Walk-in Interview Details
Attend the TCS Deccan Park venue between 9:00 AM and 1:00 PM on October 10, 2026. Carry an updated resume and be prepared to discuss your Python and Generative AI project experience. The supplied listing does not provide a separate contact person or additional document checklist.
About the job
Tata Consultancy Services is conducting a Generative AI walk-in drive in Hyderabad on October 10, 2026. The listing shows 20 openings and requires candidates with experience in Python, LLM integrations and Generative AI development.
The role focuses on building Python-based GenAI applications, APIs, RAG workflows and LLM integrations. Candidates should have experience with LangChain, LangGraph, FastAPI and REST APIs, with at least one project already deployed in production.
What You’ll Do
- Develop Python modules for data ingestion, prompt orchestration and basic tool-agent workflows.
- Build REST APIs and microservices using FastAPI or Flask to connect LLMs with enterprise data.
- Develop RAG components covering ingestion, embeddings, chunking and retrieval.
- Integrate LLMs such as OpenAI, Gemini, Claude, Llama and Mistral through APIs or SDKs.
- Write unit and integration tests and contribute to error handling and logging.
- Support deployment and troubleshoot issues in staging and production environments.
- Prepare datasets, metadata and embeddings using vector databases such as FAISS, Chroma, Pinecone and Weaviate.
- Support model evaluation, prompt optimization, experiment tracking and metrics related to latency, token usage, cost and accuracy.
- Assist with deploying workloads to AWS, Azure or GCP.
What You Need
- 3–10 years of experience working with Python, as stated in the detailed job description.
- Strong Python programming skills and experience with libraries or frameworks such as Pandas and LangChain.
- Hands-on experience with LangChain and LangGraph.
- Experience building APIs using FastAPI and REST APIs.
- Experience integrating large language models through APIs or SDKs.
- At least one Generative AI project deployed in a production environment.
- Experience with RAG concepts such as embeddings, chunking and retrieval.
- Ability to work in a deadline-driven environment and communicate technical issues clearly.
Preferred Qualifications
- Experience with MCP servers.
- Experience with vector databases such as FAISS, Chroma, Pinecone or Weaviate.
- Exposure to MLflow or other MLOps tools.
- Experience with AWS, Azure or GCP deployment.
Walk-In Details
- Date: October 10, 2026
- Time: 9:00 AM to 1:00 PM
- Venue: Tata Consultancy Services Limited, Deccan Park, Plot No. 1, Software Units Layout, Madhapur, Hyderabad – 500081
- Openings: 20
- Experience: 3–10 years according to the detailed description
Before You Attend
- Keep your latest resume updated with Python, LangChain, LangGraph, FastAPI, REST API and LLM experience.
- Be prepared to explain at least one GenAI project that is live in production.
- Review RAG concepts including embeddings, chunking, retrieval and vector databases.
- Be ready to discuss how you have integrated LLMs through APIs or SDKs.
- If you have MCP, cloud deployment or MLOps experience, make sure it is clearly listed on your resume.
Skills
Generative AI, Python, RAG, LLM, Agentic AI, LangChain, LangGraph, FastAPI, REST API, Artificial Intelligence, Machine Learning, Vector Databases, MCP
Job Details
Skills
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JobsInHyd does not guarantee hiring outcomes.About Tata Consultancy Services
Tata Consultancy Services is an IT services and consulting company that provides technology, consulting and business solutions to organisations worldwide.
Tata Consultancy Services is conducting a Generative AI walk-in drive in Hyderabad on October 10, 2026. The listing shows 20 openings and requires candidates with experience in Python, LLM integrations and Generative AI development.
The role focuses on building Python-based GenAI applications, APIs, RAG workflows and LLM integrations. Candidates should have experience with LangChain, LangGraph, FastAPI and REST APIs, with at least one project already deployed in production.
What You’ll Do
- Develop Python modules for data ingestion, prompt orchestration and basic tool-agent workflows.
- Build REST APIs and microservices using FastAPI or Flask to connect LLMs with enterprise data.
- Develop RAG components covering ingestion, embeddings, chunking and retrieval.
- Integrate LLMs such as OpenAI, Gemini, Claude, Llama and Mistral through APIs or SDKs.
- Write unit and integration tests and contribute to error handling and logging.
- Support deployment and troubleshoot issues in staging and production environments.
- Prepare datasets, metadata and embeddings using vector databases such as FAISS, Chroma, Pinecone and Weaviate.
- Support model evaluation, prompt optimization, experiment tracking and metrics related to latency, token usage, cost and accuracy.
- Assist with deploying workloads to AWS, Azure or GCP.
What You Need
- 3–10 years of experience working with Python, as stated in the detailed job description.
- Strong Python programming skills and experience with libraries or frameworks such as Pandas and LangChain.
- Hands-on experience with LangChain and LangGraph.
- Experience building APIs using FastAPI and REST APIs.
- Experience integrating large language models through APIs or SDKs.
- At least one Generative AI project deployed in a production environment.
- Experience with RAG concepts such as embeddings, chunking and retrieval.
- Ability to work in a deadline-driven environment and communicate technical issues clearly.
Preferred Qualifications
- Experience with MCP servers.
- Experience with vector databases such as FAISS, Chroma, Pinecone or Weaviate.
- Exposure to MLflow or other MLOps tools.
- Experience with AWS, Azure or GCP deployment.
Walk-In Details
- Date: October 10, 2026
- Time: 9:00 AM to 1:00 PM
- Venue: Tata Consultancy Services Limited, Deccan Park, Plot No. 1, Software Units Layout, Madhapur, Hyderabad – 500081
- Openings: 20
- Experience: 3–10 years according to the detailed description
Before You Attend
- Keep your latest resume updated with Python, LangChain, LangGraph, FastAPI, REST API and LLM experience.
- Be prepared to explain at least one GenAI project that is live in production.
- Review RAG concepts including embeddings, chunking, retrieval and vector databases.
- Be ready to discuss how you have integrated LLMs through APIs or SDKs.
- If you have MCP, cloud deployment or MLOps experience, make sure it is clearly listed on your resume.
Skills
Generative AI, Python, RAG, LLM, Agentic AI, LangChain, LangGraph, FastAPI, REST API, Artificial Intelligence, Machine Learning, Vector Databases, MCP
Attend the TCS Deccan Park venue between 9:00 AM and 1:00 PM on October 10, 2026. Carry an updated resume and be prepared to discuss your Python and Generative AI project experience. The supplied listing does not provide a separate contact person or additional document checklist.