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Agentic Ai Developer Jobs in Chicago, IL (NOW HIRING)

Detailed - Skill Set: • Lead the design and delivery of the agentic AI platform and prioritized ... Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field.

AI Platform Engineer Job Location: Hybrid (3 days onsite, 2 days remote), Chicago, IL Travel ... Hands-on experience building and deploying production-grade AI/LLM or Agentic AI solutions.

AI Engineer

Chicago, IL · On-site

$120K - $130K/yr

Must Have Technical/Functional Skills Data science; statistical modeling; machine learning; generative AI; agentic AI; NLP; LLMs; prompt engineering; RAG; autonomous decision frameworks; Python/R/SQL ...

Staff DevOps Engineer

Chicago, IL · On-site

$54.25 - $74.50/hr

Architect and integrate agentic AI workflows (autonomous agents, LLM-driven automation, AI copilots) into DevOps and platform operations - such as automated incident triage, self-healing ...

Staff DevOps Engineer

Chicago, IL · On-site

$54.25 - $74.50/hr

... DevOps, or Jenkins). * Deep understanding of distributed systems, containerization, and ... Nice to have Hands-on experience building or integrating agentic AI systems, LLM-powered operations ...

Senior AI Engineer

Chicago, IL · On-site

$126K - $166K/yr

Design, build, andmaintain agentic AI pipelines (using Google ADK or similar frameworks ) to ... Engineer LLM poweredservices for schema understanding, semantic alignment, ontology enrichment ...

You will design, build, and support AI-powered applications, intelligent automation solutions, agentic workflows, and reusable AI engineering capabilities that accelerate Vizient's AI Factory ...

Senior Engineer, AI

North Chicago, IL · On-site

$100K - $138K/yr

Conceive, design, engineer, and implement ML and AI solutions by studying information needs ... Contribute to agentic workflows, tool use, and orchestration patterns. * Select and integrate AWS ...

Conceive, design, engineer, and implement ML and AI solutions by studying information needs ... Contribute to agentic workflows, tool use, and orchestration patterns. * Select and integrate AWS ...

Showing results 41-60

Agentic Ai Developer information

See Chicago, IL salary details

$19

$46

$104

How much do agentic ai developer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for agentic ai developer in Chicago, IL is $46.69, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $56.49 per hour, depending on experience, location, and employer.

Is agentic AI developer a good career?

Agentic AI developer is a specialized role focused on creating autonomous and adaptive AI systems, often requiring skills in machine learning, programming, and systems design. It is a growing field with increasing demand as AI technology advances, offering opportunities in research, development, and industry applications.

What does an agentic AI developer do?

An agentic AI developer designs and builds autonomous AI systems capable of making decisions and taking actions independently. They work with machine learning models, reinforcement learning, and AI frameworks to create systems that can adapt and operate in dynamic environments, often requiring programming skills in languages like Python and knowledge of AI ethics and safety. Their role involves testing, deploying, and refining AI agents to ensure reliable and ethical performance.

What cities near Chicago, IL are hiring for Agentic Ai Developer jobs?

Cities near Chicago, IL with the most Agentic Ai Developer job openings:

Infographic showing various Agentic Ai Developer job openings in Chicago, IL as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $97,039 per year, or $46.7 per hour.

Contractor

Posted 11 days ago


Job description

Detailed job description - Skill Set:
• Lead the design and delivery of the agentic AI platform and prioritized agent roadmap for S2 2026, ensuring alignment with the committed portfolio, enterprise architecture standards, and measurable business outcomes
• Conduct a comprehensive assessment of the current Launch application enhancement backlog and identify opportunities where AI agents, automation, or generative AI capabilities can deliver significant productivity, quality, or user-experience improvements
• Partner closely with Launch Digital stakeholders, business SMEs, and technical teams to define, develop, and deploy AI-enabled solutions that address business needs and deliver measurable operational efficiencies
• Collaborate with the Infosys Launch ecosystem development team to evaluate existing application functionality, identify opportunities for rationalization or retirement enabled by new AI capabilities, and develop recommendations supported by business value, user impact, and technical feasibility analyses
• Develop business cases, implementation roadmaps, and success metrics for proposed AI solutions, ensuring clear prioritization and value realization
• Provide technical leadership and guidance on agent architecture, orchestration frameworks, data integration, governance, security, and responsible AI practices
Mandatory Skills
Education:
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field.

Mandatory Skills
  1. 3+ years of hands-on experience in AI/ML, Generative AI, intelligent automation, or agentic AI solutions.
  2. Proven expertise in Python and AI/ML frameworks (MLFlow, TensorFlow, PyTorch, Scikit-learn, LangChain, or equivalent).
  3. Strong background in data analysis, business process assessment, and large-scale data-driven decision making.
  4. Experience with data engineering, feature engineering, and data processing libraries (Pandas, NumPy, Spark).
  5. Demonstrated experience in designing and deploying AI-powered applications, agents, or automation solutions.
  6. Experience with LLMs, semantic search, embeddings, RAG, or vector-based retrieval methods.
  7. Deep understanding of AI architectures, orchestration frameworks, enterprise integrations, governance, security, and responsible AI principles.
  8. Experience with MLOps practices and tools (model versioning, experiment tracking, pipeline orchestration).
  9. Proficiency in SQL and working with large enterprise datasets.
  10. Strong problem-solving and analytical skills with the ability to evaluate complex business and technology challenges.
  11. Excellent communication skills; ability to explain AI concepts to both technical and non-technical stakeholders.
  12. Ability to collaborate effectively with cross-functional business and technology teams.

Preferred Skills
  1. Experience assessing application backlogs and identifying AI, automation, or GenAI opportunities.
  2. Experience in training, fine-tuning, and optimizing machine learning and foundation models.
  3. Experience with Agentic AI frameworks, prompt engineering, and workflow orchestration.
  4. Experience developing business cases, implementation roadmaps, and value realization metrics.
  5. Experience with semantic indexing, vector databases, and enterprise knowledge retrieval solutions.
  6. Familiarity with data visualization and analytics tools (Tableau, Power BI, Looker, etc.).
  7. Background in AI, NLP, information retrieval, or intelligent automation.
  8. Experience working on AI, digital transformation, or innovation-focused teams.

Nice-to-Have Skills
  1. Experience in enterprise AI transformation, platform modernization, or application rationalization initiatives.
  2. Knowledge of microservices architectures, event-driven systems, APIs, and CI/CD pipelines.