{"id":3157981,"url":"https://alion.io/job/exl-project-manager-6","title":"Project Manager","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":80,"open_postings":268,"ghost_share":0,"stale_share":0.996,"repost_share":0.004,"time_to_fill_p50_days":15,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Management","role_family":"Management","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":["New Delhi, 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API","optional":false},{"name":"Seaborn","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Transformers","optional":false},{"name":"Weaviate","optional":false}],"status":"live","first_seen_at":"2026-07-28T08:03:15Z","employer_posted_date":"2026-07-28","last_verified_at":"2026-10-30T11:13:41Z","board_verified":true,"closed_at":null,"days_open":94,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":92},"description":"Responsibilities\nGenAI Application Development\nDevelop LLM-powered applications using Python-based frameworks.\nImplement RAG pipelines and vector database integrations.\nBuild prompt orchestration workflows and response optimization logic.\nAgentic Workflow Implementation\nDevelop AI agents with tool integration capabilities.\nImplement reasoning loops, memory modules, and execution controls.\nIntegrate AI agents into backend systems and APIs.\nDeployment & Optimization\nBuild REST APIs and microservices for AI applications.\nOptimize inference performance, latency, and cost.\nSupport CI/CD pipelines and cloud deployments.\nTesting & Quality\nImplement evaluation metrics for hallucination control and accuracy.\nDebug and resolve performance bottlenecks.\nDocument code, workflows, and solution design.\nExperience and Competency Requirements\n4-8 years of software development experience.\n2+ years working with AI/ML or GenAI applications.\nStrong proficiency in Python.\nExperience with LLM APIs, embeddings, and vector databases.\nExposure to cloud-based deployments and containerization.\nStrong analytical and debugging capabilities.\nShould have decent to good experience in data handling and analytics with python\nSkills\nGenAI & LLM Frameworks (Mandatory)\nOpenAI APIs / Azure OpenAI\nLangChain / LangGraph / LlamaIndex\nTransformers (Hugging Face)\nPrompt engineering and evaluation frameworks\nAgentic Systems & Orchestration\nMulti-agent design patterns (MCP, A2A, ReAct etc)\nTool integrations and API orchestration\nMemory frameworks and contextual reasoning\nGuardrails, observability, and monitoring\nData & Infrastructure\nVector databases (Pinecone, FAISS, Weaviate or equivalent)\nPython, FastAPI, REST services\nDocker, Kubernetes\nCloud platforms (AWS, Azure, GCP)\nData Handling & Analytics Skills\nData preprocessing and ETL for structured and unstructured data\nData manipulation using Pandas, NumPy, and SQL\nExploratory data analysis (EDA) and statistical analysis\nData visualization (Matplotlib, Seaborn, Plotly, Tableau, Power BI)\n Responsibilities\nGenAI Application Development\nDevelop LLM-powered applications using Python-based frameworks.\nImplement RAG pipelines and vector database integrations.\nBuild prompt orchestration workflows and response optimization logic.\nAgentic Workflow Implementation\nDevelop AI agents with tool integration capabilities.\nImplement reasoning loops, memory modules, and execution controls.\nIntegrate AI agents into backend systems and APIs.\nDeployment & Optimization\nBuild REST APIs and microservices for AI applications.\nOptimize inference performance, latency, and cost.\nSupport CI/CD pipelines and cloud deployments.\nTesting & Quality\nImplement evaluation metrics for hallucination control and accuracy.\nDebug and resolve performance bottlenecks.\nDocument code, workflows, and solution design.\nExperience and Competency Requirements\n4-8 years of software development experience.\n2+ years working with AI/ML or GenAI applications.\nStrong proficiency in Python.\nExperience with LLM APIs, embeddings, and vector databases.\nExposure to cloud-based deployments and containerization.\nStrong analytical and debugging capabilities.\nShould have decent to good experience in data handling and analytics with python\nSkills\nGenAI & LLM Frameworks (Mandatory)\nOpenAI APIs / Azure OpenAI\nLangChain / LangGraph / LlamaIndex\nTransformers (Hugging Face)\nPrompt engineering and evaluation frameworks\nAgentic Systems & Orchestration\nMulti-agent design patterns (MCP, A2A, ReAct etc)\nTool integrations and API orchestration\nMemory frameworks and contextual reasoning\nGuardrails, observability, and monitoring\nData & Infrastructure\nVector databases (Pinecone, FAISS, Weaviate or equivalent)\nPython, FastAPI, REST services\nDocker, Kubernetes\nCloud platforms (AWS, Azure, GCP)\nData Handling & Analytics Skills\nData preprocessing and ETL for structured and unstructured data\nData manipulation using Pandas, NumPy, and SQL\nExploratory data analysis (EDA) and statistical analysis\nData visualization (Matplotlib, Seaborn, Plotly, Tableau, Power BI)\n Minimum Qualification\nBachelor’s degree required\nM.Tech/ MS in Computer Science, AI, or related field preferred; Required Experience: 4-6 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