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 reliable data pipelines in Python on AWS.
Build and maintain backend services and APIs using Django and FastAPI.
Take end-to-end ownership of assigned work, including design, testing, code reviews, releases and production support.
Smart Working connects skilled professionals with global teams for full-time remote roles, aiming to break down geographic barriers. It fosters a remote-first community focused on growth and well-being, and is rated highly on Glassdoor.
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 operate Python/Django services for repairs, payments, messaging, notifications, and fraud prevention.
Work in cross-functional product teams using AI-assisted, spec-driven development from design through delivery.
Ensure reliability and data integrity through automated testing, observability, security, and incident response.
Plentific is a property technology platform for housing providers, local authorities, and contractors in the UK and Germany. We are a growing London-headquartered team working across Europe to expand the platform and integrate AI.
Own and deliver quarterly technical goals for the Communications area.
Design reliable backend services for high-volume, multi-region messaging infrastructure.
Collaborate with engineering partners and support on-call operations.
Affirm builds honest financial products that give people a clear, predictable way to pay over time with no hidden fees. It is a remote-first company focused on reliable, performant, and scalable engineering solutions.
Build and operate production-grade agentic AI workflows for customer experience operations.
Develop MCP servers, secure integrations, and shared platform capabilities on AWS.
Establish evaluation, observability, and governance practices for reliable AI systems.
A technology company focused on integrating AI-powered workflows into customer experience operations. They foster a collaborative, inclusive remote culture emphasizing production-grade engineering, rapid prototyping, and mentorship.
Design, build, and ship production agents end to end, including tools, prompts, context assembly, and frontend experiences.
Maintain evaluations and instrument production to measure acceptance, latency, and cost per agent.
Work with founders, product, and design to solve ambiguous engineering problems across the full stack.
Relativity is a legal data intelligence company building AI-powered software for litigation and investigations. Gavel is a small, founder-led team within Relativity focused on Word-based legal drafting, with a collaborative and innovative culture.
Design and develop scalable backend services and APIs using Python and modern frameworks.
Build efficient solutions for large-scale data processing, transformation, and aggregation.
Collaborate with cross-functional teams to solve complex technical and performance issues.
Ciklum is a global software engineering and technology consulting company that empowers organizations to build digital products and shape the future. We are a diverse team of professionals who thrive in a collaborative, lean, and fast-paced environment.
Lead the design and delivery of complex, multi-component features and systems for Development Infrastructure.
Develop and maintain CI/CD tools, Docker images, and build/deploy pipelines.
Take ownership of on-call issues and coach engineers through the software development lifecycle.
Abnormal protects organizations from AI-powered cybercrime with a behavioral AI platform. 5,000 enterprises trust the platform, and the team values collaboration, continuous learning, and engineering excellence.
Implement multi-step agent workflows and tool-calling flows using frameworks like LangGraph.
Connect LLMs to APIs, databases, and third-party tools to build production-grade AI.
Build and optimize RAG pipelines with vector databases and implement AI safeguards.
Sopra Steria Bulgaria is part of the Sopra Steria Group, a top European technology consulting company serving the DACH region. The culture emphasizes collaboration, knowledge sharing, and continuous learning in international teams.
Design, build and operate production AI agents, including an autonomous coding agent that works from Jira and Slack, opening PRs and fixing CI failures.
Build the retrieval and context layer behind our AI brain: embeddings, semantic search, knowledge-graph modeling, and integration with Snowflake and internal docs.
Harden agents against prompt injection and over-broad permissions, and drive cost and latency down using caching and structured outputs.
Weedmaps is a global leader in the cannabis industry, providing a platform for consumers and businesses. The company has a collaborative culture focused on innovation and community, serving the U.S. and worldwide.
Build and scale automated data pipelines across analytics, legal, and commissions.
Integrate CRM, billing, and finance systems using custom APIs and data pipelines.
Ship and maintain internal applications and deploy containerized AWS services.
LeanTaaS builds AI-powered software that helps hospitals optimize capacity by reducing wait times and costs. With over $300 million in funding from top investors, the company serves more than 190 health systems and employs a culture focused on innovation and operational excellence.
Turn internal apps prototyped in Lovable into secure, production-grade services on Google Cloud Run.
Build backends, middle layers, and data feeds connecting business systems to canonical data and planning tools.
Own security, automate reporting, and document work for maintainability while explaining trade-offs to stakeholders.
Software Mind develops impactful software solutions for companies around the globe. Their culture embraces openness, respect, grit, and combines delivering results with enjoyment.
Design, develop, and maintain scalable web applications using Python and ReactJS.
Build and optimize APIs, databases, and AWS infrastructure for enterprise workloads.
Lead feature delivery end-to-end and mentor engineers in a remote, product-led environment.
The company builds innovative SaaS products that power digital ordering experiences for leading restaurant brands worldwide. It operates as a globally distributed, product-led engineering organization that values technical leadership, continuous improvement, and innovation.
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.
Develop high-performance, scalable web and task servers using Python and frameworks such as Django, Flask, or FastAPI.
Integrate AI and machine learning capabilities, including LLMs and numerical analysis, into web and task-processing services.
Design REST APIs, work with microservices and cloud platforms, and mentor junior engineers while owning technical architecture.
The hiring company specializes in building scalable, high-performance backend systems and integrating AI technologies into production. While team size is not disclosed, the culture emphasizes collaboration, mentorship, and continuous professional growth.
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.
Lead the design, implementation, deployment, and operation of complex platform capabilities supporting the machine-learning lifecycle.
Build reusable platform components, standards, and automation while improving reliability, scalability, and observability across ML systems.
Partner with Data Science, Product, Risk, Fraud, and Engineering teams to translate ambiguous business needs into practical technical solutions.
Oportun is a mission-driven financial services company that helps members build a better financial future through intelligent borrowing, savings, and budgeting. The company has provided over $22.7 billion in responsible credit and its culture emphasizes speed, high standards, and the thoughtful use of AI.
Build and maintain AI agents using large language models to complete multi-step tasks within Cayuse products.
Develop and extend MCP servers and integrate AI features into existing applications through platform APIs.
Write unit and integration tests, participate in code reviews, and ship code through CI/CD pipelines.
Cayuse provides integrated technology solutions that empower organizations to conduct globally connected research, advancing impact in science and discovery. The company is a team of highly skilled, multidisciplinary professionals building a remote-first culture with a focus on customer and employee values.
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.