Senior AI/ML Engineer

Description: Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning solutions on AWS. The role includes LLM orchestration, RAG pipelines, vector database integration, and multi-agent systems. The engineer will build predictive models, apply document AI with transformers, and integrate models into secure production workflows. Collaboration with product managers, architects, and cross-functional teams will ensure solutions align with business goals. This position requires availability for meetings during Eastern Time business hours. This is a contract to hire opportunity. Applicants must be willing and able to work on a w2 basis and convert to FTE following contract duration. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $90.00 to $100.00/hr. w2 JN -29 Responsibilities: • Engineer AI solutions using LLM providers and implement complex multi-agent workflows. • Design and develop predictive models using regression, classification, clustering, and neural networks. • Build RAG pipelines, integrate vector databases, and apply prompt engineering with LangChain or LangGraph. • Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies. • Apply software engineering best practices for maintainable, efficient, reliable, and secure code. • Identify and resolve performance bottlenecks and security vulnerabilities. • Implement CI/CD using Terraform, GitLab, and GitLab Runner with automated testing and security scans. • Support production deployments, smoke testing, monitoring, root cause analysis, and issue resolution. • Collaborate in Agile ceremonies, estimate work, and participate in reviews, demos, and retrospectives. Experience Requirements: • 10+ years in Software or IT with 7+ years in data analysis, AI engineering, and machine learning engineering. • Hands-on experience with LLM orchestration, integration, and vLLM-based inference for document understanding. • Experience with multi-agent AI systems, RAG pipelines, vector databases, and prompt engineering. • Strong Python skills with TensorFlow and PyTorch. • Proven AWS expertise including Bedrock, Lambda, ECS, SQS, SNS; additional experience with S3, ELB/ALB, Aurora RDS preferred. • Experience with image transformer models for document image understanding, including Microsoft DiT. • Experience with self-supervised learning and leveraging pre-trained transformer backbones for document AI tasks. • Integration of transformers into OCR pipelines and collaboration with OCR technologies. • OpenCV-based image processing for document analysis. • CI/CD with Terraform, GitLab, and GitLab Runner. • Nice to have: Java, Spring Boot, Spring/JPA, Hibernate/MyBatis, JBoss/Fuse Camel/AMQ, SQL, Oracle, REST services. • Familiarity with AI coding tools such as Claude and Codex. • Strong problem solving and communication skills with ability to work independently. • AWS certification required such as Solutions Architect Associate, Developer Associate, Machine Learning Engineer Associate, SysOps Admin Associate, or Cloud Practitioner. • Public Trust eligibility and awareness of 3 to 6 week clearance timeline, including fingerprinting. Must have been a U.S. permanent resident for at least the last 2 years. Education Requirements: • BA/BS in Computer Science, Machine Learning, or related field with 10 years of experience, or MA/MS or higher with 8 years of experience. • Additional experience does not substitute for the education requirement. Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range. W