Job Description
**Senior Cloud AI Software Engineer**
**Anywhere**
**Type:** Contract
**Category:** Engineer
**Industry:** Financial Services
**Workplace Type:** Remote
**Reference ID:** JN -052025-102023
**Date Posted:** 06/07/2025
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**Description:**
We are hiring a Sr AI AWS Engineer who has actually built AI/ML applications in cloud-not just read about them. This role centers on hands-on 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 BedRock, 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.
_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: $65 - $75 / hr. w2_
**Responsibilities:**
+ Hands-on role using AWS (Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, S3).
+ Responsible for the implementation of AWS cloud services including infrastructure, machine learning, and artificial intelligence platform services.
+ Experience with LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and other frameworks.
+ Develop cloud-native microservices, APIs, and serverless functions to support intelligent automation and real-time data processing.
+ 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.
+ Excellent verbal and written communication skills in English.
**Experience Requirements:**
MINIMUM KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:
+ 7 years of hands-on software engineering experience with a strong focus on Python.
+ Experienced with AWS services, especially Bedrock or SageMaker
+ Familiar with fine-tuning large language models or building datasets and/or deploying ML models to production.
+ Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config).
+ Solid experience implementing RAG architectures and LangChain.
+ Demonstrated experience in Infrastructure as Code best practices and experience with building Terraform modules for AWS cloud.
+ Strong background in Git-based version control, code reviews, and DevOps workflows.
+ Demonstrated success delivering production-ready software with release pipeline integration.
Nice-to-Haves:
+ AWS or relevant cloud certifications.
+ Policy as Code development (e.g., Terraform Sentinel).
+ Experience with Hugging Face, Golang, or Node.js.
+ Exposure to FinOps and cloud cost optimization.
+ Data science background or experience working with structured/unstructured data.
+ Awareness of data privacy and compliance best practices (e.g., PII handling, secure model deployment).
**Education Requirements:**
Bachelors Degree
_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 InfoSec@eliassen.com._
_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!_
Job Tags
Hourly pay, Contract work, Local area, Remote work,
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