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.
Lead end-to-end AI project delivery, ensuring governance, stakeholder communication, and reliable execution.
Design and build robust RAG systems, agentic frameworks, and LLM-powered solutions for production environments.
Mentor junior engineers and contribute to proposals, solution design, and new business initiatives.
Blend is a premier AI services provider that co-creates meaningful impact for clients through data science, AI, technology, and people. With a mission to fuel bold visions, the company aligns human expertise with artificial intelligence, fostering innovation and value for its clients.
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 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 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, develop, and deploy scalable AI solutions using RAG, agentic frameworks, and MLOps.
Collaborate cross-functionally on cutting-edge projects integrating tools like LangChain, CrewAI, and Google ADK.
Apply advanced prompt engineering and monitor AI application performance to ensure robust solutions.
Blend is a premier AI services provider that co-creates meaningful impact for clients through data science, AI, technology, and people. The company fosters a collaborative culture with opportunities for learning and growth across a diverse team.
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.
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.
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.
Set technical direction across multiple services and teams as a senior individual contributor.
Define AI platform patterns including agent orchestration, tooling, governance hooks, and evaluation surfaces.
Stay hands-on, designing and building production systems in Python across the AI stack.
Mitratech builds world-class products that simplify operations in Legal, Risk, Compliance, and HR functions. Serving 20,000 client companies globally, including 30% of the Fortune 500, the company fosters a diverse, inclusive culture that blends entrepreneurial spirit with enterprise investment.
Build and maintain end-to-end deployment pipelines for AI-powered applications, including artifact builds, environment promotion, rollback, and observability hooks.
Stand up and operate the runtime and lifecycle infrastructure for production agents, including deployment, versioning, monitoring, rate-limiting, and retirement.
Design and build the shared developer harness that every AI-powered service uses: prompt management, model routing, retries, tracing, eval hooks, and policy enforcement.
RxSense is a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. As a leader in SaaS technology for healthcare, the company offers innovative solutions with integrated intelligence on a single enterprise platform, connecting the pharmacy ecosystem.
Lead the design and implementation of scalable AI-powered solutions across the product ecosystem.
Automate manual workflows using AI-driven approaches, ensuring measurable efficiency gains.
Architect and build semantic data models and agent-based architectures for intelligent task automation.
Sigma Software is a technology company specializing in AI-powered product development. They foster a culture of innovation, ownership, and engineering excellence with a highly skilled international team.
Design and implement multi-agent state machines using LangGraph and LangChain for autonomous decision-making.
Build production-grade RAG pipelines on AWS with dual-engine vector search and serverless ingestion.
Architect secure multi-tenant AI systems with RBAC, PII redaction, and HITL guardrails.
Novara provides safety and operational risk management software that empowers organizations to identify and resolve issues before they become incidents. As a Providence Equity portfolio company, we are a dedicated team fostering innovation and collaboration in a remote-first environment.
Design, develop, and deploy production-grade AI-powered backend systems.
Integrate large language models and machine learning models into scalable architectures.
Optimize system performance and implement strong testing practices.
Our partner company is building advanced AI-powered systems to create meaningful customer value. The team operates in a high-autonomy, fast-moving environment focused on production-ready AI solutions.
Set technical direction for complex GenAI and agentic systems, building them hands-on and raising the bar for production-ready AI.
Own the hardest problems in AI portfolio, from agentic platforms at scale to AI in regulated, high-stakes environments.
Partner directly with client leadership to translate business strategy into AI architecture and shape solutions in pre-sales.
Egen is a fast-growing and entrepreneurial company with a data-first mindset, helping clients drive action and impact through data and insights using advanced technology platforms like Google Cloud and Salesforce. We are committed to being a place where the best people choose to work, dedicated to learning, thriving on solving tough problems, and continually innovating to achieve fast, effective results.
Design and implement solutions in Python using AWS cloud computing capabilities, including developing AI and LLM-based workflows.
Operate in a collaborative, agile environment with a focus on enabling team success and creating proofs-of-concept and production solutions.
Engage with peers to ensure maintainable solutions and share knowledge across the company.
Two Six Technologies builds, deploys, and implements innovative products that solve complex challenges for US government and Fortune 50 clients. The company fosters a culture of collaboration and trust, empowering its team to push boundaries and support customers in building a safer global future.
Design and maintain scalable ML infrastructure including data pipelines, training workflows, and model deployment systems.
Own end-to-end ML lifecycle operations, ensuring reliable delivery of models into production at scale.
Implement monitoring, telemetry, and feedback loops for ML models running across large-scale device fleets.
Our partner company develops ML systems for connected hardware products used by customers worldwide. They operate in a fast-paced, product-driven environment with a collaborative and technically ambitious culture focused on real-world ML impact.
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.
Design and architect AI capabilities on a cutting-edge iPaaS platform, working with technologies like LLM, RAG, Azure AI, and AWS Bedrock.
Build robust, scalable AI systems that run 24/7/365, collaborating with engineers, product management, and operations.
Mentor team members, use data-driven decision-making, and stay current with emerging AI and cloud computing trends.
Jitterbit is a leading data, application, and process workflow automation solution, rooted in iPaaS and fueled by an ambitious vision to integrate critical business processes. The company empowers enterprises of all sizes to accelerate their digital journey and is recognized in Gartner MQ for seven straight years, with a distributed, fun, fast-paced, and performance-oriented culture.
Lead design, development, and deployment of AI-powered software solutions as a trusted advisor to customers.
Translate complex customer needs into scalable solutions using LLMs, RAG, and modern engineering practices.
Mentor engineering teams, drive technical strategy, and contribute to proposals and demonstrations.
LTS is a technology company delivering AI-powered software solutions for complex business and mission challenges. They prioritize innovation, growth, collaboration, and quality, offering a comprehensive benefits package.