Role: Gen AI Agent Developer

Experience: 6 - 10 Years

Skills: Langchain, Vector database

JD

Experience: 5-10 years of professional experience in data science, machine learning, and AI, with specific experience in NLP, LLMs, and GenAI applications.

- Education: Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics,

Mathematics, Engineering, or a related discipline.
- Programming Languages: Solid proficiency in Python is mandatory, with experience in data science

libraries like NumPy, Pandas, and Scikit-learn. Knowledge of SQL is also essential for data extraction and manipulation.
- AI/ML Frameworks: Expertise in deep learning frameworks such as PyTorch and TensorFlow. Familiarity

with Hugging Face transformers, NLTK, or SpaCy is also common.




- GenAI/NLP Specific Tools & Techniques:
- Experience with LLM frameworks like LangChain and LlamaIndex.
- Knowledge of building retrieval systems using vector databases (e.g., Pinecone, Weaviate, ChromaDB,

FAISS).
- Proficiency in NLP techniques including embeddings, topic modeling, text classification, semantic search,

and summarization.
- Cloud Platforms: Hands-on experience with major cloud computing services (AWS, Azure, GCP) for model

deployment and leveraging services like Azure OpenAI, Google Vertex AI, or AWS Bedrock.
- Problem-Solving: Strong analytical, problem-solving, and statistical skills.

📌 Gen AI Agent Developer (Chennai)
🏢 Tata Consultancy Services
📍 Chennai