Senior AI/LLM Engineer – Agentic Systems

DATAMAXIS, Inc

full-time

Posted on: 9/24/2025

Origin: • 🇺🇸 United States

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Senior

AngularAWSAzureCloudDockerGoogle Cloud PlatformGraphQLJavaJavaScriptKubernetesMicroservicesMongoDBNode.jsNoSQLPostgresPythonReactVue.js

About the role

Collaborate with Technical Owners, Architects, and external teams to design architecture and define 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
Mentor and guide junior developers, conducting regular code reviews
Troubleshoot and resolve production issues in a fast-paced environment
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

Experience: 9+ Years
Strong experience with Python and Java
Hands-on experience with AI/ML libraries and frameworks
Proven experience in chatbot design and development
Knowledge of OAuth and related standards
Practical exposure to LangChain, Hugging Face, OpenAI APIs, or similar frameworks
Expertise in Agentic AI or equivalent autonomous agent frameworks
Strong hands-on experience in Azure, GCP, or AWS for cloud-native development
Familiarity with Kubernetes, Docker, and cloud engineering best practices
Proficiency in RESTful APIs, GraphQL, and microservices architecture
Experience with NoSQL (CosmosDB, MongoDB, PostgreSQL, etc.)
Working knowledge of Node.js and React; good-to-have skills in Angular or Vue.js
Strong experience grounding AI models with vector databases and Retrieval-Augmented Generation (RAG) techniques
Experience in setting up MCP servers and adding tools/functions
Background in developing AI-driven chatbots, recommendation systems, or intelligent automation
Experience with Databricks, Jupyter Notebooks
Demonstrated technical leadership and mentoring experience
Strong analytical and problem-solving skills