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.
Own end-to-end delivery of core data platform components including schema mapping, normalization, and validation pipelines.
Drive technical architecture for an AI-native data warehouse serving institutional financial clients.
Build AI evaluation infrastructure to ensure trustworthy outputs in high-stakes financial data contexts.
Juniper Square is a private market operations platform that unifies technology, data, and fund administration services for over 2,300 GPs. With 1,000+ employees and $350M+ in funding, the company has a founder-led culture focused on ambitious, meaningful work and diverse perspectives.
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.
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.
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 production-grade AI systems that enhance organizational intelligence and operational efficiency.
Collaborate with cross-functional teams to turn ambiguous AI opportunities into safe, measurable product capabilities.
Design and maintain scalable backend services, data pipelines, and human-in-the-loop workflows.
Honor Technology changes how society cares for older adults by providing technology, tools, and services for in-home care. With a global franchise network and over 100,000 Care Pros, Honor delivers 50 million hours of personalized care annually, fostering a culture of compassion and innovation.
Design, build, and deploy AI/ML solutions focused on large language models using Python and AWS.
Architect scalable APIs and microservices with FastAPI and integrate LangChain for advanced model interactions.
Collaborate with cross-functional teams to apply math, statistics, or physics knowledge to improve model performance and reliability.
Our client is a rapidly growing, venture-backed AI company helping shape the next generation of intelligent systems by combining human expertise with machine learning workflows. Backed by over $40 million in funding and a expanding global network, they build critical human intelligence infrastructure for the AI economy.
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.
Design and build secure, scalable systems supporting payments, billing, collections, and ledger management.
Collaborate with Finance, Product, and Engineering leaders to align technical solutions with business objectives.
Mentor senior and staff engineers through architecture reviews and technical guidance.
PadSplit is a company at the forefront of solving the affordable housing crisis. They offer a fully remote working environment and a competitive compensation package with unlimited PTO.
Design and build a next-generation reliability platform for Affirm's production systems, blending distributed systems engineering with AI-assisted development.
Create AI agents and a centralized command center to assist with incident triage, root-cause analysis, and unified system health visualization.
Own projects end-to-end, from requirements to rollout, collaborating with partner teams to build powerful, simple solutions for developers.
Affirm is reinventing credit to make it more honest and friendly, offering consumers the flexibility to buy now and pay later without hidden fees. The company is a remote-first organization with a strong focus on people-first values and inclusive benefits.
Build AI-powered product features integrated into real insurance workflows.
Design and optimize LLM-based interactions for customer and internal systems.
Improve reliability of AI outputs through guardrails, fallback logic, and validation layers.
BJAK is Southeast Asia's largest digital insurance platform, using AI to simplify insurance and financial services for millions of users. The company values technical excellence, speed of execution, and practical decision-making, with a global engineering team that works closely across product, design, and AI teams.
Design and build production-grade AI systems including RAG pipelines, agentic workflows, and LLM integrations.
Own backend services, APIs, and data pipelines end-to-end with Python as the primary language.
Translate ambiguous client requirements into scoped technical decisions and delivery plans.
Provectus is a consulting and professional services firm specializing in AI and ML solutions, serving as an AWS Premier Consulting Partner and strategic partner of Anthropic. They build custom, production-grade AI for global enterprises and operate with a remote-first culture emphasizing autonomy and ownership.
Design and build scalable backend systems powering AI agents in real-time enterprise environments.
Develop agent orchestration frameworks and low-latency inference pipelines integrating LLMs and SLMs.
Build robust APIs and work with cross-functional teams to productionize agentic AI at scale.
Level AI is an AI-native platform that helps enterprises transform contact centers into engines of customer intelligence and operational efficiency. The company is a Series C startup backed by Battery Ventures and ENIAC, based in Mountain View, California, with a globally distributed team.
Design and deliver production AI and agentic systems across document intelligence, workflow automation, and copilots.
Own architecture decisions for LLM-based systems, including retrieval, tool use, orchestration, memory, and evaluation.
Manage evals and observability for production AI, ensuring system accuracy and detecting regressions.
Maxwell is a mortgage technology and fulfillment company on a mission to make lending simpler, faster, and more accessible. It is a remote-first team that takes craft seriously and moves with intention, building a cutting-edge AI company in mortgage technology.
Design and deliver scalable backend systems, APIs, and data solutions using C# .NET, Python, SQL, AWS, and Snowflake.
Develop AI-powered features with LLM technologies including RAG, semantic search, and function calling.
Optimize PostgreSQL databases and establish CI/CD practices for reliable deployment.
Jobgether uses AI-powered matching to review applications and share top-fitting candidates with hiring companies. The platform focuses on efficient, objective candidate evaluation.
Build, deploy, and monitor ChowNow's backend applications using Python and cloud infrastructure.
Collaborate with cross-functional teams to design and deliver high-quality features with emphasis on observability, security, and scalability.
Drive continuous improvement in development processes, CI/CD, and system architecture to support a growing platform.
ChowNow is a restaurant technology platform that helps independent restaurants manage their digital dining experience, including online ordering, branded websites, and marketing. The company supports over 20,000 restaurants across North America and has been recognized as a 'Best Place to Work' with a strong focus on employee experience.
Design and build production-grade LLM-powered agents and workflows for enterprise-scale AI solutions.
Develop and optimize RAG pipelines, agent reasoning patterns, and evaluation frameworks to measure model quality.
Collaborate with Engineering, Product, and cross-functional teams to translate business requirements into impactful AI systems.
Smartsheet builds AI-powered strategic planning and work execution agents through SmartAssist, an intelligent agent platform. The company is a publicly traded, large enterprise with a collaborative, inclusive culture that values diverse perspectives and engineering rigor.
Design, build, and maintain production-grade AI systems and APIs that power our products.
Integrate and fine-tune models (LLMs, embeddings, or other ML architectures) for customer-facing and internal use cases.
Own the full lifecycle of AI features — from research and prototyping to productionization, deployment, and monitoring.
Tiny Health is advancing lifelong health through precision microbiome science, founded in 2020 by microbiome scientists and physicians. They are a small, remote-first startup with a high-performing team focused on experimentation and transparency.