Location: ONSITE- Chicago, IL
Duration: 6 months
Descriptions:
“• Design, develop, and deploy AI/ML and Generative AI solutions including LLM based applications, RAG pipelines, agents, and predictive models
• Translate business use cases into production ready AI solutions with measurable outcomes
• Deep knowledge in Java streams technology
• Implement LLM orchestration, prompt engineering, vector search, embeddings, and model fine tuning • Develop scalable APIs and microservices to integrate AI capabilities into enterprise applications • Collaborate with Data Engineers, Data Scientists, Product Owners, and Cloud teams across onshore offshore models • Implement MLOps / LLMOps practices including CI/CD, monitoring, versioning, model governance, and observability • Ensure Responsible AI, security, compliance, and data privacy by design • Support production deployments, performance tuning, and continuous improvement of AI systems.”
“• 4–8+ years of experience in software engineering, ML engineering, or AI solution development
• Strong proficiency in Java and experience
• Hands on experience with Generative AI / LLMs, including RAG, embeddings, prompt engineering, and agents
• Solid understanding of data engineering concepts, SQL/NoSQL, and feature pipelines
• Experience deploying AI solutions on cloud platforms (GCP preferred; AWS/ Azure acceptable)
• Familiarity with Docker, Kubernetes, and CI/CD pipelines
• Strong problem solving, communication, and stakeholder collaboration skills”.
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