{"id":4333725,"url":"https://alion.io/job/capri-global-capital-ai-platform-engineer-2","title":"AI Platform Engineer","company":{"id":996,"name":"Capri Global Capital","domain":"cgcl.co.in","url":"https://alion.io/company/capri-global-capital","size_band":"5000+","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":["Gurgaon, 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":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Chroma","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FAISS","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Milvus","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Weaviate","optional":false},{"name":"JavaScript","optional":true},{"name":"LangGraph","optional":true},{"name":"LLMOps","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Next.js","optional":true},{"name":"React.js","optional":true},{"name":"SQL","optional":true},{"name":"Streamlit","optional":true},{"name":"Text-to-Speech","optional":true}],"status":"live","first_seen_at":"2026-11-15T09:35:31Z","employer_posted_date":null,"last_verified_at":"2026-11-15T09:35:31Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for a highly skilled AI Platform Engineer with 4-6 years of experience in building AI-driven applications using Large Language Models (LLMs) and modern AI frameworks. The ideal candidate will have hands-on expertise in designing, developing, and deploying GenAI solutions such as chatbots, automation tools, intelligent assistants, and AI-powered workflows that solve real business problems. You will work closely with cross-functional teams to integrate AI capabilities into products and processes, ensuring scalable, secure, and production-ready implementations.\n\nResponsibilities: \nDesign, develop, and deploy applications powered by Large Language Models (LLMs).\nBuild and optimise RAG (Retrieval Augmented Generation) pipelines using vector databases.\nDevelop AI agents and automation workflows using modern agent frameworks.\nFine-tune, evaluate, and optimise models for performance, accuracy, and cost efficiency.\nIntegrate AI models with enterprise systems through APIs and microservices.\nImplement prompt engineering strategies and guardrails for safe AI usage.\nWork on multimodal AI applications (text, images, audio) when required.\nDeploy AI solutions on cloud platforms, ensuring scalability and reliability.\nCollaborate with product managers, data scientists, and engineers to deliver AI features.\nStay updated with the latest advancements in Generative AI technologies.\n\nRequirements: \nStrong programming experience in Python.\nHands-on experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic, Gemini, etc. ).\nExperience with LangChain, LlamaIndex, or similar orchestration frameworks.\nKnowledge of Vector Databases (Pinecone, Weaviate, FAISS, Chroma, Milvus).\nExperience in building RAG-based applications.\nUnderstanding of Prompt Engineering & Model Evaluation Techniques.\nExperience with REST APIs, FastAPI, or Flask.\nFamiliarity with Docker, Git, CI/CD pipelines.\n\nCloud and Deployment: \nExperience with at least one cloud platform: AWS / Azure / GCP.\nKnowledge of Kubernetes (good to have).\nKnowledge of serverless deployment.\nKnowledge of model monitoring tools.\n\nPreferred Skills: \nExperience building AI Agents / Autonomous Systems.\nKnowledge of MLOps / LLMOps practices.\nExperience with Speech-to-Text / Text-to-Speech systems.\nFrontend integration knowledge (React / Streamlit / Next.js ).\nExperience working with enterprise data systems and databases (SQL / NoSQL).\nUnderstanding of AI safety, governance, and responsible AI principles.\nSkills\nAWS, Chatbots, LLM, LangChain, LangGraph, MCP, Python, RAG, voice","description_format":"text","description_chars":2549,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Business & SME Lending","Mortgage Lending & Brokers"],"lifecycle":[{"event":"open","at":"2026-11-15T09:35:31Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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