Gen AI Developer
TATA Consultancy Services Ltd
Hyderabad, Telangana, India
Type: Full-Time Arrangement: On-Site
3 - 7 Yrs850000 - 1500000(Annually)
Posted: 2 Sept 2026
Job Description
Gen AI Developer
Key Skills: Python, AWS Bedrock, SageMaker, Lambda, Agentic AI, LLMs, Vector Databases
We are looking for a Gen AI Developer to design and develop AI-powered applications using Large Language Models (LLMs) and AWS AI services. The candidate will work on building intelligent solutions, integrating AI models, managing vector databases, and developing scalable AI applications.
Responsibilities:
- Develop AI-powered applications using Python and AWS services.
- Build and integrate LLM-based solutions using AWS Bedrock.
- Design and implement RAG and Agentic AI workflows.
- Create and manage vector databases for semantic search and retrieval.
- Process, clean, and prepare data for AI applications.
- Deploy and monitor AI solutions using SageMaker and Lambda.
- Optimize model performance, scalability, and cost.
- Stay updated with the latest Gen AI advancements.
Required Skills:
- Strong Python programming skills.
- Experience with AWS Bedrock, SageMaker, and Lambda.
- Knowledge of LLMs, Prompt Engineering, and RAG.
- Experience with vector databases such as Pinecone, FAISS, or OpenSearch.
- Understanding of Agentic AI frameworks and AI application development.
Key Skills: Python, AWS Bedrock, SageMaker, Lambda, Agentic AI, LLMs, Vector Databases
We are looking for a Gen AI Developer to design and develop AI-powered applications using Large Language Models (LLMs) and AWS AI services. The candidate will work on building intelligent solutions, integrating AI models, managing vector databases, and developing scalable AI applications.
Responsibilities:
- Develop AI-powered applications using Python and AWS services.
- Build and integrate LLM-based solutions using AWS Bedrock.
- Design and implement RAG and Agentic AI workflows.
- Create and manage vector databases for semantic search and retrieval.
- Process, clean, and prepare data for AI applications.
- Deploy and monitor AI solutions using SageMaker and Lambda.
- Optimize model performance, scalability, and cost.
- Stay updated with the latest Gen AI advancements.
Required Skills:
- Strong Python programming skills.
- Experience with AWS Bedrock, SageMaker, and Lambda.
- Knowledge of LLMs, Prompt Engineering, and RAG.
- Experience with vector databases such as Pinecone, FAISS, or OpenSearch.
- Understanding of Agentic AI frameworks and AI application development.
Required Qualifications
- Strong Python programming expertise
- Hands-on experience with AWS Bedrock, SageMaker, and Lambda
- Proficiency in LLMs, Prompt Engineering, and RAG architectures
- Experience implementing vector databases like Pinecone, FAISS, or OpenSearch
- Practical knowledge of Agentic AI frameworks and AI application lifecycle
Preferred Qualifications
- AWS Certified Machine Learning – Specialty or Solutions Architect certification
- Experience with MLOps tools and CI/CD pipelines for AI models
- Familiarity with containerization (Docker/Kubernetes) for model deployment
- Background in NLP or computer vision projects
- Experience working in agile delivery environments
Skills Required
PythonAWS BedrockAmazon SageMakerAWS LambdaLarge Language Models (LLMs)Prompt EngineeringRetrieval-Augmented Generation (RAG)Vector DatabasesPineconeFAISSOpenSearchAgentic AIData PreprocessingModel DeploymentCloud ArchitectureAI IntegrationPerformance OptimizationTechnical Problem SolvingAgile MethodologiesContinuous Learning