Own AI agents and autonomous workflows powered by LLMs from problem framing through production.
Build RAG pipelines, set evaluation and guardrail standards, and optimize for cost and scalability.
Work directly with client teams to scope problems and deploy AI systems in their environments.
Acceler is a Forward-Deployed Engineer company that takes AI from pilot to production inside client systems. With a practitioner network of nearly 1,000 engineers across the US and India, it's a high-caliber team built on ownership, trust, and rapid learning.
Build and improve AI agents by writing production code for Voice Agent and Autopilot platforms.
Own enterprise AI deployments from initial discovery through go-live, working directly with customers.
Design and implement AI workflows, debug agents in production, and turn customer needs into reusable product features.
Supermove builds software and AI for moving companies, providing systems for sales, operations, crews, and billing. The company has raised $30M from investors like Andreessen Horowitz and serves moving businesses across the US, Canada, and Australia.
Partner directly with strategic customers in the field to discover problems and frame high-impact GenAI use cases.
Design and build end-to-end GenAI/ML systems — RAG pipelines, agentic workflows, evaluation, and guardrails — shipping them to production.
Own the full stack from backend services to LLM pipelines and front-end integrations, iterating quickly with real users to harden pilots into reliable services.
ServiceNow is an AI control tower for business reinvention, bringing together AI, data, and workflows to help the Fortune 500 work smarter. You'll join an established enterprise software company building an AI-native culture where technology and talent are unstoppable together.
Partner directly with clients to turn ambiguous business challenges into clear technical plans and prototypes.
Build and deploy AI-enabled applications, agentic workflows, APIs, data pipelines, and full-stack products.
Engineer reliable agent harnesses, evaluation frameworks, and safeguards to ensure production-ready AI systems.
TribalScale is a digital innovation firm that partners with clients to build transformative digital products, modernize technology platforms, and apply AI to meaningful business challenges. The team values curiosity, ownership, practical innovation, and lives by principles of meritocracy, empowerment, and transparency.
Ship end-to-end AI products: transform ambiguous business challenges into scalable, production-grade AI features and applications.
Build persistent and compliant AI memory architectures using vector stores like Pinecone and Pgvector.
Unify fragmented enterprise data by developing pipelines integrating CRM, ERP, and marketing platforms for reliable AI agent sources.
Nortal is a global digital transformation company that delivers complex solutions for enterprises and public sector organizations. With over 25 years of experience, it fosters a culture of autonomy, open communication, and respect for diversity, working as a close-knit remote team across LATAM.
Design, build, and deploy AI-driven systems into production environments at the intersection of frontend, backend, and infrastructure.
Build AI-native interfaces and workflows, integrating LLM-powered systems and agentic architectures.
Own problems end-to-end, from initial requirements to rollout, while working directly with customers.
Trail builds the context layer AI agents run on, providing a governed graph of company rules, exceptions, and institutional knowledge. It's a fast-moving, engineering-driven startup working directly with customers to deploy AI systems into live production.
Lead customer deployments from kickoff through launch, managing delivery and relationships.
Map customer workflows and translate business logic into agent behaviors.
Configure and deploy AI agents across enterprise systems and debug in production.
A company delivering AI and automation solutions directly into customer environments, focusing on production-ready AI agents. The team culture emphasizes hands-on deployment ownership and close collaboration with customer stakeholders.
Build, configure and deploy AI agents for enterprise customers.
Integrate with customer APIs, databases and CRMs.
Tune and troubleshoot agents on live traffic.
A late-stage, venture-backed enterprise AI company deploying AI agents inside large customers' systems. They value ownership, with engineers handling integration to launch with no handoff.
Partner with enterprise customers to understand workflows and design AI-driven solutions.
Own projects end-to-end from system design to production deployment.
Build and iterate on AI agents that deliver real business impact.
Wonderful enables enterprises to build, test, deploy, and monitor AI agents for complex needs across voice, chat, email, and back-office systems. They foster an ownership-driven culture where engineers solve high-impact problems alongside enterprise customers.
Build production-ready LLM applications across backend, data, and front-end.
Partner with customers in the field to deploy and iterate AI solutions.
