{"id":1307277,"url":"https://alion.io/job/conviction-hr-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":3806437,"name":"Conviction HR","domain":"convictionhr.com","url":"https://alion.io/company/conviction-hr","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":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":27},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Vertex AI","optional":false},{"name":"A2A","optional":true},{"name":"Google ADK","optional":true},{"name":"Google Cloud Run","optional":true},{"name":"Google GKE","optional":true},{"name":"Semantic Kernel","optional":true}],"status":"live","first_seen_at":"2026-09-26T12:54:23Z","employer_posted_date":null,"last_verified_at":"2026-09-26T12:54:23Z","board_verified":false,"closed_at":null,"days_open":17,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":17},"description":"Role : Senior AI Engineer \n\nExperience : 8 - 15 Years \n\nLocation : Hyderabad\n\nProject Domain : Banking & Financial Services\n\nRequired Tech Stack & Skills : \n\n1. Agentic AI : \n\n- AI Agents & Multi-Agent Systems, MCP Tools, RAG, Prompt Engineering, AI Safety, Evaluation Frameworks, Telemetry & Observability, and A2A Protocols\n\n2. AI Platforms & Frameworks (Any 2) : \n\n- Vertex AI, LangGraph, LangChain, Semantic Kernel, Google ADK, and Vector Databases\n\n3. Cloud-Native Engineering : \n\n- Strong hands-on experience with GCP, GKE, Cloud Run, Kubernetes, Microservices, and Event-Driven Architecture\n\n4. Software Engineering : \n\n- Python, FastAPI, API Development, CI/CD, Distributed Systems, and production-grade engineering practices\n\n5. 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