Design, develop, and deploy production-grade AI-powered backend systems.
Integrate LLMs and traditional ML models into performant, scalable architectures.
Write clean, well-structured, and testable Python code following best practices.
NovoEd is a fast-growing product company integrating cutting-edge AI capabilities into its core offering to stay competitive and deliver exceptional value to customers. It is a small, fast-moving team with high autonomy.
Design and build Model Context Protocol (MCP) servers and integrations to expose data sources to AI assistants.
Develop document-processing pipelines for RAG, including parsing, chunking, metadata tagging, and embeddings.
Provision AWS infrastructure as code with Terraform and ship production-grade backend services.
Coderio designs and delivers scalable digital solutions for global companies, combining technical expertise with a product mindset. It is a remote-first company that values autonomy, clear communication, and long-term partnerships.
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.
Work with ML and frontend engineers to bring agents into production
Cut latency and raise reliability on high-volume services
They are a late-stage, venture-backed enterprise AI company building AI agents that talk to people in real time. Their culture focuses on latency and reliability as core product features, with engineering teams owning high-volume services end to end.
Build the Agent Control Plane for an AI-native cybersecurity platform, enabling customers to run and manage fleets of AI agents.
Design and deliver Python services with FastAPI and Flask for security detection, investigation, and AI-assisted resolution.
Take end-to-end ownership of projects, engaging directly with customers and using AI agents to learn and deliver high-impact solutions.
Smart Working breaks down geographic barriers and connects skilled professionals with global teams for full-time remote roles. It is a remote-first community and one of the highest-rated workplaces on Glassdoor.
Design, build, and maintain scalable backend systems using Python and frameworks like FastAPI, Flask, or Django.
Develop and implement APIs that integrate AI models, vector databases, embedding services, and internal systems.
Take end-to-end ownership of backend systems from architecture and deployment to monitoring and optimization.
They build scalable backend systems that power advanced AI and Generative AI applications for enterprise customers. They work as an international remote team that values autonomy, innovation, and continuous improvement.
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.
Design and build the gateway, runtime, and evals services for AI workloads at scale.
Own technical decisions from design to launch, including identity, quota, and failover controls.
Partner with security and infrastructure teams to set guardrails for agentic workloads.
We provide clear, predictable pay-over-time financial products with no hidden fees. We are a remote-first company with an engineering culture centered on blameless postmortems and detailed technical design.
Build the platform that powers AI across a portfolio of products used by 130,000+ businesses.
Design reliable agent workflows, retrieval engines, and cost controls for production AI.
Work across the full stack from agent runtime to user interfaces, mentoring others and shaping technical direction.
Xplor Technologies powers everyday experiences through vertical software, embedded payments, and AI capabilities. The company serves over 130,000 businesses across fitness, recreation, and other industries, fostering a culture of innovation and collaboration.
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.
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.
Design, build, and maintain Python applications, backend services, RESTful APIs, and microservices.
Own production software from design through deployment, including LLM integration and RAG architectures.
Collaborate with product, QA, and DevOps to deliver reliable, scalable features.
JBS builds backend applications, APIs, and AI-enabled software for clients. The company is fully remote and fosters a collaborative, cross-functional team culture.
Build AI-first SaaS products, including LLM-powered workflows, retrieval over compliance content, and in-product agents.
Develop and optimize agentic, pipeline-driven development systems where AI coding agents plan, write, test, and review code under strong engineering oversight.
Maintain high engineering standards with secure, tested, scalable solutions and participate in on-call rotation.
Mitratech builds world-class software products that simplify operations in Legal, Risk, Compliance, and HR functions. With over 35 years of expertise, the company serves 20,000 client companies globally, including 30% of the Fortune 500, and fosters a diverse, inclusive culture that blends entrepreneurial spirit with enterprise investment.
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.
Design, develop, and maintain scalable data and application services supporting AI-driven solutions
Build and maintain workflow orchestration, integration, and automation capabilities across enterprise platforms
Develop and optimize backend services, APIs, and microservices using modern cloud-native architectures
NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing content across film, television, streaming, and theme parks. We are a subsidiary of Comcast Corporation and foster an inclusive culture with a diverse workforce.
Design and develop reliable backend services and REST APIs using Python and FastAPI.
Build and maintain microservices, manage asynchronous tasks with Celery, and integrate with Azure.
Work with SQLAlchemy, relational databases, and Kubernetes in a collaborative environment.
Applaudo is an AI-native organization that designs, builds, and scales meaningful, AI-powered solutions for real business impact. They collaborate across design, development, cloud, data, and AI to transform operations. The culture is high-performance, grounded in empowerment, teamwork, respect, transparency, and communication.
Design and develop scalable backend applications, APIs, and services powering WIN's digital products and AI platforms.
Build agentic AI capabilities, orchestrate LLMs, and automate complex business processes through intelligent workflows.
Integrate internal and external systems using Python, REST APIs, webhooks, and MCP while ensuring reliability and scalability.
WIN is the #1 ranked inspection services company in the United States, transforming the $700 billion U.S. home services industry through cutting-edge technology and AI-driven innovation. Backed by 35 years of excellence, the company combines established leadership with a high-energy, collaborative culture that values ownership, innovation, and professional growth.
Architect, code, and deploy custom AI agents and automation solutions using Python and frameworks such as LangChain and AutoGen.
Build retrieval augmented generation (RAG) systems with LLMs, PostgreSQL/pgvector, and vector databases for secure data access.
Develop full-stack AI applications with secure APIs, CI/CD pipelines, and monitoring to deliver measurable ROI.
Geotab is a global leader in IoT and connected transportation, providing web-based analytics to help businesses manage fleets. It is a certified Great Place to Work with a fast-paced, inclusive culture.
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.
Provide hands-on technical leadership for building open-source infrastructure supporting federated AI and privacy-preserving technologies.
Lead architectural decisions, production readiness, and engineering best practices for a specialized squad.
Mentor engineers and collaborate with product leadership to deliver scalable, secure, and maintainable systems.
The company is a mission-driven nonprofit building open-source infrastructure for federated AI and privacy-preserving technologies. It operates as a remote-first, globally distributed team with a highly collaborative, diverse culture.