{"id":4042956,"url":"https://alion.io/job/hudson-manpower-ai-software-engineer-iii","title":"AI Software Engineer III","company":{"id":678128,"name":"Hudson Manpower","domain":"hudsonmanpower.com","url":"https://alion.io/company/hudsonmanpower","size_band":"1001-5000","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"A","score":92,"open_postings":87,"ghost_share":0,"stale_share":0.115,"repost_share":0.011,"time_to_fill_p50_days":184,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Farmington Hills, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":40,"max":50,"currency":"USD","period":"hour","gross":null,"usd_annual":100000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Strands Agents","optional":false},{"name":"Boto3","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"LLM","optional":false},{"name":"pgvector","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Pydantic","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Structured Outputs","optional":false}],"status":"live","first_seen_at":"2026-11-10T20:47:36Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T22:48:49Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Position Summary\nThe AI Software Engineer III will be responsible for designing, developing, and supporting secure, scalable AI-enabled applications. The role focuses on Python development, Generative AI, prompt engineering, Retrieval-Augmented Generation (RAG), document intelligence, AI agents, and enterprise AI integration.\nLocation: Farmington Hills, MI (Onsite - 4 days per week)\nExperience: 8+ Years\nWork Arrangement: Onsite - Local candidates strongly preferred\nKey Responsibilities\nDesign and develop production-quality applications and AI services using Python.\n\nBuild Generative AI capabilities using Amazon Bedrock and Large Language Models (LLMs).\n\nDesign, develop, test, and optimize prompts, including prompt templates, structured outputs, and reusable prompt patterns.\n\nDevelop RAG, intelligent search, embedding, and vector retrieval solutions.\n\nBuild AI agents and agent-based workflows using frameworks such as Strands Agents.\n\nDevelop reusable AI services and APIs using FastAPI and Pydantic.\n\nIntegrate AI solutions with structured and unstructured enterprise data.\n\nSupport document processing and extraction using Amazon Textract.\n\nImplement vector-based retrieval using PostgreSQL/pgvector.\n\nEstablish safeguards for AI output quality, reliability, validation, traceability, and secure data handling.\n\nOptimize AI solutions for performance, latency, token usage, and cost.\n\nDevelop automated testing and evaluation capabilities for AI solutions.\n\nCollaborate with application, data, DevOps, QA, architecture, cybersecurity, and business teams.\n\nRequired Qualifications\n8+ years of experience in Python development, software engineering, AI/ML engineering, or related fields.\n\nStrong hands-on experience with Python, REST APIs, FastAPI, Pydantic, and boto3.\n\nExperience with Amazon Bedrock, LLM integration, and Generative AI solutions.\n\nStrong expertise in prompt engineering, including prompt design, testing, optimization, structured outputs, and evaluation.\n\nExperience with RAG, embeddings, semantic search, vector databases, and PostgreSQL/pgvector.\n\nExperience developing AI agents and agentic workflows, preferably using Strands Agents.\n\nHands-on experience with Amazon Textract, AWS, Docker, and automated testing.\n\nStrong understanding of AI security, data protection, responsible AI, and enterprise governance.\n\nExperience working in large enterprise or regulated environments.\n\nInterview Process\nInternal Technical Screening: 20-30 minutes.\n\nClient Interview: Virtual.\n\nRequirements\nTop Required Skills\n8+ years of experience in Python development, software engineering, AI/ML engineering, or related roles.\n\nHands-on experience with Amazon Textract, AWS, Docker, and automated testing.\n\nExperience developing AI agents and agentic workflows, preferably using Strands Agents.\n\nStrong experience with Amazon Bedrock, LLM integration, and Generative AI solutions.\n\nExperience with RAG, embeddings, semantic search, vector databases, and PostgreSQL/pgvector.\n\nStrong prompt engineering skills, including prompt design, testing, optimization, structured outputs, and evaluation.\n\nProficiency in Python, REST APIs, FastAPI, Pydantic, and boto3.\n\nStrong understanding of AI security, data protection, responsible AI, and enterprise governance.","description_format":"text","description_chars":3272,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity"],"lifecycle":[{"event":"open","at":"2026-11-10T22:48:49Z"}],"visa":[],"liveness":{"score":52,"band":"ok","label":"Likely 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