We are looking for a highly skilled Generative AI Lead to design, build, and scale next-generation AI-powered applications. The ideal candidate will have deep expertise in LLMs, RAG architectures, and agent-based systems, along with strong backend engineering skills in Python and cloud-native development. You will lead the development of scalable AI solutions, mentor teams, and drive innovation using cutting-edge GenAI technologies.

Key Responsibilities :

- Design and develop LLM-powered applications using modern frameworks and tools

- Build and optimize Retrieval-Augmented Generation (RAG) pipelines

- Work with embeddings, vector databases, and semantic search systems Fine-tune prompts and models for performance, accuracy, and cost optimization

- Build and deploy intelligent agents using frameworks such as : LangChain / LangGraph ReAct architecture OpenAI Assistants or custom agent frameworks

- Develop multi-agent workflows and orchestration systems

- Develop scalable backend services using Python (Flask, FastAPI, async programming)

- Build and maintain REST APIs and microservices architectures

- Implement event-driven systems for real-time AI applications

- Architect and deploy solutions on AWS Cloud (Lambda, ECS, EKS, S3, API Gateway, etc.)

- Ensure high availability, scalability, and security of AI systems

- Work with Docker containers and orchestration tools

- Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus)

- Implement efficient indexing and retrieval mechanisms Handle large-scale unstructured data pipelines

- Build and maintain CI/CD pipelines using GitHub Actions / GitLab CI

- Automate deployments and ensure smooth release cycles

- Monitor performance and troubleshoot production issues

- Lead a team of engineers and provide technical mentorship

- Collaborate with product, data, and business teams to define AI use cases Stay updated with the latest trends in Generative AI and LLM ecosystems.

Required Skills & Qualifications :

Technical Skills :

- Strong proficiency in Python (Flask/FastAPI, async programming)

- Hands-on experience with LLMs and Generative AI applications

- Deep expertise in : RAG pipelines Embeddings & semantic search Vector databases

- Experience with agent frameworks (LangChain, LangGraph, ReAct, etc.)

- Strong understanding of AWS cloud architecture Experience with microservices, REST APIs, and event-driven systems

- Familiarity with Docker, CI/CD pipelines, GitHub/GitLab

- Experience with LLM fine-tuning or model optimization

- Knowledge of prompt engineering best practices Exposure to real-time AI systems or conversational AI

- Strong problem-solving and analytical thinking

- Excellent communication and stakeholder management

- Ability to lead projects end-to-end Opportunity to work on cutting-edge Generative AI products High-impact role with ownership and leadership exposure

- Collaborative and innovation-driven environment