AI / Python / Generative AI Engineer
Experience: 57 Years
Relevant Experience: 45 Years
Location: Hyderabad / Bengaluru / Chennai / Pune
Job Summary
We are seeking an experienced AI & Generative AI Engineer with strong Python expertise to design, develop, and deploy intelligent systems and GenAI-powered applications. The ideal candidate will work on building scalable AI solutions, integrating large language models, and delivering real-world business use cases.
Key Responsibilities
- Design, develop, and deploy AI/ML and Generative AI solutions.
- Build applications using LLMs (OpenAI, Claude, LLaMA, etc.) and frameworks such as LangChain or LlamaIndex.
- Develop and optimize Python-based pipelines for data processing and model inference.
- Fine-tune and evaluate foundation models for enterprise use cases.
- Implement Retrieval-Augmented Generation (RAG) systems.
- Deploy models using cloud platforms and containerization tools.
- Work closely with product, data science, and engineering teams.
- Ensure AI systems meet security, scalability, and compliance standards.
- Document solutions and best practices.
Required Skills & Experience
Technical Skills
- Strong proficiency in Python.
- Hands-on experience with AI / Machine Learning systems.
- Solid experience in Generative AI and LLM-based applications.
- Experience with frameworks like LangChain, LlamaIndex, Hugging Face.
- Knowledge of vector databases (Pinecone, FAISS, Milvus, Weaviate).
- API integrations and prompt engineering.
- Model evaluation, fine-tuning, and optimization techniques.
- Experience with Docker / Kubernetes is a plus.
- Exposure to AWS / Azure / GCP is preferred.
Nice to Have
- Experience working in enterprise AI projects.
- Understanding of MLOps practices.
- Knowledge of data pipelines and ETL systems.
- Prior exposure to chatbot or AI assistant development.
Education
- Bachelor's / Master's degree in Computer Science, AI, Data Science, or related fields.
Keywords for CV Screening
Python, Generative AI, GenAI, LLM, LangChain, RAG, Hugging Face, Vector DB, Pinecone, FAISS, AWS, Azure, MLOps, Prompt Engineering