GenAI/ Agentic AI Developer-Hybrid-Full time

Role Overview

We are seeking a Senior Generative AI Engineer with strong expertise in Prompt Engineering and RAG (Retrieval-Augmented Generation). The ideal candidate will have hands-on experience building production-ready AI systems, implementing agentic workflows, and integrating GenAI capabilities into enterprise microservices environments. This role requires deep Python expertise, strong SDLC knowledge, and familiarity with DevOps and CI/CD processes.

Key Responsibilities

• Design and develop end-to-end GenAI applications using LLMs, embeddings, and vector databases.

• Build scalable RAG pipelines from scratch including ingestion, indexing, retrieval, and response generation.

• Develop Agentic AI systems using frameworks such as LangChain Agents, AutoGPT, or similar multi-agent architectures.

• Implement advanced prompt engineering strategies tailored to business use cases.

• Fine-tune and evaluate transformer-based models for performance optimization.

• Develop RESTful APIs and integrate GenAI services within microservices-based architectures.

• Implement automated testing frameworks, model validation, and evaluation datasets.

• Manage CI/CD pipelines and ensure smooth model deployment using containerized environments.

• Monitor production AI systems for latency, accuracy, and scalability.

• Follow SDLC best practices including code reviews, documentation, and version control.

Required Technical Skills

• Strong programming skills in Python (mandatory).

• Hands-on experience with LangChain, LangGraph, and Transformers.

• Experience building RAG applications using vector databases (Pinecone, Milvus, FAISS, etc.).

• Strong expertise in Prompt Engineering.

• Experience with OpenAI APIs or other LLM platforms.

• Good understanding of ML concepts (Classification, Regression, Reinforcement Learning, CNN).

• Experience with unit testing frameworks (Pytest).

• Experience with Git, JIRA, Jenkins, SonarQube.

• Experience with API design using Swagger/OpenAPI.

Good to Have

• Experience with Docker and Kubernetes.

• Knowledge of microservices architecture and service orchestration.

• Experience with infrastructure-as-code tools.

• Exposure to cloud platforms (AWS, Azure, Google Cloud Platform).

Soft Skills

• Strong analytical and debugging skills.

• Ability to work in Agile and fast-paced environments.

• Strong collaboration and communication skills.

• Ownership mindset and passion for innovation.