Generative AI Engineer

Key Requirements:

- Build & Configure GenAI-based solutions (chatbots, copilots, content generators).

- Integrate AI capabilities (NLP, CV, RAG, LLM APIs) into enterprise applications.

- Construct tool-using multi-agent systems using LangChain, AutoGen, or LangGraph.

- Fine-tune LLMs and configure prompt workflows tailored to business contexts.

- Implement inference pipelines for real-time predictions or decision automation.

- Develop feedback loops and self-improving logic (online learning, meta-learning).

- Enable tool orchestration, memory management, and long-context reasoning in agents.

- Collaborate with product and UI teams to bring AI features into user-facing apps.

Prerequisites

-Primary Programming : Strong Python

-Secondary Programming : Java , C++, NodeJs

-ML Concepts

-REST APIs , Integration MQTT, Kafka

-Version Control

Must Have

- Deep Learning Frameworks (PyTorch, Tensorflow)

- Generative AI Development : ( LLM APIs, Prompt Engineering, RAG )

- Multi-Agent Frameworks (AutoGen, LangGrapha) & Protocols

- Tool Integration (Memory, APIs)

- Kubernetes/Docker for Deployment

- Cloud Platforms(IBM/AWS/GCP/Azure)