We are looking for an experienced AI/GenAI Engineer to design, develop, and deploy scalable AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks/workflow development. The ideal candidate should have robust Python development skills, hands-on experience with modern AI orchestration frameworks, and exposure to cloud-native AI deployments.

Key Responsibilities:

- Build and deploy GenAI applications using LLMs such as GPT, Gemini, Llama, Mistral, Claude, etc.

- Design and implement RAG pipelines using vector databases and embeddings.

- Develop AI agents and workflow orchestration using LangChain, LangGraph , CrewAI , AutoGen , or similar frameworks.

- Fine-tune, evaluate, and optimize LLM models for production use cases.

- Integrate AI services into scalable backend systems and APIs.

- Work with structured/unstructured datasets for NLP and AI workflows.





- Deploy AI solutions on cloud platforms such as Azure, AWS, or GCP.

- Build observability, monitoring, guardrails, and evaluation frameworks for GenAI systems.

- Collaborate with product, engineering, and business teams to deliver AI-driven solutions.

- Mentor junior engineers and contribute to AI architecture decisions (for senior roles).

Required Skills and Qualification :

- Experience building production-grade GenAI systems

- Exposure to multi-agent workflows

- Experience with AI observability tools

- Understanding of scalable backend architecture

- Prior work on enterprise AI products or copilots

Good to have Skills

- Experience with multi-agent AI systems and complex workflow orchestration

- Familiarity with fine-tuning techniques ( LoRA , PEFT, RLHF) for LLMs

📌 AI Developer (Mumbai)
🏢 Wissen Infotech
📍 Mumbai