{"id":3598691,"url":"https://alion.io/job/raapid-inc-seniorprincipal-applied-ai-engineer-python","title":"Senior/Principal Applied AI Engineer - Python","company":{"id":2987931,"name":"RAAPID INC","domain":"raapidinc.com","url":"https://alion.io/company/raapidinc","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-02T06:13:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Ahmedabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CrewAI","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Neo4j","optional":false},{"name":"Node JS","optional":false},{"name":"Pinecone","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-11-02T05:12:44Z","employer_posted_date":null,"last_verified_at":"2026-11-02T05:12:44Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"About RAAPID : \n\nRAAPID is a leading healthcare technology innovator specializing in AI-enabled risk adjustment solutions. Funded by Microsoft and Great Place to Work-certified organization, we serve payers, healthcare providers, and support organizations with cutting-edge technology solutions that optimize revenue, ensure compliance, and reduce administrative costs.\n\nWhy RAAPID?\n\n- Backed by an unprecedented Industry Trifecta : M12 (Microsoft's Venture Fund), UPMC Enterprises, and Healthworx (CareFirst) - RAAPID is the only risk adjustment platform validated by a global technology giant, a world-class health system, and a top-tier payer investor simultaneously.\n\n- Industry Pioneer : Leveraging state-of-the-art artificial intelligence, machine learning, vision AI, and knowledge graphs to transform healthcare operations.\n\n- Strong Foundation : Built on four key pillars - Trust, Technical Competence, Stability, and Technical Innovation.\n\n- Recognition : Proud recipient of HITRUST certification, demonstrating our commitment to security and compliance.\n\n- Culture : Certified Great Place to Work, reflecting our dedication to employee satisfaction and professional growth.\n\n- Mission-Driven : Focused on revolutionizing value-based healthcare through customizable, AI-powered solutions.\n\n- Global Presence : Headquartered in Louisville, Kentucky, with a robust team of over 100 employees across the US and India.\n\nPosition Overview - Senior/Principal Applied AI Engineer : \n\nWe are establishing an Agentic AI Center of Excellence (CoE) to design, build, and deploy the next generation of autonomous digital workers across RAAPID. We are seeking pragmatic, high-velocity Senior Applied AI Engineers, and Principal Applied AI Engineers to join this specialized team as core \"Builders.\" This is a pure Individual Contributor (IC) track designed for engineers who love being hands-on with code and shipping production AI systems.\n\nAs a Builder, you will not just write code in a sandbox - you will own the entire lifecycle of your creations. You will be responsible for building AI agents, deploying them to production, maintaining their operational health, and continuously improving their accuracy, cost-efficiency, and user experience based on real-world usage and structured evaluation. You will work closely with CoE Champions (functional sponsors across Sales, Marketing, Product, Operations, HR, Legal, and Finance) and Translators (understanding of product + building) to convert business workflows into production-grade agentic systems that move the needle on revenue, efficiency, and quality of care.\n\nKey Responsibilities : \n\n- End-to-End Lifecycle Ownership : Build, deploy, maintain, and improve autonomous AI agents, custom API tools, and RAG pipelines.\n\n- Technical Implementation : Manage agentic frameworks, data integration (vector databases/knowledge graphs), and API tooling for enterprise systems.\n\n- AI Reasoning & Guardrails : Define evaluation frameworks (Evals), implement security guardrails, and optimize cost/latency for production SLOs.\n\n- Cross-Functional Collaboration : Partner with CoE Translators and business units to convert workflows into production-ready agent architectures.\n\nRequired Qualifications : \n\n- Technical Degree : Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.\n\n- Provable Portfolio : Strong GitHub profile with 3-5 repositories demonstrating LLM/AI API integration.\n\n- Senior Applied AI Engineer (IC) : 5+ years of professional software engineering experience, with 2+ years in production AI systems.\n\n- Principal Applied AI Engineer (IC) : 8+ years of professional software engineering experience, with 3+ years in production-grade agentic systems.\n\nTechnical Skills : \n\n- Languages : Python (highly preferred), SQL, Node.js / TypeScript.\n\n- AI Frameworks : LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph, Semantic Kernel.\n\n- Databases : PostgreSQL, MongoDB, Pinecone, Qdrant, Neo4j.\n\n- Cloud : Azure (preferred), AWS, or GCP.\n\nLocation : Ahmedabad, India.\n\nWhat We Offer : \n\n- Competitive compensation package commensurate with level and experience.\n\n- Opportunity to be a founding member of a high-impact Agentic AI Center of Excellence.\n\n- Access to 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