{"id":3214865,"url":"https://alion.io/job/practo-staff-ai-engineer-2","title":"Staff AI Engineer","company":{"id":6808,"name":"Practo","domain":"practo.com","url":"https://alion.io/company/practo","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":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":80000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AutoGen","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"CrewAI","optional":false},{"name":"Cursor","optional":false},{"name":"gRPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangGraph","optional":false},{"name":"Milvus","optional":false},{"name":"Pinecone","optional":false},{"name":"RAG","optional":false},{"name":"vLLM","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-10-24T20:36:30Z","employer_posted_date":null,"last_verified_at":"2026-10-24T20:36:30Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Responsibilities: \nBuild from Blank Canvas to Scale: Design and implement the end-to-end architecture of our core AI platform, ensuring it handles the complexity, security, and scale required by modern healthcare applications.\nOwn the Technical Horizon: Evaluate and integrate the latest open-source and proprietary AI technologies (agent orchestration frameworks, vector databases, model serving) to keep our stack at the absolute cutting edge.\nSet the Engineering Standard: Define what AI-first software engineering looks like for the rest of the organization through your architectural decisions and high-velocity output.\n\nRequirements: \nBattle-Tested Backend Expertise (~8+ Years): You are, first and foremost, a hardcore software engineer. You have spent years building, scaling, and maintaining complex backend systems. You have deep expertise in core backend infrastructure, including microservices architectures, Kubernetes, Kafka, gRPC, etc. You know what architectural decisions cause bottlenecks at scale, how to design robust APIs, and how to build systems that don't break under heavy load.\nA Pure Builder (100% IC): You are a dedicated, high-impact Individual Contributor. Your leverage comes from your technical architecture, system scalability, and raw code output.\nThe AI-Augmented Developer: You build with AI. You are fluent in the new paradigm of software engineering, aggressively leveraging tools like Claude Code, GitHub Copilot, and Cursor as massive force multipliers.\nDeeply Plugged into the AI Ecosystem: You understand agentic AI architectures, AI agent orchestration frameworks (e. g., LangGraph, AutoGen, CrewAI), vector databases (e. g., Pinecone, Milvus), retrieval-augmented generation (RAG) pipelines, and model serving infrastructure (e. g., vLLM).\nHigh Agency and Extreme Resourcefulness: You operate with a growth mindset and thrive in high-ambiguity, fast-paced environments. You don't wait for perfectly scoped requirements. 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