{"id":2921831,"url":"https://alion.io/job/symphoni-hr-ai-developer-2","title":"AI Developer","company":{"id":3800108,"name":"Symphoni HR","domain":"symphonihr.com","url":"https://alion.io/company/symphoni-hr","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"A","score":93,"open_postings":40,"ghost_share":0,"stale_share":0,"repost_share":0.5,"time_to_fill_p50_days":45,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Chroma","optional":false},{"name":"FAISS","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"TypeScript","optional":false},{"name":"Weaviate","optional":false}],"status":"live","first_seen_at":"2026-10-16T00:00:00Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-29T13:01:22Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"We are seeking a skilled AI Developer to join our client's team in Mumbai. In this hybrid role, you will design and deploy production-ready AI applications, focusing on advanced RAG systems and complex reasoning workflows. You will collaborate with cross-functional teams to integrate sophisticated AI solutions into existing product ecosystems.\nOur client is a prominent global leader in the computer software industry, known for driving digital transformation through innovative technology solutions. They foster a collaborative and forward-thinking culture that empowers professionals to work on cutting-edge projects. With a focus on scalability and excellence, they provide an environment where technical expertise is highly valued and rewarded.\nResponsibilities\nDesign and develop production-ready AI applications using Python and modern LLM frameworks.\nImplement and optimize RAG systems to enhance LLM capabilities with external knowledge sources.\nBuild complex reasoning chains and agent workflows using LangChain and LangGraph.\nCreate and maintain vector databases for efficient information retrieval.\nDevelop custom tools and functions to extend LLM capabilities.\nOptimize prompt engineering strategies to improve model performance and accuracy.\nImplement evaluation frameworks to measure and improve system performance.\nCollaborate with cross-functional teams to integrate AI solutions into existing products.\nDocument code, architecture, and processes to facilitate knowledge sharing across the team.\nRequirements\nStrong proficiency in Python is required, with additional knowledge of JavaScript or TypeScript being highly beneficial.\nHands-on experience with LLM frameworks including LangChain, LangGraph, Langsmith, and LlamaIndex.\nProven experience working with vector databases such as Weaviate, Chroma, or FAISS.\nSolid understanding of API development using FastAPI or Flask.\nDeep knowledge of prompt engineering techniques and best practices.\nFamiliarity with embedding models, semantic search, and information retrieval concepts.\nExperience with streaming architectures for real-time AI applications.\nUnderstanding of AI services on major cloud platforms.\nSkills\nPython, LLM frameworks, RAG systems, LangChain, LangGraph, Vector databases, Prompt engineering, FastAPI, Flask, JavaScript, TypeScript, Langsmith, LlamaIndex, Weaviate, Chroma, 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