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.
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.
Architect scalable Python microservices and AI integrations on AWS.
Drive system health, code quality, and observability standards.
Mentor junior engineers and collaborate with US-based client teams.
CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. Our nearshore team culture empowers engineers to take ownership and grow continuously.
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.
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 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.
Designing, building, and deploying AI and Generative AI solutions like LLM-powered applications and chatbots.
Developing and optimizing prompt engineering strategies and RAG pipelines using vector databases.
Integrating AI models into cloud-based applications and implementing agent-based workflows.
Software Mind develops solutions that make an impact for companies around the globe, working with tech giants and unicorns on transformative projects. Our culture embraces openness, respect, grit, and guts, combining employment with enjoyment in cross-functional engineering teams.
Drive backend development for AI workflows using Python and FastAPI as part of a collaborative team.
Productionize LLM integrations with systems for Bedrock usage, quotas, retries, and cost controls.
Build for scale by optimizing async job orchestration, performance, and data-layer for petabyte-scale enterprise data.
Smarsh empowers organizations to manage risk and uncover intelligence in digital communications. With over 6500 clients in regulated industries and consistent recognition from Gartner and Forrester, Smarsh has been listed on the Inc. 5000 as one of America's fastest-growing companies since 2008.
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.
Design, build, and integrate AI/ML capabilities supporting mission workflows in secure government cloud environments using FedRAMP-authorized AWS GovCloud services.
Develop production-quality AI/ML applications and supporting services using Python, applying standard engineering practices such as source control, automated testing, and CI/CD.
Implement Generative AI and Retrieval-Augmented Generation (RAG) patterns, including document ingestion, embedding generation, retrieval, and model inference.
True Zero Technologies is a veteran-owned small business specializing in security resilience and technology services, focused on enabling people and technology to deliver top-tier outcomes. The company has been recognized as a Best Places to Work honoree and an Inc. 5000 fastest-growing company, with a people-first culture.
Develop scripts and tools to improve processes like onboarding, transactions, and reporting.
Integrate AI and LLMs using generative AI for tasks like document handling and decision support.
Design agent-based automations using frameworks like LangChain or CrewAI to perform multi-step tasks independently.
Experian is a global data and technology company powering opportunities for people and businesses worldwide. We have an amazing team of 25,200 people across 32 countries, with a people-first and inclusive culture.
Design and implement production-ready AI capabilities that improve reasoning, accuracy, and explainability.
Optimize autonomous agent workflows and Retrieval-Augmented Generation pipelines for performance.
Develop evaluation frameworks and benchmark datasets to measure AI effectiveness and drive continuous improvement.
LTS builds an AI-native engineering platform for modernizing mission-critical healthcare systems serving millions of Veterans. The engineering team is intentionally small, giving every engineer meaningful ownership and direct influence over product direction.
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.
Design and deliver production-ready AI solutions including machine learning, generative AI, and LLM applications.
Translate complex business needs into scalable technical architectures and implementation plans.
Guide clients and cross-functional teams through discovery, architecture, and adoption of AI systems.
This company partners with organizations to deliver AI and data transformation solutions. It fosters a collaborative, remote-first culture focused on innovation, inclusivity, and meaningful impact.
Own end-to-end delivery quality for major engagements, translating ambiguous client needs into practical execution plans.
Lead solution architecture and technical decision-making, making pragmatic tradeoffs between speed, quality, and client value.
Build and ship production AI/ML systems using Python, ML frameworks, and cloud-native infrastructure while mentoring other engineers.
Eliza is a technology services company and Advanced-tier OpenAI partner that helps organizations build and deploy AI solutions, from generative AI to predictive analytics. They are a collaborative, mission-driven team focused on real-world AI impact.
Build and deploy production AI services including agentic workflows, RAG pipelines, and LLM-integrated applications using Python and commercial foundation models.
Implement data-to-insight pipelines with document ingestion, embeddings, vectorization, and knowledge graphs.
Design secure API interfaces and containerize AI services with Docker and Kubernetes for deployment.
They engineer high technology solutions for defense and scientific missions. With a global team of 12,000+ professionals, they value trust, honesty, and innovation.
Design and develop scalable backend services (Python, FastAPI) powering the AI platform.
Build and optimize RAG pipelines, AI agent systems, and orchestration of LLM models in production.
Manage cloud infrastructure (AWS/Azure) including multi-tenant isolation and serverless functions.
A dynamic startup building a modern B2B AI platform powered by autonomous agents. The company focuses on eliminating tedious analytics for enterprise teams through flexible architecture and advanced workflows.
Design, develop, and deploy autonomous and multi-agent AI systems for reasoning, planning, and human-in-the-loop collaboration.
Engineer enterprise RAG pipelines with embeddings, hybrid retrieval, and prompt orchestration for explainable responses.
Build scalable backend services and APIs for enterprise AI workloads with security, reliability, and observability.
LTS builds an AI-native engineering platform to modernize legacy software systems, particularly for healthcare serving millions of Veterans. The engineering team is intentionally small, with every engineer having meaningful ownership and significant technical influence.
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.
Design and implement full-stack AI applications, from UI to API to orchestration logic.
Rapidly build and deploy functional prototypes to drive immediate client value.
Own technical delivery of custom solutions, integrations, and workflow automation end-to-end.
They are a privately held, enterprise-focused AI solutions firm with a team of 20+ engineers. They build and deploy AI agents across healthcare, manufacturing, private equity, and e-commerce, covering chatbots, voice agents, workflow automation, and RAG-based knowledge management.