Senior AI/LLM Engineer – Agentic Systems

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 and React; good-to-have skills in Angular or
• 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.