Architect and ship new backend capabilities that integrate AI-adjacent functionality into Kraken’s core systems.
Design distributed services that meet high standards for reliability, performance, and correctness.
Own end-to-end technical design, from protocol and service boundaries through production deployment.
Kraken is a mission-focused company rooted in crypto values. It aims to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. As a fully remote company, Kraken has Krakenites in 70+ countries who speak over 50 languages.
Own model serving: Design, build, and maintain low-latency, highly-available serving stacks for in-house ML model serving and integrating with LLM serving partners.
Automate training pipelines: Orchestrate data prep, training, evaluation, and registry workflows on Kubernetes with solid MLOps practices.
Optimize at scale: Profile and tune throughput, memory, and cost; introduce caching, sharding, batching, and GPU/CPU autoscaling where it pays off.
Cresta aims to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Their platform combines AI and human intelligence to help contact centers discover customer insights and automate conversations.
Design and implement scalable, microservices-based architectures using Golang.
Write clean, efficient, and maintainable code, leveraging Go’s concurrency primitives.
Build and maintain high-performance RESTful and gRPC APIs.
Object Edge is an award-winning digital consultancy working with leading global brands. They help businesses differentiate and compete by creating effortless digital experiences with a data-driven, highly collaborative, and best-in-class team.
Design and build the infrastructure layer powering AI agent systems in production
Develop high-performance Rust services that handle model inference, orchestration, and execution
Architect scalable systems capable of supporting millions of users and high request throughput
Kraken is a mission-focused company rooted in crypto values, aiming to accelerate the global adoption of crypto so that everyone can achieve financial freedom and inclusion. As a fully remote company, Kraken has employees in 70+ countries and is committed to industry-leading security, crypto education, and client support.
You will design, build, and operate core systems that enable autonomous agents to function reliably in production.
You’ll build production-grade agentic workflows, retrieval and memory systems, multi-model execution, and tool-calling integrations that interact safely with enterprise systems.
You’ll explore new approaches, prototype quickly, and turn what works into durable production systems.
Kindo is an agent automation platform for DevOps and SecOps teams. They help organizations automate high-friction operational work using autonomous agents. Kindo is a small, highly technical team with strong customer traction and real enterprise revenue.
Design and deploy high-performance agentic systems that leverage Fastino’s optimized model architectures.
Collaborate with engineering teams to turn novel architectural breakthroughs into scalable solutions for enterprise customers.
Drive rapid, iterative prototyping of AI functionalities, refining model performance and task-accuracy based on real-world telemetry.
Fastino is building the next generation of LLMs with a team of alumni from Google Research, Apple, Stanford, and Cambridge and has developed the GLiNER family of open source models. Fastino has raised $25M through seed round and is backed by leading investors including Microsoft, Khosla Ventures, and Insight Partners.
Build sophisticated multi-agent systems that can reason, plan, and execute complex sales workflows.
Develop systems that maintain conversational context across complex multi-turn interactions.
Build scalable large language model and agentic platforms that enable widespread adoption and viability of agent development within the Apollo ecosystem.
Apollo.io provides sales and marketing teams with easy access to verified contact data and tools to engage and convert contacts in one unified platform. They are a fast-growing SaaS company with over 500,000 companies and millions of users globally, valued at $1.6 billion.
Design, architect, implement, review, and test frameworks, libraries, tools, and services primarily using Go.
Participate in requirement, design, planning, and retrospective meetings as an integral part of an Agile software development team.
Be an active maintainer of Mirantis projects by managing contributions and patches to open-source projects, reviewing submissions, and participating in design decisions.
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. They combine open source innovation with expertise in Kubernetes orchestration, empowering platform engineering teams to deliver composable developer platforms across any environment.
You will define, build, and evolve foundational systems that enable autonomous agents to operate reliably in production.
You’ll explore new approaches, prototype quickly, and turn what works into durable platform foundations.
You’ll identify high-leverage architectural improvements, abstractions, and guardrails that expand what the platform can do while keeping it reliable, secure, observable, and maintainable under real-world conditions.
Kindo is an agent automation platform for DevOps and SecOps teams, helping organizations automate high-friction operational work using autonomous agents. They are a small, highly technical team with strong customer traction and real enterprise revenue, where engineers have direct ownership over critical systems.
