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Job Description
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.
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