Description :

Location - PAN India.

Years of experience - 15+.

Key Responsibilities :

- Architect and develop scalable Generative AI applications leveraging LLMs (e.g., GPT, Claude, LLaMA) and multimodal models.

- Design and implement agentic AI frameworks for autonomous task execution, reasoning, and orchestration.

- Build AI pipelines for fine-tuning, prompt engineering, and retrieval-augmented generation (RAG).

- Develop microservices and APIs to integrate AI agents into enterprise workflows.

- Implement MLOps/LLMOps for LLMs, including model deployment, monitoring, and versioning.

- Optimize performance for high-concurrency, low-latency AI systems.

- Ensure ethical AI practices, security, and compliance in all deployments.

- Stay ahead of emerging trends in Generative AI, multi-agent systems, and AI governance.

Required Skills & Experience :

- Strong programming skills in Python (FastAPI, LangChain) and Node.js.

- Hands-on experience with LLM frameworks (LangChain, Haystack, Hugging Face Transformers).

- Expertise in agentic AI platforms (AutoGen, CrewAI, OpenAI Agents).

- Familiarity with vector databases (Pinecone, Weaviate, FAISS) for RAG.

- Cloud deployment experience on AWS/GCP/Azure, including GPU orchestration.

- Knowledge of containerization and orchestration (Docker, Kubernetes).

- Understanding of AI safety, bias mitigation, and responsible AI principles.