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.
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.
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.
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.
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.
Architect, code, and deploy custom AI agents and automation solutions using Python and frameworks such as LangChain and AutoGen.
Build retrieval augmented generation (RAG) systems with LLMs, PostgreSQL/pgvector, and vector databases for secure data access.
Develop full-stack AI applications with secure APIs, CI/CD pipelines, and monitoring to deliver measurable ROI.
Geotab is a global leader in IoT and connected transportation, providing web-based analytics to help businesses manage fleets. It is a certified Great Place to Work with a fast-paced, inclusive culture.
Develop cutting-edge GenAI solutions incorporating the latest Databricks AI research to solve customer problems.
Own production rollouts of consumer and internally facing GenAI applications.
Serve as a trusted technical advisor to customers across a variety of domains.
Databricks is the Data and AI company, offering a unified platform for data engineering, analytics, and AI. With more than 20,000 customers including 70% of the Fortune 500, Databricks has 30+ offices globally and fosters an inclusive, collaborative culture.
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.
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.
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.
Architect and implement production-ready generative AI and LLM-based solutions within the product suite
Design and develop agentic systems, RAG pipelines, and evaluation workflows to automate tasks and improve reliability
Collaborate with product, design, and engineering teams to turn complex AI concepts into user-facing features
JUPUS is a fast-growing legal tech company in Europe, building the JUPUS platform to improve productivity for law firms. The culture is flat, fully remote, and fast-moving, with direct access to engineering leadership and a focus on practical AI systems.
Lead technical design and delivery of high-impact AI initiatives, including agentic workflows and retrieval systems.
Own projects from concept through production while mentoring engineers and raising engineering standards.
Build production-grade AI systems using LLMs, RAG, and AWS services.
Givzey | Version2.ai is a fully remote, AI-native company that created the Autonomous Fundraising category, deploying Virtual Engagement Officers to help nonprofits scale donor outreach. The company has generated over $20M in fundraising revenue and fosters a culture of technical excellence, mentorship, and ownership.
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.
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.
Building multi-agent systems and implementing agent-based workflows and AI automation solutions.
Developing and optimizing prompt engineering strategies, including evaluation and iteration.
Integrating LLMs and AI models into cloud-based applications and APIs while researching new AI tools.
Software Mind develops impactful software solutions for global companies, partnering with tech giants and unicorns on transformative projects. The company builds cross-functional engineering teams and embraces a culture of openness, respect, grit, and cooperation.
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.
Build speech and text pipelines, LLM workflows, and integrations the client runs on.
Deploy to the client's cloud, instrument what you ship, and fix what breaks.
Write the tests, evals, and docs that keep it working after the engagement ends.
Lunon is an AI-native consulting firm that embeds engineers inside businesses to ship software. The team is young, fast-moving, and owns what they ship end to end, working with the newest tools.
Build at the customer site: write production-quality agents, integrations, and data pipelines on Redpanda ADP inside the customer’s environment and codebase.
Work in unfamiliar territory fast: ramp quickly in new codebases, data environments, and constraints.
Own the technical deliverable from design to handoff, ensuring it is documented, maintainable, and running in production.
Redpanda is the first runtime and control plane for agent-data interaction, combining streaming, SQL analytics, and intelligent connectivity with governance for enterprise AI agents. It is a fast-moving, diverse, people-first organization with team members around the globe, trusted by Fortune 500 companies and startups.
Own AI workflows end to end, from problem definition to production and improvement, for finance processes like invoice-to-payment and reconciliation.
Design and build production-grade LLM-based systems with structured outputs, RAG, validation, and monitoring.
Collaborate with product, backend engineering, and customers while setting technical direction and using AI coding tools daily.
Jeeves is a stablecoin-native banking platform providing corporate cards, payments, treasury, and spend management for global enterprises. With over $5B in annualized volume and backing from top investors, the company is scaling rapidly and values relentlessness and tackling hard problems.