Build LLM-based agents on the platform's scaffolding, integrating tool calls, internal APIs, and guardrails.
Take agents to production on AWS with containers, CI/CD, secrets, permissions, and security controls.
Define and run evals, monitor with Langfuse, and document runbooks for independent operation.
Muttdata builds innovative Data Products and Machine Learning solutions to help companies solve complex business challenges. It is a fast-growing, remote-first startup that values collaboration, continuous learning, and a positive, ownership-driven culture.
Design, build, and maintain infrastructure for training, fine-tuning, and serving large language models.
Deploy and scale LLM inference services, manage GPU compute, and optimize workload scheduling and utilization.
Automate deployment workflows with infrastructure-as-code and CI/CD, and collaborate with ML engineers to move models to production.
Hire Hangar connects top talent with vetted employers and offers competitive pay and real growth opportunities. It focuses on matching remote contractors with fast-growing global companies.
Architect AI infrastructure including backend services, data pipelines, and orchestration workflows for LLMs.
Write production-grade, high-performance code for high-throughput AI workflows and data-driven systems.
Integrate foundational models, vector data stores, and cloud microservices into scalable platform components.
Korza builds AI infrastructure and products, specializing in LLM and agent-based systems. The company emphasizes cross-functional collaboration and rapid shipping of cutting-edge AI capabilities.
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.
Build reliable APIs, backend services, and document processing workflows for legal work.
Take product features from design through release, collaborating with engineering and legal teams.
Integrate AI capabilities into practical workflows with attention to quality, speed, and reliability.
The company builds software for complex legal document workflows, focusing on reliability and practical tools. The team partners with engineers and legal domain experts, emphasizing collaboration, code quality, and dependable behavior.
Build and operate backend systems serving AI-powered insurance workflows in production.
Design and implement AI orchestration layers connecting models, APIs, workflows, and business logic.
Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing).
We are a platform that leverages AI for decisioning, automation, and orchestration. We are a global engineering team working across multiple countries to build reliable, scalable AI systems.
Take deep ownership of key systems and product areas, becoming the technical expert and primary point of reference.
Architect, build, and maintain highly available and scalable REST APIs and backend services.
Use agentic development workflows and AI coding tools as standard engineering practice.
This partner company builds an AI-driven e-commerce messaging platform powered by customer context and data. It is a high-growth, remote-first environment with a collaborative and supportive culture.
Build foundational platform services for AI products, including user management, authentication, permissions, and resource access.
Own full-stack features end to end, from backend APIs to customer-facing dashboards and internal tools.
Work remotely with technical autonomy, collaborating across engineering and product teams on scalable systems.
They build foundational systems that power a suite of innovative AI products used by millions worldwide. They are a high-growth, AI-first engineering organization with an autonomous, low-bureaucracy culture.
Build and ship LLM-powered applications and AI agent workflows.
Design systems for reasoning, planning, memory, tool use, and multi-step execution.
Optimize AI systems for quality, latency, and cost, and establish production practices for observability and evaluation.
Gina's Tech Jobs is a technology recruiting firm that connects companies with engineering and IT professionals. They focus on remote and onsite placements, offering personalized recruitment services and career support.
Build reliable APIs, backend services, and document processing workflows.
Integrate AI capabilities into production workflows with focus on quality and speed.
Improve interfaces for complex document tasks and collaborate across the stack.
The company builds software for complex, document-intensive workflows, focusing on reliability and practical AI integration. The team includes engineers and domain experts working closely to deliver product features.
Develop the architecture and infrastructure needed to scale the product to a large user base.
Build and operate the agent runtime, including orchestration, memory, verification, and supporting systems.
Take projects end to end across backend, infrastructure, frontend, and AI agents.
They are an early-stage AI infrastructure startup building scalable infrastructure for AI-powered service businesses. As the first engineer, you'll work directly with the founder in a fast-moving, ownership-driven culture.
Owns the architectural direction for Code Metal's AI platform and the team building it.
Builds production-grade inference serving, model gateways, agent harnesses, and context-engineering services.
Instruments the stack end to end and drives experimentation and observability for reliable AI systems.
Code Metal provides automated software engineering using AI and formal verification to produce provably correct code. Founded in 2023 and backed by Accel, Salesforce Ventures, and others, it serves defense and enterprise customers from offices in Boston and San Francisco.
Take deep ownership of systems and product areas, becoming the go-to technical expert for what you own.
Architect, build, and maintain highly available, scalable REST APIs and backend services across distributed systems.
Build agentically with AI coding tools, staying at the forefront of emerging AI tooling and practices.
Postscript is an AI messaging platform for Shopify brands, helping e-commerce marketers drive revenue through SMS marketing and AI features. Backed by Greylock and Y Combinator, the company has been fully remote since 2018 and serves 20,000+ Shopify brands with a culture of ownership and AI-first development.
Build and maintain TypeScript and Python backend services and REST APIs.
Design batch data pipelines and build LLM features end to end, including prompts, retrieval, structured outputs, and evaluation.
Containerize, deploy, and monitor services in the cloud while collaborating with cross-functional partners to ship in small increments.
CrowdHealth is a community-powered alternative to health insurance, enabling individuals to access and fund healthcare with transparency, simplicity, and control. It is a small, mission-driven team focused on rewriting the rules of healthcare and helping members live boldly without the fear of medical bills.
You will build and evolve AI-powered full-stack products improving physician and patient healthcare experiences.
You will own technical initiatives end-to-end, from architecture through deployment and production support.
You will collaborate with Product, UX, and QA to integrate AI and LLMs into reliable software.
Our partner builds AI-powered product experiences that help physicians deliver care and patients access healthcare. Their distributed, fully remote culture is collaborative and inclusive, emphasizing technical ownership, mentorship, and continuous improvement.
Work directly with operations, finance, clinical, and business teams to identify bottlenecks and design practical AI-driven solutions.
Build automations, dashboards, and lightweight internal applications using Python, SQL, APIs, and low-code tools.
Own projects end-to-end from problem discovery to deployment, delivering measurable business impact.
Urrly is a healthcare technology company that uses AI to improve operational efficiency and accuracy. It emphasizes fairness in hiring, using AI to review applications based solely on job-related factors.
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.
Guide architectural decisions across products, reviewing solutions from internal teams and vendors.
Establish shared engineering standards and modernise legacy systems for reliability and cost-effectiveness.
Define guardrails for production LLM systems and collaborate with teams on Kubernetes and cloud infrastructure.
INFUSE is a technology company that develops software products, including AI and LLM-based solutions, across a large engineering landscape. Its software department spans 500+ repositories and fosters a remote-first culture with access to cutting-edge AI tools and human-centric values.
Build production AI and agentic workflows end to end, from PRD and architecture through implementation, evaluation, and iteration.
Own the retrieval stack, model selection, and evaluation harness to ensure measurable quality, latency, and cost.
Design and maintain a reusable component library and set engineering standards for the CoE and partner teams.
QAD | Redzone builds an intelligent manufacturing and supply chain platform that connects people, processes, and data into a single System of Action. It fosters a collaborative culture of smart, hard-working people who support one another and prioritize diversity, equity, and inclusion.
Lead the engineering foundation behind reliable, measurable, and scalable AI-powered features.
Build evaluation frameworks, observability tooling, and diagnostic infrastructure for AI agents in production.
Combine hands-on software engineering with technical leadership and people management.
The company builds AI-powered products with a focus on reliability, scalability, and evaluation infrastructure. It operates as a fully remote, globally distributed team with an ownership-oriented culture.