{"id":3746787,"url":"https://alion.io/job/hcltech-sr-genai-engineer-vectordband-postgresql-2","title":"Sr GenAI Engineer - VectorDBand PostgreSQL","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","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":["Noida, 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":"Azure","optional":false},{"name":"Django","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MySQL","optional":false},{"name":"Pinecone","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false}],"status":"live","first_seen_at":"2026-11-04T13:31:48Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-06T21:07:54Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Summary\nThis role is responsible for supporting the development and maintenance of GenAI-powered applications, focusing on prompt engineering and leveraging large language models (LLMs). The individual applies Python programming and RESTful API integration to deliver reliable solutions, ensuring feature enhancements and bug resolution align with business objectives. They contribute to the implementation of vector databases and support data-driven features, collaborating within the team to meet defined quality standards.\nKey Responsibilities\n1. Maintain and enhance GenAI application features using Python and prompt engineering, ensuring alignment with client requirements and project standards.\n2. Troubleshoot and resolve bugs in LLM-based modules by utilizing RESTful APIs and database queries with PostgreSQL and VectorDB.\n3. Implement and test prompt engineering strategies to optimize LLM outputs, supporting new feature development and minor enhancements.\n4. Develop and integrate RESTful APIs using frameworks such as Flask, Django, or FastAPI to enable seamless communication between GenAI components.\n5. Support data storage and retrieval tasks by writing queries and managing schemas in PostgreSQL and VectorDB, ensuring data integrity for GenAI models.\n6. Participate in code reviews and documentation activities, contributing to CMMi and client requirement documents for GenAI solutions.\nSkill Requirements\n1. Strong Understanding Of Genai Concepts, Prompt Engineering, And Llm Application.\n2. Good Proficiency In Python Programming For Genai Development.\n3. Experience With Restful Api Creation And Integration Using Flask, Django, Or Fastapi.\n4. Familiarity With Database Management Using Postgresql, Mysql, And Vectordb Technologies Such As Pinecone.\n5. Basic Knowledge Of Embedding Techniques And Azure Ai Search For Genai Solutions.\n6. Ability To Participate In Code Reviews And Technical Documentation Processes.\nOther Requirements\n1. Optional but valuable: Microsoft Certified: Azure AI Engineer Associate\n2. 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