Pick the right model for each job, from frontier APIs to open-weight models, and know when fine-tuning beats a better prompt.
Build evaluation harnesses and benchmarks that tell us whether a change made things better, then take models to serving and tune cost, latency, and quality.
Sit with the client's team, find where AI moves their numbers, and say no to work that won't pay back.
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.
Fine-tune open-weight LLMs using SFT, LoRA/QLoRA, and post-training methods such as DPO and GRPO to shape model behavior for 50M+ users.
Diagnose model failures and turn them into experiments, building training data and evals that directly influence production models.
Ship to production, speed up the training loop, and collaborate with Product, Web, and DevOps teams.
EverAI is building the world's largest AI companionship platform, redefining relationships for millions. With ~100 people, it's a fully remote, hardworking team with an ownership-driven culture and a track record of scaling products from 0 to IPO.
Design and ship features end to end across data model, API, background workers, and UI.
Build and improve agent and model evaluation: sandboxed trials, scoring, and trustworthy aggregation of thousands of runs.
Improve benchmark task quality checks, integrate new models and agents, and keep the system fast and reliable as usage grows.
Turing accelerates superintelligence by providing high-quality datasets, reinforcement learning environments, and research benchmarks to frontier AI labs, and also deploys agentic AI systems for Fortune 500 enterprises. Headquartered in San Francisco, it operates with startup speed and an AI-forward culture.
Build evaluations to measure and improve AI reasoning in complex, high-stakes decisions.
Collaborate with engineers, product, and domain experts to turn observed failures into testable improvements.
Own the quality of shipped systems, from code reviews to monitoring and integration.
Elicit builds AI systems that help research and business teams make evidence-based decisions on high-stakes questions. They are a remote-friendly, collaborative team that values rigorous thinking, experimentation, and in-person retreats.
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 repeatable benchmarks and evaluation pipelines for model accuracy, hallucinations, retrieval quality, latency, and cost.
Turn research prototypes into production retrieval, drafting, document, and agent workflows.
Develop backend services, APIs, and internal tools to support testing and releases.
They are a healthtech company building dependable AI products for legal work. Their team is product-focused and works remotely across the United States.
Own the context layer: manage what Mimo knows, when, and at what cost, with retrieval and memory as one budget.
Define tool contracts and build evaluation practice: schemas, results, failure modes, and regression gates for every change.
Shape how Mimo reasons, asks, explains, and recovers, and decide which model runs where.
MimoLabs builds Mimo, an agentic system for making physical things, from design to production across 3D printing, CNC, and laser cutting. We are a small, VC-funded, experienced team based in Detroit and remote across the US, fast, adaptable, and honest.
Own optimization of the inference stack: throughput, latency, cold starts, and cost per token.
Tune SGLang/vLLM engines, cut TTFT, boost KV cache reuse, and kill cold starts on 1.5 TB checkpoints.
Set technical direction with data, benchmark every change, and scale inference across nodes.
Kimchi is an LLM inference platform serving open models like DeepSeek and GLM from its own GPU fleet via one API line. It's made by CAST AI, a globally distributed team across 34 countries that hit unicorn status in 2026.
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.
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.
Develop, fine-tune, and optimize self-hosted large language models for personalized AI conversations.
Work across the full model development lifecycle, from dataset preparation to GPU-based experiments and production deployment.
Collaborate with cross-functional teams to enhance conversational quality, memory, and multilingual interactions.
This company builds innovative consumer-facing AI products powered by self-hosted large language models. They operate a remote-first culture across Europe, emphasizing collaboration, continuous learning, and technical excellence.
Learn, maintain, and improve our synthetic data pipeline and automated training system.
Take over a model and improve it with an agent loop that generates its own data.
Build closed loops where agents train detectors, test against validation sets, and improve with little human input.
CVEDIA builds computer vision models and applications that run on server and edge hardware using synthetic data. We are a small, fully remote team that uses AI agents across the company.
Build shared SDKs, APIs, and infrastructure for AI features and agentic workflows.
Integrate durable execution infrastructure for long-running agent workflows, including checkpointing, retries, and human-in-the-loop steps.
Develop evaluation and debugging tools that turn production failures into measurable improvements and regression coverage.
Vanta helps businesses automate security monitoring and demonstrate trust through compliance with standards like SOC 2, HIPAA, and ISO 27001. Founded in 2018, it has a kind, talented team and thousands of customers worldwide.
Build, train, and evaluate machine learning models end to end, from data and experiment design through training and reporting.
Design reinforcement learning environments, reward functions, and verifiers, and fine-tune language models using methods like PPO, DPO, and GRPO.
Collaborate with domain experts, analyze datasets, and present findings clearly to both technical and non-technical audiences.
EnableComp provides specialty revenue cycle management solutions for healthcare organizations using its unified E360 RCM platform. It is a multi-year Top Workplaces recipient and has been named to the Inc. 5000 list of fastest-growing private companies for eleven years.
Build tools for understanding traces, evaluating agent behavior, and turning results into improvements.
Run experiments on Mastra's primitives to find where they fall short and improve configuration and behavior.
Help turn findings into capabilities developers can use in their own applications.
Mastra is the open-source TypeScript framework for building AI agents. We're a small, fully remote team backed by Y Combinator and Spark Capital with $35M raised.
Partner with the founding AE as the technical owner on every active North America opportunity.
Run technical discovery, design and drive POCs and benchmarks that prove Featherless against incumbent solutions.
Build the demo environment, reusable technical collateral, and the sales engineering function from scratch.
Featherless.ai builds a reliable open-model inference platform offering instant access to 40,000+ open-source AI models. Backed by AMD and top venture funds, this well-funded team of researchers and engineers is democratizing AI through performance and accessibility.
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 multi-step LLM systems for reasoning, retrieval, planning, and tool use.
Own evaluation from offline benchmarks to online experiments and model-graded review.
Set quality, latency, and cost targets, and mentor senior engineers.
They build enterprise AI systems, specifically agent systems for large customers. As a late-stage, venture-backed company, they focus on shipping reliable AI to enterprise clients.
Design, build, and deploy AI agents that automate real business processes.
Integrate LLMs from OpenAI, Gemini, Anthropic, and open-source models into products.
Own delivery end-to-end, from prototype to production, choosing the right LLM/tooling.
We are a software development agency based in Vilnius, Lithuania, building production-ready AI and software solutions. Our team works remotely across the EU/EEA, with a focus on independent, fast-moving delivery.