{"id":3139167,"url":"https://alion.io/job/photon-senior-agentic-ai-engineer-python-boston","title":"Senior Agentic AI Engineer (Python)_Boston","company":{"id":3186451,"name":"Photon","domain":"photon.com","url":"https://alion.io/company/photon-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"D","score":52,"open_postings":713,"ghost_share":0.801,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":48000,"max":null,"currency":"USD","period":"year","gross":null,"usd_annual":48000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Confluence","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI SDK","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SharePoint","optional":false},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM Evaluation","optional":true},{"name":"LLMOps","optional":true},{"name":"OpenSearch","optional":true},{"name":"pgvector","optional":true},{"name":"Pinecone","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Vertex AI","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-08-11T02:22:54Z","employer_posted_date":"2026-08-11","last_verified_at":"2026-10-28T04:18:54Z","board_verified":true,"closed_at":null,"days_open":78,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":78},"description":"Senior Agentic AI Engineer (Python)\nExperience: 5-10 years\nLocation: Onsite / Offshore (Flexible)\nPrimary Objective\nWe are seeking a Senior Agentic AI Engineer to design, build, deploy, and operate enterprise-grade AI agents and multi-agent systems. The role focuses on Generative AI, LLMs, agentic workflows, RAG architectures, AI orchestration, and governed enterprise AI platforms-delivering scalable copilots, intelligent automation, and knowledge systems across onshore and offshore delivery environments.\nSuccess looks like: production-ready agents with measurable reliability, governed RAG integrated into enterprise systems, and clear observability/guardrails for business use cases.\nKey Responsibilities\nPrimary\nDesign, develop, and deploy AI agents and multi-agent workflows using Python and agentic frameworks (e.g., LangChain, LangGraph, or equivalent). \nBuild enterprise-scale RAG solutions over structured and unstructured data sources. \nDevelop agent orchestration workflows integrating models, tools, APIs, and enterprise services. \nBuild AI-powered copilots, assistants, and automation solutions for enterprise use cases. \nImplement AI monitoring, observability, tracing, telemetry, and performance measurement. \nAlso expected\nImplement agent memory patterns (short-term, long-term, episodic). \nIntegrate agents with enterprise platforms (APIs, databases, SharePoint, Confluence, Salesforce, knowledge repositories). \nContribute to AI governance: guardrails, security controls, policy enforcement, and compliance. \nOptimize prompts, reasoning strategies, workflows, and execution performance. \nCollaborate with Data Science and ML teams on evaluation, optimization, and continuous improvement. \nMust-Have Experience & Skills\n5-10 years of software engineering experience with strong Python expertise. \n3+ years designing and implementing AI/ML solutions. \nHands-on experience building Generative AI applications using LLMs, RAG, and agentic frameworks (LangChain/LangGraph or equivalent; OpenAI SDK or similar). \nExperience delivering enterprise-grade AI solutions in production. \nExperience with distributed onshore/offshore team delivery. \nSolid API/service engineering fundamentals (REST/async services, integration patterns). \nPractical understanding of AI observability, evaluation, and production reliability. \nPreferred Skills\nCloud AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI, or similar). \nVector databases / search (pgvector, OpenSearch, Pinecone, Weaviate, or similar). \nLLMOps tooling (tracing, eval harnesses, prompt/version management). \nEnterprise integrations (SharePoint, Confluence, Salesforce). \nContainerized deployment practices (Docker; Kubernetes a plus). \nAI security, PII handling, and guardrail frameworks. \nSoft Skills\nClear written and verbal communication with technical and business stakeholders. \nAbility to own delivery end-to-end in a distributed team model. \nPragmatic trade-off judgment between speed, quality, cost, and governance. \nCompensation, Benefits and Duration\nMinimum Compensation: USD 48,000\nMaximum Compensation: USD 168,000\nCompensation is based on actual experience and qualifications of the candidate. 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