AI Lead Engineer

Job Requirements
 

• Design, develop, and deploy intelligent AI agents using LLMs (e.g., GPT-4, Claude, Mistral, LLaMA).
• Integrate AI agents with external tools, APIs, databases, and user interfaces (tool use / function calling).
• Build autonomous workflows for document processing, knowledge retrieval (RAG), decision making, and user interaction.
• Develop model/network architecture for computer vision problems.
• Contribute to all phases of the software development lifecycle.
• Work with other team members to develop/maintain products.
• Take ownership of new feature development, bug fixes, and enhancement activities.
• Mentor and guide junior engineers while promoting knowledge sharing within the team.
• Communicate effectively with internal and external stakeholders.

Work Experience
 

Required Skills (Technical Competency):

• Strong understanding of ML/DL concepts: CNN, LSTM, FCN, classification, regression and clustering 
• Ability to develop robust DL/ML models in Python, MATLAB etc.
• Background in cloud infrastructure (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes). 
• Experience with standard DL tools and libraries like  TensorFlow, PyTorch, etc.
• Hands-on experience with LLMs and AI APIs (OpenAI, Anthropic, Meta etc).
• Deep understanding of prompt engineering, tool use/function calling, agents, and autonomous reasoning.
• Proficient in Python and modern AI frameworks (LangChain, LlamaIndex etc).
• Familiarity with vector databases (e.g., FAISS, Pinecone), and embedding models.
• Analytical, problem solving and debugging skills.
• Ability to explore/evaluate alternative solutions and/or workarounds.
• Good verbal and oral communication skills in English

Desired Skills:

• C++/C#/.Net programming skills are desirable.
• Experience in building process and tools.
• Experience of version control tools.
• Experience in scripting.
• Experience in using bug tracking tools