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Technical Lead

Technical Lead

Movatebangalore, karnataka, in
1 day ago
Job description

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

  • 6–8 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 .
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