GenAI / NLP Engineer

AIToolboard; Chicago (IL); Hybrid; USD 96,432 - 151,536; Full time

Job summary

PY DATA, INC. in Chicago, IL is seeking a GenAI / NLP Engineer to help build a scalable, cloud-based multi-agent platform for Network Planning.

The role is hybrid, onsite 2–3 days per week with a 15-month contracting term, and involves delivering AI-powered insights, diagnostics, and automated reporting. You will design the supervisory chatbot, modular AI agents, and ensure governance, security, and traceability across the GenAI stack while collaborating with the MARS platform, Cloud

Qualifications

• Experience architecting GenAI and NLP applications, using multi-agent patterns.
• Hands-on experience integrating LLMs into production enterprise environments.
• Proficiency in Python; Julia experience preferred.
• Experience with enterprise AI/ML platforms (non-greenfield builds).
• Strong problem-solving and ability to work independently in ambiguous environments.

Responsibilities

• Design and build end-to-end multi-agent GenAI architecture integrated with enterprise AI tooling.
• Develop a supervisory/orchestrator chatbot routing requests to specialized agents.
• Design modular AI agents to support evolving business use cases.
• Ensure traceability, accuracy, and governance aligned with Responsible AI standards.
• Collaborate with Network Planning, Cloud Engineering, and Security teams.

Skills

GenAI architecture

Multi-agent systems

Python

Julia

Enterprise AI/ML platforms

AWS

Problem solving

Tools

MARS platform

AWS

Job description

/GenAI / NLP Engineer# GenAI / NLP EngineerPY DATA, INC.Chicago, USContractor## About the RoleGenAI / NLP Engineer MultiAgent AI Platforms (Network Planning)Hybrid Chicago, IL onsite 2 3 days per week (approximately 5 6 days per month minimum)15 months contract +OverviewClient s Network Planning team within the Commercial Systems portfolio is launching a GenAI Enablement Initiative to enhance decision support, insight generation, and usability of planning data and models. This role will support the design and delivery of a scalable, cloud-based multi-agent GenAI platform integrated with client s enterprise AI/ML ecosystem (MARS).The successful candidate will contribute to building a supervisory chatbot and specialized AI agents that deliver insights, diagnostics, workflow guidance, and automated reporting for Network Planning stakeholders. This is a net-new role supporting a growing GenAI capability.Key ResponsibilitiesGenAI Platform & Architecture• Design and build an end-to-end, multi-agent GenAI architecture integrated with client s MARS platform, enterprise GenAI tooling, and existing ML infrastructure.• Develop a supervisory/orchestrator chatbot that routes user requests to specialized downstream agents.• Design modular, extensible AI agents to support evolving business use cases.• Ensure response traceability, accuracy, and adherence to Responsible AI, security, and governance standards.• Collaborate closely with Network Planning, MARS platform, Cloud Engineering, and Security teams.Required Skills & ExperienceMust-Haves• Experience architecting and building GenAI and NLP applications, ideally using multi-agent or agent-orchestrated patterns.• Hands-on experience integrating LLMs and GenAI solutions into production enterprise environments.• Proficiency in Python; Julia experience strongly preferred (or willingness to ramp quickly).• Experience working with existing enterprise AI/ML platforms (non-greenfield builds).• Strong problem-solving skills with the ability to work independently in ambiguous environments.Nice to Have• Background in machine learning or ML-driven applications.• Experience with cloud-based architectures (AWS preferred).• Familiarity with model diagnostics, explainability, or decision-support systems.Soft Skills & Expectations• Highly independent, driven, and proactive.• Strong communication skills, particularly the ability to explain GenAI concepts and outputs to non-technical stakeholders.• For senior candidates: serve as the primary GenAI thought leader, guiding design decisions and mentoring less experienced team members.### Apply for this PositionFill out the form below to apply for this roleLocationChicago, US