AI Developer

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 strong 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