AI Engineer - Public Sector

Unstructured
Anywhere
Workplace: RemoteFull timeFunction: Government & Public AdministrationSkills: ["Autonomous problem solving","Collaboration","Systems-first engineering","Generalist mindset","Technical resourcefulness"]

Own the lifecycle of production AI solutions for Public Sector clients, from R&D through deployment. Build and ship production-grade RAG pipelines and agentic workflows in Python to process messy multimodal inputs (PDFs, scanned docs, images, video) with latency/cost/accuracy in mind. Experiment with new LLM and embedding approaches for deliverables, then collaborate on architectures, technical reports, and pre-sales solution design.

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FursaFursa
Unstructured
Unstructured
3 months ago

AI Engineer - Public Sector

âś“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Own the lifecycle of production AI solutions for Public Sector clients, from R&D through deployment. Build and ship production-grade RAG pipelines and agentic workflows in Python to process messy multimodal inputs (PDFs, scanned docs, images, video) with latency/cost/accuracy in mind. Experiment with new LLM and embedding approaches for deliverables, then collaborate on architectures, technical reports, and pre-sales solution design.
Location: Anywhere
Workplace: Remote
Employment Type: Full time
Job Function: Government & Public Administration

Key Responsibilities

  • •Own the lifecycle of AI solutions from initial research through AWS deployment as a high-agency individual contributor.
  • •Design and implement production-grade RAG pipelines and agentic workflows in Python for performant, scalable processing of messy data.
  • •Evaluate new LLMs and embedding models, prototype approaches for government deliverables, and run experiments to validate what works.
  • •Document architectures, contribute technical reports for contract deliverables, and support pre-sales calls for complex client needs.
  • •Translate high-level government requirements into technical roadmaps, selecting appropriate vector databases and multimodal pipeline approaches.

Pay and Benefits

Perks:Health InsuranceDentalVision401kEquityPaid LeaveParental LeaveHome Office

Key Requirements

  • •Proven experience deploying production RAG pipelines on real-world, messy datasets.
  • •Deep expertise in agentic system design, including tool-use and multi-agent orchestration.
  • •Strong Python engineering skills for clean, scalable, maintainable code.
  • •Experience operating in AWS/GovCloud environments.
  • •Ability to work in restricted or air-gapped environments when commercial APIs aren’t available.
Experience:LLMsRAGMultimodal dataGovernmentAir-gapped environments
Skills:Autonomous problem solvingCollaborationSystems-first engineeringGeneralist mindsetTechnical resourcefulness
Tech Stack:PythonSQLLangChainLangGraphCrewAIPineconeWeaviateChromaPgvectorNeo4JElasticsearchBM25Sentence-TransformersSpaCyGLiNERTransformersDSPyRAGASDeepEvalArize Phoenix

Eligibility

Security Clearance:SecretTS

Company Brief

Unstructured
Provides tools and libraries to extract, process, and structure data from various document types (PDFs, HTML, emails, images) for downstream ML and analytics workflows, enabling developers to turn unstructured content into usable data programmatically.
Industry: Data Infrastructure
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