Senior Analyst

Job Summary

We are looking for an experienced Team Lead - Python & Agentic AI to lead the development of AI-powered applications and multi-agent systems. The role requires strong hands-on technical expertise along with the ability to mentor, guide, and support the engineering team.

Responsibilities

• Lead the design and development of Python-based AI and backend applications.
• Design and build Agentic AI and multi-agent systems using LLMs, LangGraph, MCP, and related frameworks.
• Develop agent workflows involving tool calling, orchestration, memory, APIs, and external systems.
• Drive technical design, code reviews, coding standards, testing, and engineering best practices.
• Troubleshoot complex application and production issues and provide technical direction to the team.
• Work with DevOps teams on Docker, Kubernetes, CI/CD, deployments, monitoring, and production support.
• Mentor developers, conduct technical knowledge-sharing sessions, and help team members improve their technical skills.
• Collaborate with Product, QA, Analytics, DevOps, and other stakeholders to ensure timely and quality delivery.
• Participate in estimation, sprint planning, architecture discussions, and technical decision-making.

Required Skills & Experience

• 6-10 years of software development experience, with strong hands-on experience in Python.
• Practical experience building Agentic AI / LLM-based applications.
• Strong experience with LangGraph and MCP.
• Experience designing multi-agent architectures and agent orchestration.
• Good understanding of LLMs, prompt engineering, tool calling, RAG, and AI workflows.
• Experience with FastAPI, REST APIs, and databases such as PostgreSQL.
• Good knowledge of Docker, Kubernetes, Git, CI/CD, and cloud environments.
• Strong debugging, problem-solving, and analytical skills.
• Good understanding of Agile and SDLC practices.
• Strong communication, leadership, mentoring, and stakeholder-management skills.

Good to Have

• Experience with LangChain, Langfuse/LangSmith, vector databases, and AI evaluation.
• Experience with AWS, Azure, or GCP.
• Experience with enterprise SaaS or analytics applications.
• Knowledge of application security, authentication, and authorization.

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.