Gen AI Engineer

Job Title: GenAI Engineer (1–3 Years)
Location: Chennai (Onsite Only)Experience: 1–3 YearsEmployment Type: Full-timeJob Description:We are looking for a GenAI Engineer with strong skills in Python, SQL, FastAPI, AWS Bedrock, and model deployment. The candidate should have hands-on experience working with LLMs, Generative AI frameworks, vector databases, and deploying AI workloads on AWS services such as ECS.Key Responsibilities:Develop, fine-tune, and deploy Generative AI and LLM models.Work with AWS Bedrock for model inference, orchestration, and scaling.Build and maintain APIs using FastAPI for AI model integration.Deploy applications and services using AWS ECS or similar container platforms.Build data pipelines and automation workflows using Python and SQL.Implement RAG pipelines, embeddings, and vector search for AI applications.Monitor model performance, optimize inference, and ensure reliability in production.Collaborate with product, data, and engineering teams to deliver AI-powered features.Required Skills:Strong Python programming experience including FastAPI.Strong SQL skills and ability to write optimized queries.Hands-on experience with AWS services such as ECS, Lambda, S3, CloudWatch, and IAM.Experience using AWS Bedrock or other LLM hosting platforms.Knowledge of containerization and deployment using Docker and ECS.Experience with LLMs and GenAI tools such as OpenAI, HuggingFace, and LangChain.Understanding of vector databases such as Pinecone, FAISS, or ChromaDB.Experience with model deployment, scaling, and monitoring.Good to Have:Experience with MLOps workflows.Exposure to fine-tuning methods such as LoRA or QLoRA.Basic understanding of machine learning concepts.Education:B.E, B.Tech, M.Tech, or MCA in Computer Science, IT, Data Science, or related fields.Why Join Us:Opportunity to work on real-world AI and LLM projects using the latest AWS technologies.Growth-oriented and innovation-focused environment.Strong opportunities for skill development and career advancement.Interested Candidates can also apply at info@kratosolutions.com