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 contemporary 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

Valuable 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 (India)
🏢 Wissen Infotech
📍 India