Take the operator's seat for two to four weeks at the start of an engagement, learning the function from the inside before writing any code.
Build and ship production GenAI systems, including LLM applications, agentic workflows, and retrieval pipelines, on AWS into the customer's environment.
Own the outcome by working in a pair with a Forward Deployed Executive, with your work measured against the business unit's KPIs.
You will work directly within client environments, translating real operational needs into production-ready AI systems rather than proof-of-concept solutions.
The role spans technical discovery, architecture, software development, deployment, optimization, and ongoing delivery ownership.
You will design and build RAG systems, agentic AI workflows, backend services, and cloud-native architectures that operate at enterprise scale.
Jobgether uses an AI-powered matching process to connect candidates with roles at partner companies. They operate remotely and focus on efficient, fair hiring through automated shortlisting, with a commitment to data privacy and human oversight in final decisions.
Lead end-to-end development of advanced AI solutions including agentic systems, RAG pipelines, and multi-agent workflows.
Architect AI infrastructure with guardrails, access controls, and compliance protocols for ethical deployment.
Guide multi-disciplinary teams, setting technical playbook and best practices.
Nava is a consultancy and public benefit corporation that makes government services simple and effective. Since 2015, federal, state, and local agencies have trusted Nava to solve technology modernization challenges, and they maintain a collaborative, remote-friendly team environment.
Design and own LLM-powered agents end-to-end on AWS GenAI platform with LangChain/LangGraph and Bedrock.
Build and operate MCP servers that expose company data and services as structured tools for AI models.
Define testing, reliability, and operational practices for major agent services and mentor across the team.
Mitratech builds world-class products that simplify operations in Legal, Risk, Compliance, and HR functions. They serve 20,000 client companies, including 30% of the Fortune 500, and have a diverse, inclusive culture that supports individual excellence.
Lead client AI initiatives from discovery through production deployment.
Design and implement production-ready GenAI solutions using Amazon Bedrock and RAG pipelines.
Translate business requirements into technical architecture recommendations and guide clients on AI/ML best practices.
Innovative Solutions is a technology consulting firm that helps clients implement AI and cloud solutions. The company culture emphasizes innovation and client partnership, though specific size is not disclosed.
Own Delivery End-to-End: Take ownership of features from design through to production.
Shape AI Agentic Systems: Build intelligent workflows using LLMs and agentic architectures.
We build production-ready AI agentic systems that reshape how financial institutions operate. We are a rapidly growing FinTech backed by major investors, recognized as Fintech of the Year for two consecutive years, with a team of experienced engineers and PhD-level AI specialists.
Design, build, deploy, and manage secure and scalable generative AI solutions using AWS services.
Enable technical users with guidance and support for AI service usage, ensuring security and compliance.
Collaborate with IT and information security teams to implement robust controls and monitor AI deployments.
GuidePoint Security provides trusted cybersecurity expertise, solutions, and services that help organizations make better decisions and minimize risk. With over 1,300 employees and partnerships with leading security vendors, we serve as a trusted advisor to more than 6,200 customers and foster a collaborative culture.
Deploy and configure our AI voice agent for new customers, reducing onboarding effort.
Build evaluation suites to validate behavior, catch regressions, and tune prompts.
Develop new features and fixes to optimize latency, inference cost, and hallucination guardrails.
PerfectServe is a leading provider of clinical communication and physician scheduling solutions in the health IT space. With over 400 employees, 30,000+ customers, and $100 million+ in annual revenue, the company fosters a collaborative culture that values innovation and cutting-edge product development.
Drive AI platform architecture and execute the long-term roadmap for machine learning and generative AI.
Lead AI infrastructure vision including end-to-end training, fine-tuning, and low-latency inference platforms.
Set engineering excellence standards for the full AI/ML SDLC and mentor senior engineers.
Lyra Health is a leading provider of evidence-based mental health care, serving over 20 million people globally. The company operates with a focus on transformative care and has delivered over 15 million sessions, employing a large team that includes engineers, data scientists, and clinical professionals.
Engage directly with client CXOs to identify high-value wedges and build working proofs in weeks, translating into scalable MVP rollouts on client or hyperscaler platforms.
Rapidly engineer Proofs of Value using agent workflows with tool use, enterprise system integration, and lightweight UIs to demonstrate business impact and technical feasibility.
Produce scalable Agentic Blueprints including agent roles, orchestration patterns, and guardrails, then hand off cleanly to delivery teams with a production-ready plan.
Our client is an IT company specializing in enabling digital transformation for enterprises and technology providers by delivering seamless customer experiences, business efficiency, and actionable insights. They are building enterprise-grade GenAI and Agentic AI capabilities across Fortune 2000 clients.
Own the ML/AI platform, including training infrastructure, model serving, inference pipelines, and production integrations.
Set technical direction for ML/AI architecture, tooling, standards, and strategy in partnership with data science and engineering.
Drive GenAI and LLM engineering, including RAG, prompt engineering, fine-tuning, and agentic workflows.
