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Job Title: Senior AI/LLM Engineer – Agentic Systems
Experience: 9+ Years
Location: Remote
Job Summary: We are seeking a highly skilled Senior Developer with a strong background in software engineering, deep expertise in AI principles, and hands-on experience in building intelligent, self-directed AI agents. The ideal candidate will be passionate about emerging technologies, demonstrate technical leadership, and contribute to the design, development, and deployment of advanced AI-driven solutions.
Essential Job Functions
- Collaborate closely with Technical Owners, Architects, and external teams to design architecture and define the technology stack.
- Evaluate multiple technical approaches, document findings, and highlight pros and cons.
- Contribute to design discussions, technical research, and adoption of new technologies.
- Define and document integration requirements and establish best practices.
- Work with operations teams to set up infrastructure following cloud and industry best practices.
- Build and deploy custom MCP (Model Context Protocol) implementations.
- Lead the development of AI-driven Bots and integrations with cross-functional teams.
- Maintain attention to detail and document key technical decisions.
- Mentor and guide junior developers, conducting regular code reviews.
- Troubleshoot and resolve production issues in a fast-paced environment.
Minimum Qualifications & Job Requirements
- Programming Expertise: Strong experience with Python and Java.
- AI/ML Expertise: Hands-on experience with AI/ML libraries and frameworks.
- Bot Development: Proven experience in chatbot design and development.
- Authorization Frameworks: Knowledge of OAuth and related standards.
- GenAI & LLM Tools: Practical exposure to LangChain, Hugging Face, OpenAI APIs, or similar frameworks.
- AI Agent Frameworks: Expertise in Agentic AI or equivalent autonomous agent frameworks.
- Cloud Platforms: Strong hands-on experience in Azure, GCP, or AWS for cloud-native development.
- Cloud Infrastructure: Familiarity with Kubernetes, Docker, and cloud engineering best practices.
- APIs & Microservices: Proficiency in RESTful APIs, GraphQL, and microservices architecture.
- Databases: Experience with NoSQL (CosmosDB, MongoDB, PostgreSQL, etc.).
- Web Development: Working knowledge of Node.js and React; good-to-have skills in Angular or Vue.js.
- Vector Databases & RAG: Strong experience grounding AI models with vector databases and Retrieval-Augmented Generation (RAG) techniques.
- Custom MCP: Experience in setting up MCP servers and adding tools/functions.
- AI Use Cases: Background in developing AI-driven chatbots, recommendation systems, or intelligent automation.
- Data Platforms: Experience with Databricks, Jupyter Notebooks.
- Leadership: Demonstrated technical leadership, ability to mentor junior team members, and a passion for knowledge sharing.
- Problem-Solving: Strong analytical skills, ability to work independently and within a team.
Other Responsibilities
- Document and maintain project artifacts for long-term reference.
- Maintain up-to-date knowledge of industry standards, methodologies, and best practices.
- Safeguard company assets and comply with organizational security and compliance programs.
- Promptly report suspected loss, theft, or unauthorized use of personal information (PI).
- Maintain focus on customer service, efficiency, quality, and growth.
- Collaborate with additional team members to ensure project success.
- Perform other duties as assigned.
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
