Technical Lead

Key Responsibilities

• Technical Leadership

• Lead design, architecture, and development of AI-driven applications using

  GenAI and Agentic AI frameworks

  .
• Mentor and guide a team of developers, ensuring high-quality code and best practices.
• Collaborate with product managers, data scientists, and stakeholders to define technical roadmaps.

• AI/ML Development

• Design, develop, and implement

  ML/DL models

  for predictive analytics, NLP, computer vision, and generative AI use cases.

• AI/ML Frameworks

  : TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers
• Build and integrate

  LLMs, GenAI models, and agent-based AI workflows

  into enterprise solutions.
• Fine-tune, prompt-engineer, and optimize LLMs (OpenAI, Anthropic, Llama, etc.) for business use cases.
• Design and implement

  multi-agent orchestration systems

  for intelligent automation.

• Fullstack Development

• Develop scalable web applications using

  React.js / Angular / Vue.js

  (frontend) and

  Python (Django / Flask / FastAPI / Node.js)

  (backend).
• Integrate AI/ML APIs, microservices, and databases (SQL & NoSQL).
• Ensure security, scalability, and performance of deployed applications.

• Cloud & MLOps

• Deploy and manage AI applications on

  AWS / Azure / GCP

  .
• Implement CI/CD, containerization (Docker, Kubernetes), and model deployment pipelines.
• Monitor and optimize model performance in production.

Required Skills & Experience

• 68 years

  of experience in

  Fullstack Development & AI/ML Engineering

  .
• Strong expertise in

  Python

  and one backend framework (Flask, FastAPI, Django).
• Hands-on experience with

  GenAI frameworks

  (LangChain, LlamaIndex, Semantic Kernel, etc.).
• Experience in

  Agentic AI

  development (multi-agent orchestration, reasoning engines, autonomous agents).
• Proficiency in

  Frontend frameworks

  (React.js preferred).
• Strong knowledge of

  databases

  (MySQL, MongoDB, PostgreSQL).
• Cloud deployment experience (AWS, Azure, or GCP).
• Familiarity with

  vector databases

  (Pinecone, Weaviate, FAISS, ChromaDB).
• Experience with

  APIs, microservices, and event-driven architectures

  .
• Proven experience in

  leading teams, code reviews, and technical decision-making

  .