Codify reusable patterns and influence the platform roadmap.
ServiceNow provides an AI control tower for business reinvention, bringing together AI, data, and workflows. The company powers 85% of the Fortune 500 and fosters an AI-native culture where technology and talent work together.
Build AI-powered agents and tools end-to-end: identify problems with clients, prototype quickly, evaluate rigorously, and ship to production.
Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows.
Work directly with clients to understand workflows, validate AI behavior, and iterate toward production quality.
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. With over 1,500 firms in 60 countries and nearly $10 trillion in assets on the platform, Addepar fosters a culture of ownership, collaboration, and continuous learning.
Lead a remote team of engineers to design, ship, and deliver agentic AI systems for enterprise clients, owning the process from discovery to adoption.
Write production code, set technical direction, and develop engineers through example, review, feedback, and coaching.
Compound successful approaches into shared tools, datasets, and engineering methods that strengthen future engagements and shape EggAI's engineering culture.
EggAI builds production-grade agentic AI systems for enterprise clients. The company values high-skilled remote teams and a culture of continuous learning and shared engineering assets.
Own customer solutions end-to-end: rapidly prototype, iterate, and deploy solutions in live operational environments.
Build trusted relationships from IC level to executive sponsor and become the technical face of the company.
Run multiple customer engagements in parallel, setting expectations and owning outcomes.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. We have grown to over 2000 employees worldwide with a best-in-class HQ in Ottawa and are proud winners of several Top Employer awards.
Build and deploy secure, production-grade AI solutions for GTM teams using RAG, structured-data querying, and agentic workflows.
Partner with GTM leaders to shape AI strategy, run discovery, and advise on feasibility, cost, risk, and Build/Partner/Buy decisions.
Set engineering standards, improve reusable building blocks, and mentor engineers while driving adoption across field teams.
Zscaler accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The company's Zero Trust Exchange platform protects thousands of customers globally, and it is building an AI-native culture centered on ownership, collaboration, and ongoing feedback.
Develop and enhance AI-powered features across existing products using LLMs and modern AI frameworks.
Integrate conversational AI, voice AI, and RAG pipelines into production applications.
Collaborate with product teams and AI scientists to improve AI quality and ensure scalability and performance.
Pleased provides customer service software (SaaS) to clients worldwide. The company has a remote development team in Europe with around 30 employees and is expanding, with a fast-moving startup culture that values ownership and collaboration.
Build AI agents that take action: tools, prompts, guardrails, and multi-turn workflows with memory.
Ship the full experience: in-product chat, streaming responses, permission-aware APIs, and MCP server.
Make quality measurable: build evals, catch regressions, and use production feedback to improve quality, latency, and cost.
Muck Rack builds an AI-powered PR platform that helps organizations understand their brand across news, social media, and AI answers. It is a founder-controlled, fully distributed firm trusted by 3,000+ organizations, with an inclusive, customer-first culture.
Design, build, and ship production AI solutions on Anthropic's Claude platform for enterprise clients.
Develop agentic workflows, MCP servers, and RAG pipelines to connect Claude to client data systems.
Work as an individual contributor within a delivery team, partnering directly with client stakeholders to deploy and harden AI solutions.
Collectiv is a boutique consulting and strategy firm specializing in Analytics, Planning, and AI with Power BI and the Microsoft data stack. They help enterprises break free from stagnation and make better decisions, with a culture focused on growth mindset, humility, and active communication.
Design and implement agentic workflows combining LLM reasoning, structured data, and external tools to accelerate new product delivery.
Lead experimentation with multi-step reasoning, RAG, tool orchestration, and emerging paradigms to improve analyst workflows.
Shape Apptopia's long-term AI strategy and core modeling efforts, from AI-native systems to LLM-derived features and ensemble methodologies.
Apptopia provides actionable competitive intelligence to investment firms and financial institutions by estimating worldwide downloads, revenues, and active users for every mobile app, plus app user behavior insights. It's a high-growth startup backed by Mark Cuban and ABS Capital, serving clients like Google, Facebook, and top hedge funds with an intuitive business intelligence tool.