br></p>\n<p>Working closely with business stakeholders, architects, data teams, and developers, you will identify opportunities where AI agents can improve operational efficiency, accelerate decision-making, and transform business processes. You will be responsible for taking AI solutions from concept through production, ensuring they are scalable, secure, observable, and maintainable.</p>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Responsibilities:</span></p>\n<p><br><br></p>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Design, develop, deploy, and maintain Agentic AI solutions that automate business processes and complex workflows.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Build autonomous and semi-autonomous AI agents capable of reasoning, planning, tool usage, retrieval, memory management, and multi-step task execution.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Develop and deploy multi-agent systems that collaborate to accomplish business objectives.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Integrate Large Language Models (LLMs) from providers such as OpenAI, Anthropic, Google, Azure OpenAI, and open-source alternatives.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Build Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Design and implement agent orchestration frameworks using technologies such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, LlamaIndex, or similar platforms.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Develop APIs, microservices, and backend services that support AI-driven applications and workflows.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Integrate AI agents with enterprise systems including CRM, ERP, ticketing platforms, collaboration tools, databases, and third-party SaaS applications.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Implement robust observability, monitoring, evaluation, logging, guardrails, and governance frameworks for AI solutions.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Collaborate with business stakeholders to identify automation opportunities and determine where AI agents can deliver measurable value.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Evaluate emerging AI technologies and recommend practical approaches for implementation.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Perform hands-on development using Agile and Scrum methodologies.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Continuously optimize deployed AI systems for performance, reliability, cost efficiency, and user adoption.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Troubleshoot production AI applications and rapidly resolve operational issues.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Serve as a technical advisor on AI automation strategy, architecture, and implementation best practices.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Qualifications:</span><br></p>\n<p><br></p>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">5+ years of software engineering experience with modern application development.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">1+ years of hands-on experience building and deploying Generative AI or Agentic AI solutions in production environments.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Demonstrated experience designing, developing, and deploying AI agents that interact with APIs, databases, enterprise systems, and external tools.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Proven experience building autonomous workflows using agent orchestration frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, LlamaIndex, or equivalent technologies.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Strong Python development experience and familiarity with AI application development ecosystems.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Experience integrating commercial and open-source LLMs into production applications.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Strong understanding of prompt engineering, agent design patterns, tool calling, memory management, context management, and AI workflow orchestration.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Experience implementing Retrieval-Augmented Generation (RAG) architectures and vector database solutions.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Experience working with cloud platforms such as Azure, AWS, or GCP.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Experience with Docker, containerized deployments, CI/CD pipelines, and modern DevOps practices.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Ability to interpret SDK documentation and rapidly implement integrations with new platforms and services.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Excellent problem-solving skills with the ability to decompose complex business challenges into scalable AI-driven solutions.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.</span></li>\n</ul>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Experience deploying AI solutions on Azure OpenAI, AWS Bedrock, Vertex AI, or similar enterprise AI platforms.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Experience with MCP (Model Context Protocol) implementations and AI tool ecosystems.</span><br></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Bachelor's degree in Computer Science, Software Engineering, MIS, or related field.</span></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"font-size: 12pt\">Arctiq is an equal opportunity employer. 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