Design and build scalable and high-performance data software solutions using Golang and Python.
Build and deploy Kubernetes-based systems to manage containerized applications in cloud-native environments.
Collaborate with cross-functional teams to understand and address customer needs, ensuring our systems evolve to meet future requirements.
Machinify is a healthcare intelligence company delivering value, transparency, and efficiency to health plan clients. They deploy a configurable, AI-powered platform and have best-in-class expertise in the payment continuum, serving over 85 health plans and 270 million lives.
Develop and maintain backend systems and services for generative AI and agentic workflows.
Integrate AI-driven capabilities across the Seismic platform, working with data scientists and AI engineers.
Monitor and optimize agentic workflows’ performance, ensuring low-latency query responses.
Seismic provides sales enablement solutions, leveraging AI to enhance sales and marketing organizations. They focus on improving productivity and sales outcomes through their AI engine, Seismic Aura, integrated into their enablement cloud.
Lead the architecture and evolution of Cresta’s AI Agent integration framework across CCaaS platforms.
Design scalable, extensible backend systems that manage real-time conversation state, session lifecycle, and context propagation.
Establish architectural patterns for AI-to-human handoff that ensure durability, reliability, and seamless customer experience.
Cresta aims to transform customer conversations into a competitive edge. They achieve this by leveraging AI and human intelligence to enhance contact centers, automate processes, and empower team members.
Osano is an innovative B-Corporation focused on giving modern enterprises the ability to innovate quickly and earn customer trust by respecting data privacy and complying with consent guidelines. We are scaling fast with a multi-year runway and ambitious growth plans.
Design and implement AI-powered features across the full stack.
Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems.
Build responsive, intuitive user interfaces that make complex AI functionalities accessible.
ClickHouse is a fast-growing private cloud company, recognized on the 2025 Forbes Cloud 100 list. They lead the market in real-time analytics, data warehousing, observability, and AI workloads with over 3,000 customers and ARR that has grown over 250 percent year over year.
Architect, build, and operate data infrastructure that powers Tebra’s intelligent features.
Translate business requirements into software solutions that accelerate our ability to deploy AI.
Monitor data pipelines, detect anomalies, and implement automated recovery systems.
Tebra unites Kareo and PatientPop, providing a digital backbone for practice well-being, supporting both products with a shared vision for modernized care. Over 100,000 providers trust Tebra to elevate patient experience and grow their practice, building the future of well-being with compassion and humanity.
Design and implement production-scale AI agent systems and orchestration frameworks.
Deploy and optimize LLMs/SLMs in production with fine-tuning techniques.
Build data pipelines for training data curation, synthetic generation, and PII masking.
FourKites is the leader in AI-driven supply chain transformation for global enterprises and a pioneer of advanced real-time visibility. They turn supply chain data into automated action helping 1,600+ global brands prevent disruptions. They provide competitive compensation with stock options, outstanding benefits and a collaborative culture for all employees around the globe.
Design and build production-grade AI systems, including RAG pipelines, multi-step agents, and LLM-powered features.
Build comprehensive evaluation and observability frameworks to measure model accuracy, grounding, and quality drift.
Create production-quality Python services to wrap AI logic into secure microservices.
League, founded in 2014, is the leading healthcare consumer experience (CX) platform powered by AI, reaching over 63 million people globally. Payers, providers, and consumer health partners use League’s platform to deliver high-engagement healthcare solutions and improve health outcomes.
Design, develop, and maintain scalable and robust backend architectures for Cresta’s AI Agent solutions and proprietary models.
Collaborate with cross-functional teams including frontend engineers, machine learning engineers to ensure seamless integration of AI Agents into Cresta’s customer solutions.
Lead initiatives to enhance system scalability and reliability in production environments, focusing on backend services that support AI functionalities.
Cresta aims to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. They are combining AI and human intelligence to help contact centers discover customer insights and empower every team member to work smarter and faster.
Help build, implement, and deploy agentic platforms within client environments.
Focus on building and deploying scalable AI-driven solutions.
Work closely with client stakeholders, technical leaders, and delivery teams to build and roll out agentic capabilities.
Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. With a team of 500 experts in 20+ countries, they are trusted by leading enterprises including Lululemon, Puma, and Starbucks.