{"id":3532213,"url":"https://alion.io/job/exl-gen-aiprompt-engineer","title":"GEN AI/Prompt engineer","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":232,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16000,"max_usd":39000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":32},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","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":"Semantic Kernel","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false},{"name":"Weaviate","optional":false},{"name":"Multimodal AI","optional":true}],"status":"live","first_seen_at":"2026-10-30T12:43:37Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-01T12:49:02Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Required Technical Skills\nGenerative AI & LLMs\nStrong understanding of:Large Language Models (LLMs) \nPrompt Engineering techniques \nRetrieval-Augmented Generation (RAG) \nAI Agents / Agentic AI workflows \nFine-tuning concepts and model evaluation \n\nProgramming Skills\nHands-on experience with:Python \nREST APIs \nJSON handling and API integrations \n\nAI Frameworks & Tools\nExperience with:LangChain / LangGraph/LangSmith \nLlamaIndex\nSemantic Kernel \nKnowledge of Low Code Solution\n\nRole Overview\nWe are seeking a highly skilled and innovative GenAI Engineer / Prompt Engineer with 3-6 years of experience in building AI-powered applications leveraging Large Language Models (LLMs), Generative AI frameworks, and prompt engineering techniques.\nThe ideal candidate should have hands-on experience in designing AI agents, optimizing prompts, integrating LLM APIs, and developing scalable AI solutions for enterprise use cases. The role involves collaborating with product, engineering, and business teams to create impactful AI-driven applications and workflows.\nKey Responsibilities\nDesign, develop, and deploy Generative AI solutions using Large Language Models (LLMs). \nCreate, test, and optimize prompts for accuracy, consistency, and performance. \nBuild AI agents and multi-agent workflows for enterprise applications. \nIntegrate LLM APIs such as OpenAI, Anthropic Claude, Gemini, or open-source models. \nDevelop Retrieval-Augmented Generation (RAG) and Agentic AI solutions. \nWork on vector databases, embeddings, semantic search, and knowledge retrieval systems. \nCollaborate with data engineers and application teams for end-to-end AI solution integration. \nEvaluate model performance and improve outputs through prompt tuning and experimentation. \nImplement guardrails, security, and responsible AI practices. \nBuild reusable AI workflows, templates, and accelerators. \nStay updated with emerging trends in GenAI, LLMs, and AI frameworks. \n Generative AI & LLMs\nStrong understanding of:Large Language Models (LLMs) \nPrompt Engineering techniques \nRetrieval-Augmented Generation (RAG) \nAI Agents / Agentic AI workflows \nFine-tuning concepts and model evaluation \n\nProgramming Skills\nHands-on experience with:Python \nREST APIs \nJSON handling and API integrations \n\nAI Frameworks & Tools\nExperience with:LangChain / LangGraph/LangSmith \nLlamaIndex\nSemantic Kernel \nKnowledge of Low Code Solutions \n\nCloud & AI Platforms\nExposure to:Azure OpenAI \nAWS Bedrock \nGoogle Vertex AI \nDatabricks AI capabilities \n\nDatabases & Search\nExperience with:Vector databases (Pinecone, ChromaDB, FAISS, Weaviate) \nSQL / NoSQL databases \n\nDevOps & Engineering Practices\nKnowledge of:Git and version control \nCI/CD pipelines \nDocker and containerization \nAPI deployment and monitoring \n\nPreferred Qualifications\nBachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field. \nExperience building enterprise AI copilots or conversational AI applications. \nExposure to multi-modal AI solutions (text, image, audio). \nUnderstanding of AI governance, compliance, and responsible AI practices. \nExperience working with healthcare, supply chain, financial domains is a plus.\nPreferred Qualifications\nBachelor’s degree in Computer Science, Engineering, or related field. \nExperience working in enterprise-scale applications. \nExposure to AI-enabled or data-driven applications.","description_format":"text","description_chars":3375,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Business Process Outsourcing (BPO)","AI Consulting & Integration","Analytics & BI 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