{"id":4202746,"url":"https://alion.io/job/coditas-technologies-gen-ai-engineer-python","title":"Gen AI Engineer Python","company":{"id":4525375,"name":"Coditas Technologies","domain":"coditas.com","url":"https://alion.io/company/coditas-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, 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":"Celery","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Multimodal AI","optional":false},{"name":"MySQL","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Supabase","optional":false},{"name":"Weaviate","optional":false}],"status":"live","first_seen_at":"2026-11-12T22:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-12T22:35:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are seeking a skilled Generative AI Engineer with a strong background in Python to join our dynamic team. In this role, you will integrate backend development expertise with the latest advancements in AI to create impactful solutions. If you excel in a fast-paced environment and enjoy tackling complex challenges, we encourage you to apply.\n\nRoles and Responsibilities:\nDevelop and implement generative AI models using frameworks like LangChain or Llama-Index.\nApply prompt engineering techniques to design effective queries and ensure optimal LLM responses for diverse use cases.\nMaster advanced LLM functionalities, including prompt optimization, hyperparameter tuning, and response caching.\nImplement Retrieval-Augmented Generation (RAG) workflows by integrating vector databases like Pinecone, Weaviate, Supabase, or PGVector for efficient similarity searches.\nWork with embeddings and build solutions that leverage similarity search for personalized query resolution.\nExplore and process multimodal data, including image and video understanding and generation.\nIntegrate observability tools for monitoring and evaluating LLM performance to ensure system reliability.\nBuild and maintain scalable backend systems using Python frameworks such as FastAPI, Django, or Flask.\nDesign and implement RESTful APIs for seamless communication between systems and services.\nOptimize database performance with relational databases (PostgreSQL, MySQL) and integrate vector databases (Pinecone, PGVector, Weaviate, Supabase) for advanced AI workflows.\nImplement asynchronous programming and adhere to clean code principles for maintainable, high-quality code.\nSeamlessly integrate third-party SDKs and APIs, ensuring robust interoperability with external systems.\nDevelop backend pipelines for handling multimodal data processing, and supporting text, image, and video workflows.\nManage and schedule background tasks with tools like Celery, cron jobs, or equivalent job queuing systems.\nLeverage containerization tools such as Docker for efficient and reproducible deployments.\n\nYou Should Have:\nProficiency in Python and experience with backend frameworks like FastAPI, Django, or Flask.\nKnowledge of frameworks like LangChain, Llama-Index, or similar tools, with experience in prompt engineering and Retrieval-Augmented Generation (RAG).\nHands-on experience with relational databases (PostgreSQL, MySQL) and vector databases (Pinecone, Weaviate, Supabase, PGVector) for embeddings and similarity search.\nFamiliarity with LLMs, embeddings, and multimodal AI applications involving text, images, or video.\nProficiency in deploying AI models in production environments using Docker and managing pipelines for scalability and reliability.\nStrong skills in writing and managing unit and integration tests (e.g., Pytest), along with application debugging and performance optimization.\nUnderstanding of asynchronous programming concepts for handling concurrent tasks efficiently.\nSkills\nDjango, FastAPI, Flask, LangChain, LlamaIndex, 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