AI Developer

WittKieffer

AI Developer transforming business processes through AI technologies. Collaborating to create AI-powered agents, automations, and workflows within the Quality of Life ecosystem.

Posted 4/23/2026full-timeOak Brook • Illinois • 🇺🇸 United StatesMid-LevelSenior💰 $96,000 - $120,000 per yearWebsite

Tech Stack

Tools & technologies

AzureSQL

About the role

Key responsibilities & impact

Build and maintain hands-on expertise in AI capabilities by prototyping agents, automations, and AI‑first workflows using modern frameworks, models, and developer tools.
Design, build, test, and refine AI solutions in code (prompts, agents, RAG workflows, models and MCP integrations) and package them into reusable components and services.
Rapidly iterate from idea to working prototype to deployable solution, running experiment cycles end-to-end: define hypotheses, implement prototypes, create evaluation datasets, measure quality/cost/latency, and iterate using repeatable testing and dashboards.
Perform technical and process discovery (data access, API/system constraints, security/privacy, and operational workflows) and recommend practical designs that are feasible to implement and support.
Assist in with production readiness, including CI/CD pipelines, secure code approach and practices, compliance and risk review, monitoring, and runbooks.
Create clear documentation (architecture, setup, prompt/agent specs, evaluation approach) and enablement materials to support adoption, maintenance, and handoff.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
Foundational software engineering skills and API integration experience.
Familiarity with and initial training with AI agents, prompts, RAG, and workflow orchestration.
Working knowledge of data access and integration (SQL, APIs, Graph, MCP, data pipelines)
Working knowledge of agents, registration/registries, and orchestration platforms.
Familiarity with MLOps/LLMOps practices (model/prompt versioning, experiment tracking, offline/online evaluation, monitoring for drift/quality) is a plus.
Ability to use existing tools to their fullest potential, while recommending and advocating for proper tooling for future growth and potential.
Exposure to enterprise AI approaches and platforms a plus: Microsoft Azure, Foundry, Agent Framework, Fabric, CoPilot Studio, and GitHub Actions, utilizing Open standards and Interoperability (MCP, A2A, etc.).
Exposure to modern development practices (version control, code reviews, unit/integration testing, packaging, and documentation).
Exposure to building and integrating generative and agentic AI solutions (LLM APIs/SDKs, prompt/agent frameworks, and retrieval-augmented generation with vector search).
Ability to take experiments to delivery: deploy services/apps, build CI/CD pipelines, and implement observability (logging/metrics/tracing) plus cost/latency controls.

Benefits

Comp & perks

medical
dental
vision
401(k)
life and disability insurances
generous paid time off

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI solutionsAPI integrationSQLdata pipelinesMLOpsexperiment trackingversion controlunit testingintegration testinggenerative AI

Soft Skills

problem-solvingcommunicationdocumentationcollaborationadaptabilitycritical thinkingcreativityattention to detailanalytical skillsproject management

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Data ScienceBachelor's degree in Engineering