- Experience: 6 – 10 years
- Qualification: Bachelor’s degree in computer science, computer engineering, IT, Data Science
- Location: Pune or Remote India only
Key Responsibilities:
- Design, develop, and implement Agentic AI systems capable of autonomous decision-making and task execution.
- Build and optimize AI/ML models leveraging LLMs, NLP, and advanced AI techniques.
- Develop AI-driven applications using RAG (Retrieval-Augmented Generation) and agent-based frameworks.
- Integrate LLMs into enterprise applications and workflows.
- Monitor team performance, track deliverables, and ensure adherence to timelines and quality standards.
- Provide technical leadership, guidance, and hands-on support to team members.
- Conduct regular team coaching and mentoring sessions to enhance team capability and performance.
- Collaborate with cross-functional teams including Product, Engineering, and Business stakeholders.
- Drive best practices in AI development, model lifecycle management, and governance.
- Identify risks, troubleshoot technical challenges, and ensure smooth project execution.
Required Skills & Qualifications:
- 2+ years of hands-on experience in AI application development, including:
- Agentic AI systems
- RAG (Retrieval-Augmented Generation)
- Tools & LLM-based applications
- Strong programming skills in Python with experience in HTTP/REST APIs.
- Hands-on experience with AI agent frameworks such as LangChain, LangGraph, or similar.
- Experience in LLM integration and prompt engineering.
- Experience working with vector databases such as Qdrant, Chroma.
- Exposure to Knowledge Graphs (e.g., Neo4j).
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Strong experience in ML/DL model development, including training, fine-tuning, and evaluation.
- Proven experience in team monitoring, performance tracking, and delivery management.
- Demonstrated ability in mentoring, coaching, and leading engineering teams.
- Strong analytical, problem-solving, and communication skills.
