{"id":3703676,"url":"https://alion.io/job/inadev-python-ai-engineer","title":"Python +AI Engineer","company":{"id":2388355,"name":"Inadev","domain":"inadev.com","url":"https://alion.io/company/inadev","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kolkata, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"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":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-11-03T17:23:46Z","employer_posted_date":null,"last_verified_at":"2026-11-03T17:23:46Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Job Description:\nWe are hiring a Full Stack Developer with strong expertise in LLMs and Agentic AI systems to build and scale an enterprise-grade AI-powered SDLC automation platform. This is not a traditional full stack role — we are looking for engineers who can design, orchestrate, and optimize AI agents using AWS Bedrock, advanced prompt engineering, and LLM context/memory management, while also contributing across backend, frontend, and cloud infrastructure.\nExp: 10+yrs \nRoles & Responsibilities:\n1. Agentic AI System Development:\n· Design and implement multi-agent architectures powering SDLC automation\n· Build intelligent agents for- Requirement grooming, Code generation, Testing automation & Impact analysis\n· Optimize agent decision-making, orchestration, and outputs\n2. Cloud & AI Infrastructure:\n· Develop AI-driven applications using AWS Bedrock\n· Integrate foundation models and manage inference pipelines\n· Build scalable AI services for enterprise use\n3. 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