Lead AI Developer

Experience- 5+ Years in AI/ML

Location- Pune

Work Mode- Hybrid

Lead AI Developer

Key Responsibilities-

• Lead the end-to-end development of

  conversational AI and GenAI applications

  using platforms such as

  OpenAI, Azure OpenAI, Anthropic, Google Vertex AI, or similar LLM frameworks

  .
• Architect, train, fine-tune, and deploy

  large language models (LLMs)

  and

  GenAI systems

  , including text generation, summarization, RAG (Retrieval-Augmented Generation), embeddings, and intelligent assistants.
• Integrate LLMs and GenAI-driven components with enterprise systems, web applications, APIs, and messaging platforms.
• Design and implement

  dialogue management and context-handling strategies

  for accurate intent recognition and response generation.
• Guide the team in building efficient

  data pipelines, vector databases, prompt workflows, and scalable model deployment

  solutions.
• Perform continuous evaluation, testing, and optimization of AI/LLM performance, ensuring accuracy, latency reduction, and improved user experience.
• Analyse user interactions, system outputs, and feedback to drive iterative enhancements and feature improvements.
• Stay updated with advancements in

  Generative AI, LLMs, prompt engineering, multimodal AI, and NLP technologies

  to drive innovation and technical strategy within the team.

Technical Skills Required-

• Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related fields.
• Strong programming experience in

  Python, C#, Java, or JavaScript

  .
• 5+ Years of Hands-on experience with

  AI/ML/NLP techniques

  , including text analytics, sentiment analysis, entity recognition, translation, and chatbot development.
• Practical exposure to

  GenAI technologies

  , including:
• LLM fine-tuning, prompt engineering, embeddings
• RAG pipelines, vector stores (FAISS, Pinecone, ChromaDB, Elasticsearch)
• Model orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel)
• Strong understanding of

  web technologies, API development, microservices, and system integration

  .
• Proficiency in relational databases and SQL.
• Excellent analytical and problem-solving skills, with the ability to lead complex technical initiatives.
• Strong communication and collaboration abilities essential for leading cross-functional discussions.
• Ability to thrive in a fast-paced, dynamic environment.

Preferred Additional Skills-

• Experience with

  transfer learning, deep learning algorithms, neural networks

  , and hybrid ML architectures.
• Proficiency with

  version control systems (Git)

  and CI/CD pipelines.
• Solid understanding of

  software engineering principles, SDLC, and agile methodologies

  .
• Experience deploying AI/ML/GenAI applications on

  AWS, Azure, or Google Cloud

  .
• Proven experience building and deploying

  chatbot systems using ChatGPT, GPT-4/4o, or similar GenAI frameworks

  .
• Experience with

  model monitoring, observability, and AI governance frameworks

  is an added advantage.