AI/ML Engineer

Company: Numeric Technologies

Company Website:https://numerictech.com

Type: Permanent with Numeric Technologies

Numeric, incorporated in 1996 is a worldwide Business & Information Technology, Consultingand Services company. Headquartered in Chicago, IL with additional offices in Miami, Silicon Valley, Luxembourg, UK as well as delivery centers in India (Bengaluru,Hyderabad,Chennai) to serve our customers on offshore needs.We at Numeric Technologies pride ourselves for providing our customers with the best services and solutions. We believe that the right people in the right time and the right position are the key to our company’s improvement; we continue to endeavor and develop our company through our corporate culture and values.

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Job Summary

Responsibilities:

• Design and implement Multi-Agentic GenAI systems to solve regulatory and compliance workflows for global trade.

• Assess and recommend the right architecture, tools, and frameworks, ensuring modularity, scalability, and maintainability.

• Integrate with a mix of open-source and cloud-based agentic orchestration stacks such as:

o LangChain, LangGraph, Autogen, Flowable, N8N, AWS Strands, AWS Bedrock, etc.

• Lead the development of production-ready agent workflows that interface with legal policies, classification engines, third-party compliance data, and case management systems.

• Collaborate with U.S.-based business and technical stakeholders to define problem scope, user personas, and use cases.

• Work on LLM evaluations, prompt engineering, embedding-based retrieval, and tool-augmented agent behavior.

• Integrate with enterprise systems (APIs, data layers, UI components) to support human-in-the-loop decision-making.

• Drive rapid prototyping, POCs, and iterative delivery while ensuring testability and traceability of GenAI behavior.

• Ensure all systems comply with Autodesk’s standards for security, data protection, auditability, and compliance.

• Participate in technical reviews, provide mentorship, and document technical decisions.

Qualifications:

• 5+ years of software engineering experience with a strong focus on Python and modern software design principles.

• Hands-on experience building Multi-Agentic systems using frameworks like LangChain, LangGraph, AutoGen, AWS Strands, Flowable, and N8N.

• Solid understanding of Generative AI techniques, including LLMs, embeddings, prompt engineering, and retrieval-augmented generation (RAG).

• Strong grasp of Model Context Protocol (MCP) and Agent-to-Agent (A2A) orchestration strategies for scalable, tool-augmented agent workflows.

• Experience integrating with vector databases (e.g., FAISS, Weaviate, Pinecone) and using OpenAI or AWS Bedrock APIs.

• Knowledge of cloud-native architecture, event-driven microservices, and AWS AI/ML services (e.g., SageMaker, Lambda, Step Functions).

• Background in legal, risk, or trade compliance domains is a strong plus.

• Ability to work effectively with distributed teams and adjust to U.S. West Coast working hours.

• Excellent communication skills and experience collaborating with business users, domain experts, and enterprise architects