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.
Develop and operate production-ready AI and machine learning systems for enterprise-scale products.
Build and optimize LLM-powered applications, RAG pipelines, and intelligent agents.
Implement software engineering best practices for AI development including CI/CD and testing.
Our partner is building enterprise-grade AI solutions that deliver measurable business impact. They offer a remote-friendly work environment with a collaborative engineering culture focused on innovation, quality, and continuous learning.
Design, build, and maintain AI-powered features like LLM integrations and RAG pipelines.
Contribute to tooling for AI reliability, including observability and monitoring.
Prototype solutions quickly and work with peers to harden them for production.
Homeward creates financial products that remove uncertainty from homebuying. As a remote-first real estate startup with about 200 employees, we value the Golden Rule, One Team One Dream, and Calm Focus.
Design, build, and deploy production AI applications, copilots, retrieval systems, and agentic workflows.
Develop backend services, APIs, and application architectures integrating AI capabilities into enterprise systems.
Deploy AI solutions with security, observability, monitoring, evaluation, and governance.
Aimpoint Digital is a data, AI, analytics, and operations research advisory and solution engineering firm that helps organizations design and deploy enterprise-grade AI platforms and production applications. The company is a technical partner focused on moving beyond experimentation, emphasizing strong engineering discipline and scalable architecture.
Design, build, and deploy AI-powered solutions connecting Remote’s platform to customer systems and workflows.
Work at the frontier of practical AI, shipping reliable, observable, and secure systems in production.
Own customer outcomes from discovery through production rollout with high autonomy and direct influence on product roadmap.
Remote is a global HR platform that helps businesses recruit, pay, and manage international teams compliantly. The company fosters a future-focused, async culture with team members across 6 continents and emphasizes innovation, automation, and AI.
Partner with enterprise clients to understand challenges and design robust technical solutions, from APIs to AI workflows.
Own production deployments ensuring reliability, observability, and continuous improvement of delivered systems.
Build AI-enabled systems using LLMs and agentic workflows while collaborating across Product, Engineering, and Sales teams.
Our partner is a company focused on deploying AI and enterprise integrations at scale. They operate in a remote-first, high-trust environment with a focus on practical AI deployment.
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.
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.
Build multi-agent AI systems and automation platforms for Marketing Operations at scale.
Design and implement LLM integrations, backend services, and agentic workflows.
Partner with cross-functional teams to identify high-impact automation problems and ship measurable solutions.
Grafana Labs is the company behind the open observability cloud, offering a fully managed platform with AI capabilities to help organizations monitor and optimize their systems. With over 1,600 team members across 40+ countries and backed by top investors, we maintain a 100% remote, collaborative culture rooted in open source and innovation.
Lead AI innovation by researching and prototyping solutions using LLMs and Computer Vision for complex data extraction.
Architect scalable, cost-effective AI services and data processing pipelines for processing millions of documents daily.
Act as a force multiplier by mentoring engineering teams and driving mission-critical initiatives to production.
AlphaSense provides AI-driven market intelligence and search to help companies make informed decisions. Founded in 2011, it employs over 2,000 people globally and is trusted by over 6,000 enterprise customers, including a majority of the S&P 500.
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.
Provide technical leadership and mentorship to junior engineers on the Applied AI team.
Design and implement scalable architectures for LLM-based applications, including agents and vector databases.
Develop evaluation pipelines and prototype components to validate AI product concepts.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They prioritize fair and efficient recruitment, fostering an inclusive and diversity-driven workplace culture.
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.
Design and build LLM-powered AI components for internal tools and user-facing applications.
Develop systems for data retrieval, embeddings, and intelligent automation workflows.
Collaborate with cross-functional teams on AI use cases and contribute to technical vision.
Jobgether powers job matching using AI to connect candidates with opportunities. They emphasize a remote-first, collaborative culture with high autonomy and flat structure.
Evaluate and select cutting-edge AI models to enhance product capabilities and user experience.
Design evaluation frameworks and configure observability for AI performance in production.
Collaborate with data science, CTO, and engineering teams to fine-tune and integrate AI models.
Vetcove modernizes veterinary software and pet healthcare with a procurement marketplace, home delivery ecommerce, and practice management system. Over 25,000 hospitals across all 50 states use the platform daily, and the company is backed by Y Combinator and top venture investors.
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.
Lead complex AI engineering workstreams across multiple business areas and stakeholder groups.
Design and build AI-powered applications using LLMs, agents, and modern architectures.
Establish best practices for prompt engineering, API integrations, and code quality.
The partner company focuses on designing and delivering advanced AI solutions that help organizations transform business processes and create measurable value. It offers a collaborative and inclusive culture with opportunities for career growth and international mobility.
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.