Build solution-ready LLM-enabled applications spanning backend logic, data orchestration, and front-end UI.
Operate in the field, working side-by-side with customers to adapt, deploy, and iterate in live environments.
Codify reusable assets like libraries, prompts, and scaffolds to accelerate future engagements.
ServiceNow is the AI control tower for business reinvention, bringing together any AI, any data, and any workflow to help 85% of the Fortune 500 work smarter, faster, and better. The company fosters an AI-native culture where technology and talent are unstoppable together.
Design and deploy AI agents that automate sales, operations, and support workflows.
Own technical delivery end-to-end, from architecture to production and post-launch improvements.
Work directly with clients to understand workflows and explain technical tradeoffs.
Stello is an AI transformation firm that partners with mid-market and enterprise companies to automate repetitive work with AI agents. They work across sales, operations, and customer support, deploying solutions inside existing client tools.
Own the hardest customer problems end-to-end, driving ambiguous challenges from prototype to production.
Design and deploy AI-powered workflows with appropriate controls for regulated environments.
Serve as a trusted technical advisor and contribute to a compounding knowledge base.
Workiva provides an AI-powered platform that unifies finance, risk, and sustainability on a single secure foundation. The company values meaningful challenges, collaborative teams, and helping organizations turn uncertainty into advantage.
Partner with Account Executives to lead technical engagements and deliver fast AI prototyping.
Design and implement Agentic AI solutions to automate complex industrial workflows.
Bridge field and product, translating deployment learnings into scalable best practices.
Cognite is an industrial AI company building AI and data solutions to solve complex industrial challenges. With an international presence and a culture of ownership and speed, we help drive digital transformation for global industry.
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.
Own customer deployments end to end, working directly with customers to turn business problems into software.
Build automated, normalized pipelines on top of messy real-world supply chain data and shape optimization logic and models.
Wire Atomic into customer systems and partner platforms while building interfaces and AI features for plan analysis.
Atomic is rebuilding the brain behind the American supply chain with an AI-native stack, delivering operations optimization for customers. We're looking for first-principles thinkers who want to write code that drives the physical world and work directly with customers who run it.
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.
Spend ~25% of your time onsite with customers across North America, learning their workflows and constraints.
Own the deployment plan for each customer, setting goals and running the weekly cadence with their leadership.
Build to fill gaps using SQL, Python, or AI coding tools to create reports, dashboards, and lightweight tools.
Realm builds AI for the mining industry, integrating with existing infrastructure to predict equipment failures and optimize safety and productivity. It's a small, senior, fully remote team that ships daily to production mines, with an AI-first culture valuing high agency and autonomy.
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.
Design and implement execution patterns, tool-calling infrastructure, and runtime guardrails for agentic workflows.
Build core services and reusable runtimes to connect LLMs and agents to governed data on Databricks.
Integrate agent workflows into Delta Lake, Unity Catalog, and multi-cloud pipelines across GCP and Azure.
Kinaxis is a global leader in modern supply chain orchestration, providing an AI-infused platform for complex global supply chains. They have over 2000 employees worldwide and are recognized with multiple Top Employer awards for their strong culture and commitment to innovation.
Set the technical direction for AI engineering across the team: agent architecture patterns, evaluation methodology, deployment and monitoring strategies
Design the AI platform layer, including shared agent frameworks, tool integrations, and evaluation infrastructure
Work directly with clients on the most complex engagements, identifying new problem domains and ensuring 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 managing nearly $10 trillion in assets, Addepar fosters a culture of ownership, collaboration, and innovation.
Lead a distributed team of forward deployed engineers across the USA and LATAM, building a culture of trust and shared standards.
Own delivery across multiple client engagements, accountable for scope, quality, timelines, and outcomes.
Be the technical voice with clients, running demos and architecture sessions while staying close to the code.
We are a data, AI and digital engineering consultancy certified across Microsoft, Anthropic, and Databricks, turning AI ambition into working systems. We are a team of outdoor enthusiasts and experienced growth hackers who love solving hard problems and believe the right data can transform and propel growth.
Embed with strategic customers to design and ship bespoke technical solutions on the Synthesia platform.
Own the full build cycle from whiteboard conversations with CTOs to deployed integrations in days.
Bridge engineering and business stakeholders, feeding real-world customer needs into the product roadmap.
Synthesia is the world's leading AI video platform for business, trusted by over 90% of the Fortune 100. Founded in 2017, it's headquartered in London with a $4 billion valuation and a culture of building fast.
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 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.
Build production Agentforce agents including topics, actions, grounding, guardrails, and evaluation harnesses.
Implement actions across Flow, Apex, prompt templates, and external APIs, grounding answers in Data 360.
Design guardrails against prompt injection and data leakage, and run evaluation and regression tests before changes.
AspenView Technology Partners builds high-performing nearshore IT teams for North American clients, focusing on innovation and efficiency. They are a people-first, purpose-driven company that believes great culture drives great outcomes.
Lead and grow the Forward Deployed Engineering team, building a high-trust, async-first culture.
Own the delivery engine: staff engagements, clear blockers, and hold the technical bar across RAG and production deployments.
Partner with Product, Engineering, and Value Engineering to shape scope, share insights, and build reusable patterns.
deepset builds enterprise AI platforms and open-source tools like Haystack to help organizations apply large language models. Founded in 2018 and backed by GV and Balderton, it is remote-first with a culture of trust and ownership.
Scope and prove Sayari fits customer workflows before delivery.
Implement risk screening, graph analytics, and data integrations with Python and SQL.
Keep deployments healthy and build delivery playbooks.
Sayari provides judgment infrastructure for trustworthy AI in economic security and commercial risk, resolving billions of primary-source records. Trusted by government agencies and Fortune 500 enterprises, it has offices in Washington D.C., London, Singapore, Tokyo, and Tel Aviv.
Build AI applications, agents, skills, connectors, and workflow automations that solve business problems.
Translate ambiguous business needs into AI-native workflows and own engineering from discovery to production launch.
Work closely with internal teams to embed AI solutions and drive measurable gains in quality, speed, and cost.
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