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.