Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Best Practices, Business Case, Cloud Computing, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Data Science, Docker, Enterprise Applications, GCP (Good Clinical Practices), Java, Microservices, Microsoft Windows Azure, NoSQL, Performance Tuning/Optimization, Predictive Modeling, Problem Solving Skills, Production Support, SQL (Structured Query Language), Scalable System Development, Software Engineering, Team Player, Use Cases
Request ID: 98164-1
Title: Java + AI Engineer
Locations: Chicago, IL - onsite
Duration: 6 Months
Pay Range: $44 - $48/Hour on W2/C2C (All inclusive)
Introduction
We are seeking a skilled professional to join our team as an engineer specializing in Java and AI. This role involves the design, development, and deployment of AI/ML and Generative AI solutions. The successful candidate will collaborate with various teams to integrate AI capabilities into enterprise applications and ensure the implementation of best practices in AI and MLOps.
Required Skills & Qualifications
- 4–8 years of experience in software engineering, ML engineering, or AI solution development
- Strong proficiency in Java
- 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)
- Prior work experience at client or in client's Industry
Applicants must be able to work directly for Artech on W2
Preferred Skills & Qualifications
- Familiarity with Docker, Kubernetes, and CI/CD pipelines
- Strong problem-solving, communication, and stakeholder collaboration skills
- Deep knowledge in Java streams technology
Day-to-Day Responsibilities
- 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
- 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
Company Benefits & Culture
- Comprehensive health insurance plans
- Opportunities for professional development and career growth
- Inclusive and collaborative work environment
For immediate consideration please click APPLY to begin the screening process with Alex.