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.    
 
                    
                    
Required Skill Profession
 
                     
                    
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