Agentic AI/Python Engineer

• We are seeking a Senior Agentic AI Engineer to join a technology-focused team building and enhancing next-generation AI agents and Generative AI solutions.
• This is a hands-on engineering opportunity for someone who is passionate about emerging AI technologies and wants to work on production-grade Agentic AI applications. The team is actively moving AI agents into production and will continue developing new agents while enhancing existing solutions.
• The ideal candidate is a strong Python engineer with deep hands-on experience in Agentic AI, LLMs, RAG, vector technologies, and AI guardrails.

Key Responsibilities

• Design, develop, and deploy production-ready AI agents and Agentic AI workflows.
• Build new agents and continuously enhance existing agents based on business and technical requirements.
• Develop LLM-powered applications using RAG, vector search, embeddings, and related technologies.
• Build agent workflows that can interact with tools, APIs, databases, and other enterprise systems.
• Implement guardrails, validation, and controls to improve the reliability, safety, and accuracy of AI agents.
• Evaluate and improve agent responses, workflows, retrieval quality, and overall system performance.
• Work with MongoDB and vector-based data architectures.
• Review, validate, test, and improve AI-generated code and outputs to ensure they meet software engineering and quality standards.
• Collaborate with engineering and business teams to translate requirements into scalable AI solutions.
• Troubleshoot, optimize, and productionize existing Agentic AI applications.
• Stay current with emerging AI tools, frameworks, models, and development practices.

• 5+ years of professional Python development experience.
• 2+ years of hands-on Agentic AI / AI Agent development experience.
• Strong understanding of Generative AI and Large Language Models (LLMs).
• Strong hands-on experience developing RAG (Retrieval-Augmented Generation) solutions.
• Experience with vector databases, vector search, embeddings, and semantic retrieval.
• Strong experience with MongoDB.
• Experience designing and implementing AI agent guardrails and validation mechanisms.
• Strong software engineering fundamentals, including API development, testing, debugging, code review, and production deployment.
• Demonstrated experience building or enhancing AI agents, preferably in a production environment., * Experience with Agentic AI frameworks such as:
• Lang-Graph
• Lang-Chain
• CrewAI
• AutoGen
• Semantic Kernel
• Experience with multi-agent architectures, tool/function calling, agent memory, and orchestration.
• Experience with AI coding/development tools and AI-generated code validation.
• Experience with Cloud.
• Experience with MongoDB Atlas / MongoDB Vector Search.
• Experience with AI evaluation, observability, prompt management, or LLM monitoring.
• Financial services or banking industry experience is a plus., * We are looking for someone who is a strong software engineer first and an AI/Agentic AI engineer second.
• The ideal candidate will have demonstrated experience taking Agentic AI concepts beyond experimentation and into real-world, production-ready applications. You should be comfortable working with rapidly evolving AI technologies, evaluating new AI tools, and building reliable solutions around LLMs and AI agents.
• Candidates with only basic ChatGPT/OpenAI API integration, prompt engineering, or traditional Machine Learning experience without substantial Agentic AI development experience will not be the target profile.

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually as applicable.