Job Description

**Cloud AI Software Engineer V** **Anywhere** **Type:** Contract **Category:** Engineer **Industry:** Financial Services **Workplace Type:** Remote **Reference ID:** JN -052025-102025 **Date Posted:** 06/07/2025 **Shortcut:** + Description + Recommended Jobs **Description:** We are hiring a Distinguished Cloud AI Software Engineer who has built AI/ML applications-not just read about them. You will operate as a trusted advisor in a hands-on capacity for the development of retrieval-augmented generation (RAG) systems, fine-tuning LLMs, and AWS-native microservices that drive automation, insight, and governance in an enterprise environment. You'll design and deliver scalable, secure services that bring large language models into real operational use-connecting them to live infrastructure data, internal documentation, and system telemetry. You'll be part of a high-impact team pushing the boundaries of cloud-native AI in a real-world enterprise setting. This is not a prompt-engineering sandbox or a resume keyword trap. If you've merely dabbled in SageMaker, mentioned RAG on LinkedIn, or read about vector search-this isn't the right fit. We're looking for candidates who have architected, developed, and supported AI/ML services in production environments. This is a builder's role within our Public Cloud AWS Engineering team. We aren't hiring buzzword lists or conference attendees. If you've built something you're proud of-especially if it involved real infrastructure, real data, and real users-we'd love to talk. If you're still learning, that's great too-but this isn't an entry-level role or a theory-only position. This is a 100% long term remote role. _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: $110 - $135 / hr. w2_ **Responsibilities:** + Design, develop, and maintain modular AI services on AWS using Lambda, SageMaker, Bedrock, S3, and related components-built for scale, governance, and cost-efficiency. + Lead the end-to-end development of RAG pipelines that connect internal datasets (e.g., logs, S3 docs, structured records) to inference endpoints using vector embeddings. + Design and fine-tune LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and other frameworks. + Tune retrieval performance using semantic search techniques, proper metadata handling, and prompt injection patterns. + Collaborate with internal stakeholders to understand business goals and translate them into secure, scalable AI systems. + Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code (Terraform). + Support the development and evolution of reusable platform components for AI/ML operations. + Create and maintain technical documentation for the team to reference and share with our internal customers. **Experience Requirements:** + 10+ years of proven software engineering experience with a strong focus on Python and GoLang and/or Node.js. + Demonstrated contributions to open-source AI/ML/Cloud projects, with either merged pull requests or public repos showing real usage (forks, stars, or clones). + Direct, hands-on development of RAG, semantic search, or LLM-augmented applications, using frameworks and ML tooling like Transformers, PyTorch, TensorFlow, and LangChain-not just experimentation in a notebook. + Deep expertise with AWS services, especially Bedrock, SageMaker, ECS, and Lambda. + Proven experience fine-tuning large language models, building datasets, and deploying ML models to production. + Demonstrated success delivering production-ready software with release pipeline integration. + Excellent verbal and written communication skills in English. **Education Requirements:** Ph.D. in AI/ML/Data Science and/or named inventor on pending or granted patents in machine learning or artificial intelligence. _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._ _Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact [email protected]._ _About Eliassen Group:_ _Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate._ _Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status._ _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!_

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