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.
Inallmedia.com is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams. They partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation.
Partner with business units to identify high-value AI use cases and deploy solutions.
Design, develop, and deploy full-stack AI systems that deliver measurable impact.
Drive adoption by working directly with stakeholders and codifying patterns into reusable tools.
Nortal is a digital transformation company that delivers complex solutions for global enterprises and public sector organizations. With over 25 years of experience, they foster a culture of autonomy, open communication, and work-life balance.
Build and evolve Superhuman Mail's MCP layer with new tools and standards.
Design and ship agentic workflows and personalization features at scale.
Build evaluation systems that measure quality and catch regressions as AI changes.
Superhuman is an AI productivity platform integrating with over 1 million apps to eliminate busywork. Founded in 2009, it empowers 40 million people and 50,000 organizations with a tight-knit, collaborative culture.
Design, develop, and maintain AI-powered software solutions across the full development lifecycle.
Work with backend stacks like Python, Node.js, .NET, and Java, plus modern frontend frameworks such as React or Angular.
Build and integrate AI agents, RAG pipelines, and LLM-driven products into production environments.
Cresteo is a nearshore tech services company on a mission to be the world leader in people-first and honest software development. Our small, high-trust team values transparency, profit-sharing, and fearless innovation while working with US-based clients and international teams.
Own support and adoption for enterprise AI platforms, from onboarding to vendor escalations.
Build custom integrations, Slackbots, and agents connecting AI tools to internal workflows.
Manage incoming AI use-case requests while keeping stakeholders updated.
Nortal builds AI and data systems for global enterprises and public institutions. For over 25 years, it has fostered an autonomous, no-micromanagement culture with about 160 hires a year.
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.
Design and build rigorous Terminal-Bench tasks to test LLM capabilities in multilingual software engineering and terminal workflows.
Create realistic task environments with datasets and files in your native language to measure multilingual robustness without English translation crutches.
Support reference solutions, write deterministic verifier scripts, and calibrate task difficulty across varied model tiers.
LILT provides AI-powered multilingual translation and language services for enterprises, governments, and AI developers. It is a global community of linguists and software engineers focused on innovation and human-verified AI solutions.
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 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.
Combine hands-on AI engineering with platform support to ensure teams can effectively use approved AI tools and internal solutions.
Monitor platform health, usage, and adoption, ensuring AI tools remain reliable and effective for business teams.
Design, build, and maintain custom integrations, Slackbots, and AI agents that connect enterprise AI tools with internal content, systems, and workflows.
The partner company distributes AI platforms across international organizations, focusing on security and IT. It operates with a small distributed LATAM team and supports US-based clients, offering a collaborative remote environment.
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.
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.
Own technical deployments of fonio's AI phone agents for the French market.
Translate customer requirements into production-ready implementations and integrations.
Work closely with Product, Engineering, and Go-to-Market for fast, stable rollouts.
Fonio is Europe’s market leader for AI phone agents for small and medium businesses. They grew from $1M to $10M ARR in under 12 months, serve 10,000+ customers, and foster a fast-moving, direct, and ownership-driven culture.
Design and deploy AI-powered agents and automations to streamline workflows across Product, Marketing, and Design teams.
Translate non-technical requirements into scalable, production-ready technical solutions.
Own projects end-to-end from discovery to adoption, with rapid prototyping and measurable impact.
This company builds AI-powered automation tools to streamline workflows for product, marketing, and design teams. Operating as a fully remote, async-first organization, it emphasizes high ownership, autonomy, and continuous learning.
Own full-cycle technical recruitment for AI/ML and engineering roles, from intake to offer.
Design and execute sourcing strategies to find senior and principal AI talent beyond LinkedIn.
Use AI tools and recruiting data to optimize processes and improve search efficiency.
Able builds technology products in a portfolio model across industries, applying AI to deliver software faster and create value for partners. It is a small, evolving team with an ambitious builder mindset, investing in people and fostering collaboration.
Lead the technical design and implementation of AI-powered features from concept to production.
Own end-to-end architecture for AI solutions, including data flows, model integration, APIs, and application integration.
Act as the technical lead for a cross-functional AI Pod, guiding rapid iteration cycles and production readiness.
Enumerate is a technology company developing AI-driven product features and solutions. It operates with cross-functional AI pods and a data science team, fostering a fast-moving, iterative, and collaborative remote culture.
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.
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.
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.