This company builds AI/ML infrastructure for financial technology products used by over 1,600 financial institutions. It operates as a globally distributed team with a focus on innovation and collaboration.
Lead the technical vision and architectural strategy for Experian's cloud-native platform and agentic AI capabilities.
Define and promote agentic AI architecture patterns, including multi-agent systems, tool orchestration, and LLM routing.
Establish and govern DevOps standards, including CI/CD pipeline design, GitOps practices, and deployment strategies.
Experian is a global data and technology company powering opportunities for people and businesses across financial services, healthcare, automotive, and more. The company has a team of 25,200 people in 32 countries and is known for its people-first, inclusive culture.
Write and maintain production-quality Python code for AI integrations, agent workflows, and internal tooling.
Configure agentic harnesses (Azure Foundry, AWS Bedrock, Claude Cowork-style deployments) for client teams.
Present architecture options and recommendations to client stakeholders, translating technical concepts for all audiences.
Redapt designs, deploys, and optimizes agentic AI solutions for enterprise clients. The company emphasizes embedded client delivery and technical advisory, with a culture of hands-on engineering and client partnership.
Design and implement full-stack applications, AI agents, and platform components for rapid GenAI agent development, validation, and deployment.
Build developer tooling, CI/CD, and observability for safe, fast iteration with evals, canaries, and rollout/rollback systems.
Apply current LLM patterns like RAG, retrieval, routing, and tool-use to deliver measurable customer value and improved trust/safety metrics.
Wolters Kluwer provides expert software and information solutions that professionals in healthcare, legal, tax, and compliance industries rely on for critical decisions. With over 21,000 employees worldwide and 2025 annual revenues of €6.1 billion, they operate in over 40 countries with a culture valuing diversity and inclusion.
Lead the design and implementation of complex ML/AI systems end-to-end within client environments.
Embed directly with client teams, translating business problems into AI system designs.
Define AI architecture standards and mentor engineers to drive adoption.
Robots & Pencils designs AI systems for a human world, pairing engineering with creativity. The company values ownership and craft, with a team that ships production-ready AI in 30 to 45 days.
Build and evolve shared AI capabilities and reusable services for construction software products.
Design and implement production-grade AI systems including LLM-based experiences and agentic workflows.
Partner with product teams to identify cross-product opportunities and support integration of shared capabilities.
We are a technology company specializing in data science and AI solutions. With over 1,800 talents across 7 global sites, we are a Great Place to Work certified employer that values diversity and inclusion.
Build and evolve production AI agents on foundation models using AWS Bedrock.
Develop evaluation pipelines and production observability for LLM systems.
Apply context engineering and agent architecture fundamentals to inform orchestration framework decisions.
Smart Working connects exceptional professionals with outstanding global teams through long-term remote opportunities. They are a high-rated workplace on Glassdoor that values integrity, excellence, and professional growth.
Lead the architecture and technical delivery of Amazon Connect and AI agent solutions for customers.
Build AI-native conversational experiences using Amazon Bedrock and Claude, with production-scale prompt engineering.
Drive end-to-end delivery, including infrastructure, CI/CD, and mentoring a team of engineers.
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As a fully remote global company with employees in Canada, the US, and Latin America, they foster a culture of technological curiosity and put people first.
Architect and deploy autonomous AI agents and multi-agent workflows for privacy-first systems.
Build scalable backend services using FastAPI and orchestrate agentic workflows with LangGraph in AWS or Azure.
Develop rigorous evaluation pipelines for accuracy, citation adherence, latency, and reliability.
Osano is a leading data privacy platform that helps organizations comply with global privacy regulations like GDPR and CCPA. Backed by top-tier investors and recognized as a Great Place to Work for four years running, the company has a 97% employee satisfaction rate and a mission-driven, fast-growing culture.
Build best-in-class AI features end to end, including RAG pipelines, agentic workflows, and LLM apps on AWS Bedrock, shipping them to production fast.
Design and ship async Python services (FastAPI, SQLAlchemy 2 async) that stream live job progress to users over WebSocket/SSE and own features in the React/TypeScript portal.
Take real ownership from day one across backend, frontend, cloud, and applied AI, with mentorship from experienced engineers and a fast-moving fully remote team.
Veeva Systems is a mission-driven cloud software leader for the life sciences industry, helping pharmaceutical and biotech companies bring therapies to patients faster. As one of the fastest-growing SaaS companies with over $3B in revenue, it became a public benefit corporation in 2021 and supports a flexible work-anywhere culture.
Build AI-powered tools and copilots across the SDLC to reduce cognitive load and eliminate manual steps.
Research and deploy GenAI solutions to improve delivery pipelines and system reliability.
Collaborate with Platform, SRE, and DevOps teams to integrate intelligent automation into the core engineering platform.
Coderio designs and delivers scalable digital solutions for global companies. They combine strong technical expertise with a product mindset and value autonomy and clear communication.