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 using caching, batching, streaming, and routing.
Next Step Systems is an IT recruiting and staffing company that helps businesses hire technology professionals. They operate globally, connecting talent with opportunities in various tech roles.
Build and operate backend systems that serve 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 through caching, batching, streaming, and routing.
BJAK is Southeast Asia's largest digital insurance platform, building AI-powered products that simplify insurance and financial services for millions of users. It operates with a global engineering team that values high ownership, technical excellence, and modern practices.
Design, develop, and deploy production-grade AI-powered backend systems.
Integrate large language models and machine learning models into scalable architectures.
Optimize system performance and implement strong testing practices.
Our partner company is building advanced AI-powered systems to create meaningful customer value. The team operates in a high-autonomy, fast-moving environment focused on production-ready AI solutions.
Design and build scalable backend systems powering AI Agents in real-time enterprise environments.
Develop agent orchestration frameworks including multi-step reasoning, tool usage, and decisioning workflows.
Architect low-latency inference pipelines integrating LLMs, SLMs, and external tools at scale.
Level AI is an AI-native platform that transforms enterprise contact centers into engines of customer intelligence and business growth. Headquartered in Mountain View, CA, as a Series C company backed by Battery Ventures and ENIAC, their team builds agentic AI at scale.
Lead the design and development of production AI systems powering insurance workflow automation.
Architect AI orchestration layers connecting LLMs, backend services, and business workflows.
Own end-to-end AI system design including inference pipelines, routing, caching, and fallback strategies.
BJAK is Southeast Asia's largest digital insurance platform, building AI-powered products that simplify insurance and financial services for millions of users. They use AI and automation to transform real-world insurance workflows and foster a high-ownership culture with small, empowered teams.
Build and own Fundable's core backend including customer-facing APIs, AI microservices, and a workflow builder.
Lead architecture decisions, implementation, and deployment with TypeScript/Node.js or Python, PostgreSQL, and cloud platforms.
Work directly with founders in a high-autonomy role to solve ambiguous problems and ship production systems.
Fundable provides real-time startup data and signals that help growth teams find new startup customers and help investors source their next deals. It is a small, fast-moving team that values high autonomy and an AI-first approach.
Design, develop, and deploy production-grade AI-powered backend systems integrating LLMs and traditional ML models.
Integrate and optimize vector databases for RAG pipelines, and write clean, well-structured Python code.
Debug complex cross-layer issues and collaborate with product and engineering teams to deliver cohesive solutions.
We are a fast-growing product company integrating cutting-edge AI capabilities into our core offering to deliver exceptional value to customers. Our small, fast-moving team works on practical, real-world AI applications with high autonomy.
Ship AI to production by building tool-using LLM agents for grant discovery and drafting, with robust evaluation and observability.
Build trustworthy backends with high-quality, tested code, data pipelines, and reliability practices like alerts and incident response.
Collaborate with Product, Design, and GTM to scope features, run experiments, and raise engineering standards through clear code and reviews.
Instrumentl is a profitable, hypergrowth, YC-backed SaaS platform building the operating system for grant-funded organizations. More than 5,500 nonprofits use Instrumentl to discover, track, and win grant funding, and the company has grown over 40% year over year.
Design and build the backend services that power Operator, a system that helps engineering teams search company knowledge and surface design decisions.
Develop scalable retrieval pipelines, integrate structured and unstructured engineering data, and improve search quality and knowledge retrieval performance.
Collaborate with AI, Product, Design, and Engineering teams to deliver customer-facing capabilities and mentor teammates through code reviews and technical leadership.
CoLab is an AI platform that helps mechanical engineering teams bring life-changing products to market faster by driving stronger engineering decisions. It is a rapidly scaling company recognized on Deloitte's Fast 50 and Fast 500, and named a Canadian company to watch by The Globe and Mail and Financial Post.
Design and build scalable backend services using Python, AWS, and Kubernetes to improve developer productivity.
Lead technical initiatives across the engineering organization with 7–10 years of experience.
