Build and optimize LLM-powered features for automated recruiting workflows, improving AI agent performance through prompt engineering and safety guardrails.
Design and deliver full-stack features across backend services, Python web apps, and frontend interfaces with enterprise ATS and CRM integrations.
Own end-to-end technical delivery, including architecture, code reviews, testing, and production monitoring, while working directly with enterprise clients.
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.
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 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.
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.
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.
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.
Set technical direction for a new Experience squad, owning architecture and standards across identity, API v3, and agent integration.
Work hands-on across backend (Python/Django) and frontend (React) to deliver a cohesive platform experience.
Build AI-native solutions with LLMs and agent frameworks, driving the shift from feature-driven to agent-led product architecture.
IFS is a billion-dollar enterprise software company with 7,000+ employees worldwide, leveraging AI technology to power award-winning solutions. Our culture is flexible, innovative, and inclusive, with a focus on agility, collaboration, and making a positive global impact.
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.
Own agent quality end-to-end for Bliro's chat and voice agents, including prompting, context, and model evaluation.
Build eval sets, LLM judges, and benchmarks to measure quality, latency, and cost with statistical rigor.
Establish a repeatable process for improving agent quality and set the long-term technology roadmap.
Bliro builds an AI assistant that handles desk work for field sales teams, with over one million customer touchpoints documented. Backed by leading investors and trusted by German Mittelstand companies, it's a small, high-performing team that values ownership and continuous improvement.
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.
Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and about 130 million daily active visitors, it is one of the internet's largest sources of information.
Develop and enhance AI agents, orchestration, and conversational experiences using Python, LangGraph, and LangChain.
Build scalable enterprise AI platforms with observability, monitoring, and performance tracking.
Integrate AI applications with enterprise systems, APIs, and modern agent communication frameworks.
Miratech is a global IT services and consulting company that helps enterprises and startups innovate and transform digitally. With nearly 1,000 professionals across 25+ countries, it fosters a culture of Relentless Performance and has a 99% project success rate.
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.
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 LLM and VLM support on Metis and Europa AIPUs, from studying new models to shipping them in the Voyager SDK.
Use AI coding agents daily to build, test, and verify your work, combining LLM/VLM knowledge with solid software engineering.
Productize results into supported Voyager SDK features with stable APIs, tests, documentation, and release gates.
Axelera AI is a deep-tech company creating the next-generation AI platform to advance humanity and improve the world. They have raised $450M, employ 250+ people (60+ PhDs) across 21 countries, and foster an open, innovative, and inclusive culture.
Contribute to full development lifecycle, implementing features and integrating AI services.
Build and enhance full-stack features using Python, Django, and modern frontend tools.
Work autonomously with a small senior team, managing your workload independently.
A partner company is developing an AI-powered product at the intersection of artificial intelligence and marketing intelligence. They are a small, experienced team with meaningful ownership and short decision-making paths.
Develop and scale an internal agentic AI platform using Python, LangGraph, and MCP.
Collaborate with a Principal Engineer to deliver production-ready AI agents and integrations.
Own the full development lifecycle from design to deployment and continuous improvement.
The company is building an internal AI platform that connects company knowledge, data, and tools in a secure environment. It is a globally distributed, technology-driven team with a collaborative and innovative culture.
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.
Design and build production-grade AI agents with LangGraph to automate multi-step workflows across internal teams.
Deploy and scale agents on Amazon Bedrock AgentCore, ensuring security, reliability, and cost efficiency.
Partner with internal teams to identify high-impact workflows and drive adoption through documentation and training.
Wrapbook is an AI platform for production finance, helping finance teams manage payroll, spend, and accounting for film, TV, and commercial productions. Trusted by teams at Netflix and Paramount, the 350+ person company is backed by major investors and focused on using AI to transform how finance teams work.