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DATAMAXIS, Inc

Senior AI/LLM Engineer – Agentic Systems

Posted 15 Days Ago
Be an Early Applicant
India
Expert/Leader
India
Expert/Leader
The role involves designing AI-driven solutions, collaborating on technology stacks, mentoring junior developers, and troubleshooting production issues.
The summary above was generated by AI

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.

Top Skills

Ai/Ml Libraries
AWS
Azure
Cosmosdb
Docker
GCP
GraphQL
Hugging Face
Java
Kubernetes
Langchain
MongoDB
Node.js
NoSQL
Openai Apis
Postgres
Python
React
Restful Apis

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