Work on production AI/LLM applications and microservices architecture in a fully remote European team.
Codeminders develops cutting-edge software solutions for high-tech companies, focusing on AI, mobile apps, video conferencing, and cloud computing. They collaborate with world-class engineers from the US and Ukraine and uphold strong ethical standards with no business ties to Russia or Belarus.
Design, build, and operate reliable, scalable backend services and data pipelines.
Work across our cloud infrastructure (AWS) to ship and run production systems.
Improve the performance, reliability, and observability of the systems you own.
Allocate is transforming private market investing by enabling RIAs and family offices to seamlessly discover, model, and manage their private market exposure. They are a company that values world-class client experience, challenges convention, and embraces continuous improvement and meritocracy.
Contribute to the design and evolution of Expression's Agentic AI platform, defining scalable architectures for enterprise AI applications and services.
Architect, deliver, and optimize production-grade LLM services, agent workflows, orchestration layers, and retrieval pipelines.
Provide technical leadership and mentorship, guide architecture reviews, and raise the bar for engineering quality across the team.
Expression provides data fusion, analytics, software engineering, and spectrum management solutions to the US DoD and national security community. Founded in 1997 and headquartered in Washington DC, they have a "Perpetual Innovation" culture and were ranked #1 on Washington Technology's Fast 50 in 2018.
Build end-to-end product features across frontend, backend, and AI integrations.
Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps.
Integrate LLMs, memory, and external tools into systems that behave reliably under real-world conditions.
Gina's Tech Jobs is a recruiting agency that connects companies with tech talent. They work with a range of IT positions and focus on helping companies hire for roles like this one.
Build AI-powered investigation tools including Slack bots and agents that analyze support tickets and query production logs.
Develop data infrastructure for ClickHouse analytics, real-time anomaly detection, and platform health monitoring.
Create full-stack internal tooling that bridges data, AI, and the people who need answers.
Reactive Markets is the 2026 OTC Trading Platform of the Year, handling over $50 billion in daily trading volumes across FX, Equities, and Cryptocurrency. Their small, senior engineering team builds cutting-edge, high-performance trading systems and values transparency, honest feedback, and documentation.
Build and operate production-grade model serving infrastructure using vLLM, TGI, or Triton frameworks.
Design and implement auto-scaling, multi-model architectures, and intelligent request routing for ML inference.
Optimize GPU utilization, memory efficiency, and observability to ensure low-latency, cost-effective systems.
They are a distributed cloud infrastructure startup building AI-native cloud services with GPU-powered compute. The company is well-funded, fast-scaling, and operates in a remote-first environment with a focus on sustainability and decentralization.
Build and evolve core AI platform capabilities enabling teams to scale GenAI applications.
Design and implement distributed systems supporting multi-step AI workflows and integrations.
Collaborate across engineering, data science, and product to turn emerging AI use cases into production-ready platform capabilities.
Samsara is the pioneer of the Connected Operations Cloud, providing IoT solutions to improve safety, efficiency, and sustainability for industries like agriculture, construction, and transportation. As a recently public company, it fosters a culture of ownership and high-impact building with a focus on long-term growth.
Design and maintain LLM-powered backend services using Python and FastAPI.
Implement retrieval-augmented generation (RAG) for structured and unstructured fleet data.
Optimize retrieval accuracy, latency, and hallucination rates through automated evaluation pipelines.
Datakrew revolutionizes EV fleet intelligence with IoT and AI solutions. They aim to serve one million EVs within 5 years and cultivate a mission-driven culture.
Participate in sales meetings, provide architectural recommendations, and build proof-of-concept solutions for onboarding high-spending customers.
Troubleshoot and resolve complex technical issues using code analysis, scripting, and log analysis.
Create and maintain technical documentation and deliver training sessions, webinars, and demos.
Runpod is the AI Developer Cloud, providing a platform for over one million developers to experiment, train, fine-tune, deploy, and scale AI. We are a small, remote-first team that takes ownership seriously, moves fast, and ships work relied on by more than a million developers daily.