Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
Improve reliability, performance, and safety across existing Python codebases
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
Design, build, and deploy AI Agents including custom tools, prompt engineering, orchestration workflows, and agent design patterns.
Contribute to the backend infrastructure powering Candidly's AI capabilities, including API development, data integrations, and data pipelines.
Work closely with stakeholders across product, design, engineering, and leadership to translate complex AI concepts into actionable strategies and features.
Candidly, founded in 2016, is the category leader with the market’s most comprehensive AI-driven student debt and savings optimization platform. They partner with hundreds of top employers, financial institutions, and retirement record keepers, positioning Candidly to serve more than 35 million Americans. Candidly is a high-growth, Series B startup, funded by leading investors with an international team of 70 (and counting).
Building and maintaining our software components using primarily python ecosystem
Backend services and APIs with fastAPI, Kafka, Redis, AWS ecosystem
Collaborating with other teams to help them integrate with our microservices
Lightspeed provides a one-stop commerce platform to help merchants innovate, simplify, scale, and provide exceptional customer experiences. Founded in Montreal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD).
Drive new features delivery end-to-end through implementation, launch, and continuous iteration
Write performant, scalable and testable code with the help of modern tools
Participate in active engineering design sessions with evidence and experience-based contributions
Remedy Product Studio specializes in working with and investing in prominent start-ups and brands in building and scaling their digital products. They use data-driven agile approaches coupled with high performing teams as a cornerstone of their technology-first culture.
Design, build, and operate customer-facing features integrated into core product workflows.
Build and maintain internal services that provide stable, reusable interfaces for other engineers.
Bring AI workflows to production with observability, fallback strategies, and consideration for cost.
Turquoise Health aims to simplify healthcare pricing, increase transparency, and lower costs. They are a Series B startup backed by top VCs with a passion for improving healthcare and a team of ambitious and well-rounded individuals.
Design and deliver scalable AI systems that connect models, data, and products.
Turn research prototypes into secure, reliable, production-ready services.
Build pipelines and serving layers that power adaptive, real-time features.
KnowBe4 is a cybersecurity company that puts security first, offering an AI-driven Human Risk Management platform. They empower over 70,000 organizations worldwide to strengthen their security culture and transform their workforce into their strongest security asset.
Architect, design, and build backend systems that transform our internal AI technology into a scalable, market-ready product.
Design and optimize APIs, database schemas, and data processing workflows that seamlessly integrate with our AI/ML pipelines.
Collaborate with the Product, Data, and Engineering teams to define technical requirements and deliver features that enhance our users’ experience and overall system performance.
Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform. Sword Health has 1,000+ enterprise clients and has raised more than $500 million from leading investors.
Lead development of cloud-based Python applications that integrate AI/ML capabilities.
Collaborate with data scientists to turn models into robust, scalable APIs and user-facing tools.
Design and implement application features that enable care teams to engage members more effectively using AI-driven insights.
Mindoula is a next-generation behavioral health company improving outcomes for populations with complex behavioral, medical, and social challenges. They are building the future of behavioral health through technology, data science, and high-impact care delivery, fostering a positive and innovative culture.
Prototyping, implementing, shipping and supporting features.
Digitizing risks using Generative AI.
Changing the insurance industry.
Cytora, now an Applied Systems company, is transforming how insurers and brokers connect, operate, and grow with their AI-powered platform. They foster a culture that values individuals and recognizes them as teammates who matter, embracing diverse experiences and celebrating uniqueness.
Own and deliver the technical execution of Proofs of Value (PoVs) to support the Chattermill sales cycle.
Prepare, ingest, and transform customer data for PoVs, including data acquisition, ETL processes, data modeling, and validation.
Build and maintain PoV outputs such as dashboards, analyses, and reports, aligned to agreed scope, success criteria, and customer use cases.
Chattermill's Customer Experience Intelligence platform continuously analyzes explicit and implicit feedback to enable clients to identify what they should do next, using best-in-class tech in a fast-developing AI space. They value trust, growth, and a team-oriented approach, striving for diversity and inclusion.
Implement AI agents primarily in Python, following established architectural principles.
Design and implement agent flows based on graphs, state machines, and/or tool-based orchestration frameworks.
Ensure agents are observable, testable, and production-ready (logs, metrics, traces).
Edify is a consolidated technology services consulting firm specializing in education technology. They deliver creative solutions for corporations, startups, educational institutions, and non-profit organizations. They promote a warm, friendly, and cooperative culture and believe in a balanced work and life.
Work with customers over the entire Archie product lifecycle: Lead discovery sessions, translate engineering challenges into AI use cases, design how Archie integrates into each workflow, and provide post-deployment support to ensure customer success.
Designing, implement, and refine customer integrations: connect Archie to engineering data sources and tools, iterate until it delivers measurable value.
Fine-tune and evaluate AI systems in production environments: identify, collect, and prepare customer data to fine-tune models. Source evaluation criteria and questions from customer sessions to validate improved engineering capability.
P-1 AI is building an engineering AGI with the conviction that the greatest impact of artificial intelligence will be on the built world. The founding team includes the top minds in deep learning, model-based engineering, and industries that are their customers.
Development and deployment of LLM-powered features, including summarization tools.
Build backend services in Python that integrate ML/LLM models with Fullscript’s platform.
Collaborate with medical and product teams to deliver AI features for practitioners and patients.
Fullscript is a health technology company committed to helping people get better by connecting practitioners to products and patients to care plans. They empower over 125,000 practitioners and 10 million patients through their comprehensive platform.
Work side by side with clients, PMs, and Architects to scope and deploy AI systems.
Build and integrate systems using LLMs, RAG pipelines, agent frameworks, vector databases and related tools.
Debug relentlessly and optimize for reliability in production, not just elegance in code.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Design and maintain the "Reasoning Layer" for Engines, building workflows that "think" and route tasks based on complex business logic.
Partner with Engine Owners to translate manual processes into automation and iterate quickly based on real-world operational feedback.
Connect internal platforms with third-party services using APIs, webhooks, and workflow automation tools.
Tem is fixing the energy market by enabling businesses to buy energy directly from renewable generators. They have saved UK businesses and generators over £25 million since launching in 2021 and are backed by top-tier VCs including Atomico and Albion.
Design, optimize, and version prompts for production voice and chat LLM applications.
Architect and orchestrate multi-agent systems for complex conversations.
Build automated testing and validation frameworks for LLM outputs.
Tuotempo transforms healthcare experiences through intelligent digital solutions and is a trusted patient engagement platform powering some of Europe and Latin America's leading healthcare institutions. They have a remote-first culture with vibrant hubs in Bologna or Barcelona.
Design and build robust, scalable services that power Al-driven systems.
Implement clean, modular, and testable code across distributed systems.
Own data modeling, schema design, and performance optimization.
Artificial.Agency is building AI-driven systems. They seem to have a flexible work environment and value diverse perspectives, creating an inclusive environment for employees.
Work with our team to understand our Archie capability roadmap and decompose capabilities into technical development.
Turn capability prototypes and PoCs from our AI research team into robust, scalable implementations.
Diagnose and solve technical problems identified by our team or users.
P-1 AI is building an engineering AGI, focusing on the built world. They are a small team tackling an ambitious problem, aiming to put an Archie on every engineering team at every industrial company on earth.