Develop and deploy machine learning and AI systems.
Work with LLMs, generative AI, and modern ML frameworks.
Optimize model performance, latency, and cost.
A fast-growing technology company building critical infrastructure that powers high-volume, real-time business operations across multiple systems and platforms. It is a collaborative, fast-moving environment where engineers have meaningful influence on architecture and product direction.
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.
Design, build, and improve production agentic AI systems used to solve complex real-world problems.
Develop agent architectures, model integrations, and evaluation frameworks for reliable, production-grade AI.
Build scalable APIs, services, and infrastructure supporting agent execution and AI-powered product experiences.
Air is the leader in Enterprise Readiness, providing an AI-native platform to align development, production, delivery, and sustainment for government agencies and industrial suppliers. The company is a startup with a focus on mission-driven work and innovation.
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 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.
Lead discovery and development of AI agents, analytical solutions, and predictive models from concept to production.
Build advanced generative AI systems with multi-agent architectures, LangChain/LangGraph, and RAG for document analysis.
Implement MLOps/GenAIOps, real-time monitoring dashboards, and ethical AI safeguards like bias and prompt security testing.
Banco BV is a major Latin American financial institution with 37+ years turning credit into customer relationships. Named best financial institution to work for by GPTW in 2025, it has an agile, digital, and customer-centric culture.
Design, develop, and deploy LLM-powered and generative AI systems to enhance real estate operations, customer experience, and product innovation.
Build and optimize agentic pipelines, including orchestration, tool integration, and feedback loops for production-grade AI systems.
Work closely with cross-functional teams to identify opportunities for AI integration and architect scalable, event-driven architectures.
Real REMAX Group is a global real estate company that combines Real's AI-powered technology platform with REMAX's iconic brand and franchise network. The company's network of over 180,000 real estate professionals spans more than 120 countries, fostering a culture of innovation and community with a focus on 'Tech x Humanity.'
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.
Design, build, deploy, and monitor LLM-powered document analysis pipelines that serve lawyers daily, meeting defined latency SLAs and accuracy benchmarks.
Architect multi-step, multi-agent systems for complex legal tasks with robust state management, tool calling, and human-in-the-loop checkpoints.
Collaborate with lawyers and product to translate ambiguous legal workflows into structured AI problems and iterate based on user feedback and eval results.
Cleary Gottlieb is a global law firm that provides legal services through 14 offices in major financial centers worldwide. The firm employs approximately 1,100 lawyers from more than 50 countries and operates as a single, integrated global partnership with a culture of intellectual agility and human touch.
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.
Design and build reusable platform capabilities for LLM applications, AI agents, RAG, and tool calling.
Develop scalable data pipelines and secure integrations connecting AI applications to enterprise systems.
Establish technical standards for AI deployment, observability, evaluation, and lifecycle management.
Jobgether uses AI-powered matching to connect candidates with roles. They operate as a global, fully distributed international team with colleagues across multiple countries, offering a collaborative and inclusive environment.
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 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.
Lead a team of AI engineers, setting technical direction and quality standards while staying hands-on in code.
Own the architecture and end-to-end delivery of AI systems using LLMs, RAG, and agentic patterns.
Drive evaluation, monitoring, and continuous improvement loops to ensure production-grade AI capabilities.
Finom is a European tech startup building an all-in-one financial B2B platform for entrepreneurs, integrating banking, accounting, and invoicing. They are a well-funded company with over $346 million in total funding, maintaining a startup culture that values innovation, swift implementation, and employee impact.
Design, develop, and deploy AI solutions that power business products and operations.
Collaborate with product, data science, and engineering teams to build scalable, production-ready AI systems.
Write clean, maintainable code and integrate AI/ML models into backend and frontend applications.
Zone & Co is the ERP-native AI platform for financial operations, purpose-built for organizations running on Oracle NetSuite. They serve more than 4,500 customers worldwide and operate as a high-velocity, fully remote, global team.
Architect and build an enterprise-grade Agentic AI orchestration platform from the ground up.
Design scalable AI systems combining large language models, RAG, multi-agent workflows, and reusable components.
Provide technical leadership in architecture decisions, ensuring scalability, security, and reliability.
The company is building an enterprise-grade Agentic AI orchestration platform. It is a remote, international technology-focused environment with opportunities to solve complex AI/ML engineering challenges.
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.
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.
Own the development, fine-tuning, and evaluation of in-house AI models from dataset design through to production deployment.
Run supervised fine-tuning and post-training experiments, establishing benchmarks and evaluation harnesses.
Take models to production on Stream's serving stack, tuning for latency, cost, and reliability at high volume.
Stream provides APIs and SDKs for building activity feeds, chat, and voice/video, powering over a billion end users worldwide. We are a team of over 120 peers from over 35 countries, with a casual social culture that values transparency and excellence.
Design and build reusable agentic infrastructure, including memory, context management, tool-calling, orchestration, and feedback loops.
Establish evaluation and observability frameworks to understand agent performance and ensure reliable production systems.
Drive operational automation by bridging complex workflows with engineering and influencing architectural patterns.
Dwelly builds an AI operating system for residential lettings, automating workflows for landlords and tenants. Managing over 15,000 properties and $470M GMV, it's a fast-growing, product-focused team backed by $263M.