AI/ML Engineer

Job Summary

Sr Developer with a strong background in software engineering, a deep understanding of AI principles, and hands-on experience with the tools and frameworks necessary to create intelligent, self-directed agents.

• Works closely with Tech Owner/ Architect/external teams to come up with architecture and tech stack
• Evaluate multiple approaches and document the findings and pro and cons of each approach
• Contribute to the design discussion and research on new tech stack
• Responsible to document the integration requirements and best practices
• work with operations to set up the infrastructure based on best practices
• Build and deploy custom MCP (Model Context Protocol)
• Responsible for BOT development and integrations with other teams
• Attention to details and documents the key decisions made
• Able to mentor or guide junior developers and do code reviews
• Ability to handle fast paced projects and willing to look into production issues

Other Responsibilities:

• Document and maintain project artifacts.
• Maintain comprehensive knowledge of industry standards, methodologies, processes, and best practices
• Promptly report any known or suspected loss, theft or unauthorized disclosure or use of PI to the General Counsel/Chief Compliance Officer or Chief Information Officer.
• Safeguard the company’s assets.
• Adhere to the company’s compliance program.
• Maintain comprehensive knowledge of industry standards, methodologies, processes, and best practices.
• Maintain focus on customer-service, efficiency, quality, and growth.
• Collaborating with additional team members
• Other duties as assigned.

Minimum Qualifications and Job Requirements:

• Extensive experience with Python , Java and AI/ML libraries is required
• Experience with BoT development, Authorization frameworks like OAuth
• Technical exposure to Gen AI, LLM and developer tools (e.g., LangChain, Hugging Face, OpenAI APIs, or similar)
• Hands-on experience with cloud-native development on major cloud platforms (Azure, GCP, AWS) is essential
• Expertise in AgenticAI or similar AI agent frameworks for developing autonomous systems
• Familiarity with cloud engineering infrastructure and containerization (Kubernetes, Docker)
• Expertise in RESTful APIs, GraphQL, and microservices architecture
• Experience with noSQL databases (cosmosdb, PostgreSQL, MongoDB, etc.)
• Experience with web development - nodejs, react
• Proficiency in using vector databases and Retrieval-Augmented Generation (RAG) techniques to ground AI models with external data and prevent hallucinations
• Experience setting up custom MCP server and adding Tools/Functions
• Experience with AI-driven chatbots, recommendation systems, or intelligent automation
• Experience with databricks / jupyter notebooks
• Good to have experience with frontend frameworks (React, Angular, or Vue.js) for AI application development
• The ideal candidate will have a strong background in software engineering, a deep understanding of AI principles, and hands-on experience with the tools and frameworks necessary to create intelligent, self-directed agents
• Demonstrated technical leadership and a passion for mentoring junior team members
• Strong problem-solving skills and the ability to work independently or as part of a team