Build innovative solutions using AI tools on the AWS platform.
Develop GenAI applications with autonomous agents and LLMs.
Work with backend development, databases, and prompt engineering.
CI&T helps large companies transform AI potential into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25+ countries, they foster a culture of innovation and collaboration.
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.
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.
Provectus is a Premier AWS partner and Anthropic Strategic Partner that helps enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, the company has a team of over 100 AWS-certified engineers who work embedded inside client operations as Forward Deployed Engineers, focused on reimagining how businesses operate and compete.
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.
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.
Build LLM evaluation systems and diagnose agent performance issues across prompts and tools.
Netomi is an agentic AI platform for enterprise customer experience, enabling automation for global brands. Backed by Y Combinator and Index Ventures, the company drives efficiency and higher quality experiences.
Design and build production-grade LLM-powered agents and workflows, including architecture decisions on system design and deployment.
Develop and optimize prompts, RAG pipelines, and agent reasoning patterns, building evaluation frameworks for accuracy and performance.
Implement and manage end-to-end AI systems on cloud infrastructure (AWS, GCP, or Azure), collaborating with cross-functional teams.
Smartsheet empowers teams to manage work seamlessly and scale solutions smarter with AI-powered agents. The company fosters an inclusive, collaborative culture where diverse perspectives are valued.
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.
Design, build, and deploy generative AI systems using large language models, RAG, and agentic workflows.
Own the full lifecycle from experimentation to production, including evaluation, infrastructure, and monitoring.
Collaborate with Product, Engineering, and Data teams to turn AI ideas into scalable, secure customer experiences.
Typeform is a form builder that helps over 150,000 businesses collect data with forms, surveys, and quizzes that people enjoy. With 500 million responses annually, we are a diverse team of 500+ employees committed to excellence, respect, and transparency.
Design and build production-grade agentic AI systems for marketing and customer experience.
Architect agent workflows with reasoning, tool use, retrieval, and performance monitoring.
Evaluate emerging frameworks like LangGraph and LangChain for enterprise applications.
The company specializes in developing production-grade agentic AI systems for enterprise marketing and customer experience. It fosters a remote-first, collaborative culture focused on innovation and technical excellence.
They are a technology company focused on integrating AI capabilities into customer-facing products and internal workflows. The team is fast-moving and product-focused, with a culture of ownership and continuous iteration.
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.
Contribute to production AI systems by building, testing, and improving LLM-powered document analysis features for lawyers.
Help clean, structure, and label legal data to power AI systems, building data pipelines that make models work in practice.
Implement bounded components of multi-step AI workflows for legal tasks under senior engineer supervision.
Cleary Gottlieb is a global law firm with 14 offices and approximately 1,100 lawyers from over 50 countries. Their internal AI team builds bespoke AI solutions for legal work, fostering a tight-knit, remote-first culture that values growth, honesty, and curiosity.
Design, develop, and deploy AI/ML models including NLP, predictive models, and intelligent automation workflows.
Integrate LLM-powered features using APIs like OpenAI and implement RAG patterns and AI agent workflows.
Collaborate with cross-functional teams to translate requirements into AI use cases and contribute to engineering best practices.
We are a confidential US-based organization dedicated to leveraging AI and technology to drive business transformation. Our team values innovation and collaboration, and we foster a culture that supports employee growth and responsible AI practices.
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.
Build and enhance LLM-powered analytics features such as natural-language querying, retrieval-augmented generation, and agentic workflows over structured and unstructured healthcare data.
Contribute to text-to-SQL and semantic-layer systems enabling non-technical users to query complex datasets accurately and safely.
Develop retrieval pipelines using vector search and hybrid keyword+semantic methods while implementing evaluation, guardrails, and hallucination checks for compliance.
BPD is a strategic growth partner that provides integrated branding, marketing, communications, and business consulting solutions for healthcare brands. The company fosters an inclusive culture that values diversity, collaboration, and continuous learning.
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.
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.
Build and ship AI-powered tools and agents across the full stack, including API integrations and backend services.
Deploy and manage solutions in Azure and AWS, handling monitoring, capacity, and incident response.
Collaborate with stakeholders to scope requirements and deliver production-ready solutions.
Revalize empowers manufacturing businesses with CPQ, PLM, and design solutions. It serves over 16,000 global customers and is a portfolio company of TA Associates and Hg.
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.