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).
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.
Design, build, and operate LLM-powered systems used in production.
Build scalable agentic AI automation solutions, selecting appropriate patterns based on business requirements.
Make system-level tradeoffs across model choice, latency, cost, accuracy, and operational complexity.
Natera is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health, aiming to make personalized genetic testing and diagnostics part of the standard of care. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions.
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.
Leverage advanced agentic AI tools, such as Claude Code, to quickly add new functionality into existing code stacks.
Make quick, high-impact contributions to strategically critical projects across LMI’s portfolio.
Collaborate with development teams to identify pain points in existing systems and implement solutions.
LMI is a digital solutions provider dedicated to accelerating government impact with innovation and speed. They focus on agility and collaboration, serving the defense, space, healthcare, and energy sectors, helping agencies navigate complexity and outpace change.
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.
Designing complex, dynamic prompt templates with conditional logic.
Implementing various response schemes to ensure AI outputs are predictable.
Building robust evaluation pipelines and using Langfuse to collect feedback.
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries, and our innovative teams are driving the future of consumer-led products.
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.
Design, develop, and deploy production-ready applications using Large Language Models (LLMs).
Develop robust backend services and APIs for AI applications using Python and modern frameworks.
Design and optimize high-quality prompts and templates that guide LLM behavior and responses.
CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, they’ve built partnerships with more than 1,000 clients during our 30 years of history.
Design and build agentic workflows for chat experiences and asynchronous background processes
Choose and apply the right techniques for prompting, tool use, orchestration, memory, and evaluation
Write high-quality, production-grade Python
PharmaForce is a leading provider of innovative pharmacy solutions, specializing in 340B Third Party Administration (TPA) and Pharmacy Benefit Management (PBM) services. They foster a culture of innovation and collaboration, continuously striving to develop solutions that make healthcare more accessible and affordable for all.
Design, implement, and evolve RAG pipelines combining structured data, embeddings, and LLMs.
Develop and maintain prompt strategies used across multi-step agent workflows.
Integrate LLMs into production systems with attention to reliability, cost, and latency.
FirmPilot builds AI-powered systems that automate and scale real-world business outcomes. They focus on applied AI, using best-in-class large language models and tooling to deliver reliable, production-grade automation.
Build and implement RAG pipelines, including document chunking and embedding generation
Integrate and maintain LLM APIs for effective streaming responses
Develop agent orchestration logic for user request routing
Jobgether is a platform utilizing AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly. They connect candidates with hiring companies and strive to build innovative technology shaping the future of automation.
Design and build AI agents that guide users through complex workflows in customer support.
Collaborate cross-functionally with TPM, PM and platform teams to translate business goals into Agentic solutions.
Define best practices and framework for prompt engineering, agent evaluation, and agent self-learning across different Agentic solutions.
ServiceNow is a global market leader that brings innovative AI-enhanced technology to over 8,100 customers. They connect people, systems, and processes to empower organizations to find smarter, faster, and better ways to work, and they include 85% of the Fortune 500®.
Develop agentic AI systems using frameworks like LangGraph, Crew AI, LangChain, N8N, etc.
Help with data collection, cleaning, and preprocessing for training and improving AI models.
Support the team in integrating various tools and APIs that enable AI agents to interact with external systems.
Coderoad is a software development company that provides end-to-end software development services. They offer opportunities to work on real-world projects and challenge yourself in a supportive environment.
Design and deliver AI-powered advisors, assistants, and analytic agents.
Build and maintain high-quality, production-ready Python services.
Apply, adapt, and fine-tune foundation models to deliver reliable AI experiences.
Energage helps organizations turn employee feedback into useful business intelligence and credible employer recognition through Top Workplaces. Built on culture research and the results from 23 million employees surveyed across more than 70,000 organizations, Energage delivers the most accurate competitive benchmark available.
Build AI-Powered Features: Design, develop, and deploy production-grade AI applications that solve real customer problems.
Architect Scalable Systems: Create robust backend architectures that support AI workloads, ensuring low latency and high reliability.
Drive AI Innovation: Implement and optimize agentic AI systems, RAG pipelines, and multi-agent workflows using modern LLM frameworks.
Procurify is the AI-enhanced procurement and AP automation platform for mid-market organizations. They help organizations take control of spend and save money as a remote-first company with a big heart and a strong ambition to modernize the way organizations manage business spend.
Drive technical strategy and architectural decisions across multiple teams and stack layers
Solve ambiguous, cross-cutting problems that span dashboards, mobile, AI, and backend services
Define and champion spec-driven development practices organization-wide
SERHANT. is the most followed real estate brand in the world, calibrated for the marketplace of tomorrow, delivering proven results for buyers, sellers, and developers. SERHANT. revolutionizes the traditional brokerage model by innovating through media and content creation and is powered by a full-service in-house film studio as well as an amplification platform.
Design and build LLM-powered features—from initial prototyping through production deployment
Architect and implement agentic AI systems, including tool use, multi-step reasoning, and orchestration patterns
Collaborate closely with Engineering, Product, Data, and Design to identify high-impact opportunities for AI integration
Practice Better is an all-in-one platform helping health and wellness practitioners run their businesses, care for their clients, and scale their impact. They are a remote-first team headquartered in Toronto, made up of curious, driven, and empathetic people building tools that help practitioners create sustainable, independent practices.
Design and implement APIs, services, and infrastructure.
Prototype rapidly and continuously improve system performance.
Podium brings AI Employees to local businesses that turn every conversation into revenue. Trusted by 60,000+ businesses, they have crossed $100M in AI Agent ARR, scaling 300% year-over-year and empowering real business outcomes for their customers.
Build the technical roadmap given a business requirement and own the delivery of the same.
Develop and optimize LLM-based solutions : Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
Codebase ownership : Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
Turing, based in San Francisco, is a research accelerator for frontier AI labs, partnering with global enterprises to deploy advanced AI systems. They accelerate research with data, talent, and training pipelines and build proprietary intelligence systems, recognized among the world's top innovators.