Lead AIML Engineer

5 days ago

Bengaluru Chennai Hyderabad, India Kaya Global Full time ₹ 12,00,000 - ₹ 24,00,000 per year

We are seeking a seasoned Lead AIML Engineer with extensive experience in cutting-edge Generative AI, especially AI Agents, Agentic Workflows , Retrieval Augmented Generation (RAG), and advanced Language Model (SLM/LLM) implementations. In this role, you will lead the design, development, and deployment of next-generation AI-powered systems that leverage small and large language models, multi-agent frameworks, and complex contextual embeddings. Your expertise will influence not only technical decisions but also product strategy and innovation, guiding a small team to deliver robust, scalable solutions.

Skills:

P1 (must to have Skills)

Generative AI Expertise/ AI Agents, Agentic Workflows/ RAG/ Prompt Engineering / Advanced Python Programming / LangChain / LangGraph not an expects / Vector Databases

P2(nice to have Skills)

FastAPI, NodeJS / Intuitive UI/UX Design: Either React at a beginner to intermediate level only, LlamaIndex / Integration of SLM/LLMs

Required Skills

  • Generative AI Expertise: Advanced knowledge in AI Agents, Agentic Workflows, Retrieval-Augmented Generation (RAG), and Prompt Engineering.
  • Advanced Python Programming: Proficiency in Python, particularly for AI-driven applications, with experience in frameworks like LangChain and LangGraph.
  • Vector Databases: Strong skills in managing and utilizing vector databases for AI solutions.
  • FastAPI & NodeJS: Experience in building backend services using FastAPI or NodeJS.
  • UI/UX Design: Ability to design and implement intuitive user interfaces, with beginner to intermediate proficiency in React.
  • LlamaIndex & SLM/LLM Integration: Familiarity with LlamaIndex and expertise in integrating System Language Models/Large Language Models into applications.

Preferred Education and Experience:

  • Minimum Bachelors degree in Computer Science, Engineering, or a related field.
  • At least 5 years in full-stack development with a focus on AI.
  • Proven track record leading small engineering teams and delivering complex AI-driven products.
  • Direct client-facing experience, from requirements gathering to final delivery.

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