Title: AI Engineer Location: Anywhere Job Description: Type: Contract Category: Engineer Industry: Technology Workplace Type: Remote Reference ID: JN -042026-106565 Description: Remote Our client seeks an AI-focused engineer to build backend services and AI agents that execute end-to-end business workflows. The role will design and deploy retrieval-augmented generation systems for AI-driven lookups across enterprise data and integrate agents with secure, scalable services. The engineer will evaluate agent and RAG tooling, implement observability and guardrails, and partner with platform teams to deliver governed, reliable solutions. The impact spans business analytics, workflow automation, and improved decision support. Due to client requirements, applicants must be willing and able to work on a w2 basis. 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: $80.00 to $90.00/hr. w2 #LI-JS1 Responsibilities: - Build AI agents that plan and execute business workflows with multi-step actions, including understanding requests, retrieving context, taking actions, verifying results, and logging outcomes. - Translate ambiguous business problems into repeatable agent workflows with tool and function calling, orchestration logic, and structured outputs. - Design and implement RAG pipelines across structured and unstructured sources, optimizing retrieval quality and grounding. - Implement retrieval strategies that support AI-driven database lookups using semantic search, metadata filters, and business rules. - Integrate agents into backend services via APIs and microservices, delivering reliable endpoints and orchestration layers with auditability and operational controls. - Partner with data and platform teams to ensure scalable and governed data access patterns, including caching, latency constraints, access controls, and logging. - Assess and recommend agent and RAG frameworks and deploy solutions in production-ready architectures. - Implement observability with tracing, evaluation harnesses, and drift monitoring to improve solution quality and cost and performance. - Add guardrails for prompt injection defenses, output validation, and PII handling to align with responsible AI expectations. - Establish quality gates and fallback behaviors so agents fail safely and predictably. Experience Requirements: - Hands-on experience building agentic AI solutions, including LLM tool and function calling, multi-step workflows, and orchestration patterns. - Strong data experience across structured and unstructured sources, including data modeling intuition and data readiness assessment, and collaboration with analytics and data engineering teams. - Proven experience implementing RAG in production or near-production environments, including ingestion, chunking or indexing, retrieval, reranking, and grounding. - Backend engineering fundamentals including APIs, service design, reliability patterns, and integration with enterprise systems. - Proficiency in Python and or another backend language such as Java, Go, or TypeScript, with strong software engineering practices including testing, code review, and CI or CD. 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 (noreply@eliassen.com, 781-808-2924) 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. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact fraud@eliassen.com. About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check

• Build AI-Powered Products End-to-End. • Build and integrate AI/ML capabilities into production applications — including LLM-powered workflows, MCP tool integrations, retrieval-augmented generation (RAG), and predictive analytics. • Own features from concept through deployment: frontend UI, API design, backend services, data pipelines, and AI model integration. • Rapidly prototype and iterate on AI-driven features, moving from proof of concept to production with speed and quality. • Engineer for Scale and Performance. • Build responsive, accessible frontend interfaces using modern frameworks (React/Next.js or similar). • Design and implement scalable backend services and APIs (Python, Node.js, or similar) that serve both human users and AI agents. • Work with cloud infrastructure (Azure preferred) including serverless functions, container orchestration, and managed AI/ML services. • Ensure production systems are reliable, observable, and secure — with appropriate monitoring, logging, and error handling. • Collaborate and Ship. • Partner with Product Management, Design, Business owners, and Data Engineering to define and deliver high-impact features. • Participate in architectural decisions that affect the broader platform, advocating for simplicity, maintainability, and AI-readiness. • Collaborate with other engineers on AI integration patterns, prompt engineering, and modern development practices.

• Build AI-Powered Products End-to-End. • Build and integrate AI/ML capabilities into production applications — including LLM-powered workflows, MCP tool integrations, retrieval-augmented generation (RAG), and predictive analytics. • Own features from concept through deployment: frontend UI, API design, backend services, data pipelines, and AI model integration. • Rapidly prototype and iterate on AI-driven features, moving from proof of concept to production with speed and quality. • Engineer for Scale and Performance. • Build responsive, accessible frontend interfaces using modern frameworks (React/Next.js or similar). • Design and implement scalable backend services and APIs (Python, Node.js, or similar) that serve both human users and AI agents. • Work with cloud infrastructure (Azure preferred) including serverless functions, container orchestration, and managed AI/ML services. • Ensure production systems are reliable, observable, and secure — with appropriate monitoring, logging, and error handling. • Collaborate and Ship. • Partner with Product Management, Design, Business owners, and Data Engineering to define and deliver high-impact features. • Participate in architectural decisions that affect the broader platform, advocating for simplicity, maintainability, and AI-readiness.

• Build AI-Powered Products End-to-End. • Build and integrate AI/ML capabilities into production applications. • Own features from concept through deployment: frontend UI, API design, backend services, data pipelines, and AI model integration. • Rapidly prototype and iterate on AI-driven features. • Build responsive, accessible frontend interfaces using modern frameworks (React/Next.js or similar). • Design and implement scalable backend services and APIs (Python, Node.js, or similar). • Work with cloud infrastructure (Azure preferred). • Ensure production systems are reliable, observable, and secure. • Partner with Product Management, Design, Business owners, and Data Engineering to define and deliver high-impact features. • Participate in architectural decisions that affect the broader platform.