Design and develop machine learning models for localization workflows, including machine translation and LLM finetuning.
Implement and optimize models using Python, TensorFlow, and deploy via Docker and AWS services.
Evaluate and select ML techniques, perform statistical analysis, and maintain clear documentation.
Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure with a network of over 500,000 linguists and domain experts, backed by seven ISO certifications.
Architect, develop, and maintain business applications with a focus on AI solutions.
Process user requests for development of new and support for existing IT systems.
Execute and implement software tests, participate in code reviews, and follow development standards.
PSI is a leading Contract Research Organization (CRO) with 30 years of experience in the pharmaceutical industry, supporting clinical trials globally. The company fosters an inclusive culture where a diverse range of colleagues feel welcomed and valued, attracting and retaining top talent worldwide.
Lead development of core machine learning systems, fine-tuning LLMs and building NLP pipelines to extract data from insurance documents.
Architect training workflows using user feedback, and build intelligent agents for complex web interfaces.
Design evaluation pipelines and scalable systems for training, inference, and feedback in a fully remote role.
Total Performance Consulting provides AI, consulting, software development, and nearshore staffing services. The company operates with a small, fast-moving team and works on meaningful problems alongside its founders.
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.
Design and optimize scalable, secure, and maintainable AI-powered software solutions, integrating machine learning models and generative AI services.
Champion engineering excellence by writing high-quality, well-tested code and guiding peers in best practices for AI integration.
Collaborate cross-functionally to evaluate new AI capabilities and contribute to the roadmap for AI-enabled features and platforms.
BECU is a financial cooperative with 1.5 million members and over $30 billion in managed assets, focused on people over profits. With 90 years of history and a purpose-driven culture, they are one of the nation's leading credit unions, emphasizing employee support and community well-being.
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.
Design and build AI-enabled features for education products, working with stakeholders to understand real workflows.
Integrate LLM APIs and develop evaluation approaches for quality, consistency, and reliability.
Build prototypes quickly, test against real use cases, and productionize successful approaches.
We are a global EdTech company building a suite of AI-enabled products for students, teachers, and education partners to support better learning outcomes at scale. Our team fosters a culture of experimentation and disciplined engineering.
Design and build end-to-end features across frontend and backend systems.
Develop scalable, maintainable, and secure software architectures with AI-powered capabilities.
Collaborate with product, design, and platform teams and contribute to engineering best practices.
Crosslake Technologies helps private equity investors and portfolio company leaders drive value creation through technology. They are a team of experienced practitioners who use proven frameworks and data to navigate critical technology decisions.
Design, build, and iterate on AI systems across computer vision, video generation, and agentic data analysis.
Own the full pipeline from R&D of AI models to deploying scalable web applications.
Work directly with the founder using AI-assisted development tools to build prototypes in days.
Foxelli builds D2C e-commerce brands and proprietary AI infrastructure, generating over $20M annually. The team is a fast-moving, remote-first tribe of AI enthusiasts and ambitious builders with a strong culture and focus on meaningful work.
Design and develop data pipelines, scoring algorithms, and API infrastructure to power AI-driven matching and recommendation capabilities.
Build and maintain integrations between the matching engine and an existing program management platform.
Collaborate with SMEs to build, test, and refine user-configurable matching logic.
LMI is dedicated to accelerating government impact with innovation and speed, bringing commercial-grade platforms and mission-ready AI to federal agencies. Headquartered in Tysons, Virginia, they are committed to delivering impactful results that strengthen missions and drive lasting value.
Build and deploy AI-driven features using LLMs and recommender systems.
Contribute across the stack with React and Python, shipping user-facing code.
Work in a fast-paced iterative environment with design and product teams.
Euphoric builds AI-first employee benefits administration software for global employers. They are a fast-paced startup with a small, ambitious team and significant seed funding.
Lead the design, implementation, and deployment of machine learning and deep learning algorithms.
Apply data mining and statistical analysis to build high-quality predictive models and understand user interactions.
Collaborate with product and engineering teams to deliver analytical interfaces supporting business strategy.
This company is an AI-driven startup optimizing healthcare operations through artificial intelligence, network science, and advanced optimization algorithms. It is a small organization focused on improving planning, scheduling, and efficiency for healthcare providers.
Design, develop, and deploy AI-powered applications and full-stack solutions.
Build and iterate rapidly on prototypes, MVPs, and proofs of concept.
Collaborate directly with stakeholders to translate business needs into scalable implementations.
They are an AI-focused company building intelligent applications and scalable products. The team is small and fast-moving, with a culture of experimentation and rapid execution.
Own and improve production AI systems, designing and deploying scalable AI/ML solutions for critical business workflows.
Build AI-powered workflow platforms using generative AI models, agent frameworks, and orchestration systems.
Design evaluation and experimentation frameworks to optimize model quality and business outcomes.
Pivotal Health is a technology platform that helps healthcare providers get paid fairly by automating reimbursement workflows. The company is a collaborative, low-ego team on a mission to make healthcare reimbursement fairer for providers, with flexibility for remote and hybrid work.
Build and deploy AI agents and multi-agent systems on Azure using composable patterns.
Design orchestration patterns, tool integrations, and RAG pipelines for production.
Implement CI/CD, responsible AI controls, and production monitoring for AI solutions.
Beyondsoft is a leading mid-sized IT and consulting company that combines modern technologies and proven methodologies to tailor solutions. Our global team of diverse experts thrives on innovation and pushing the bounds of technology, with a presence spanning four continents and a customer-centric engagement model.
Design, build, and maintain core automated workflow engine ensuring seamless orchestration across web apps, RPA, and data models.
Partner with product and data teams to transition AI prototypes into scalable, production-ready features.
Ensure high-volume, low-latency performance for backend worker queues and mission-critical systems.
Privia Health is a tech-driven national physician enablement company that collaborates with medical groups to optimize practices and improve patient experiences. It is led by top talent and physician leadership, with a culture focused on reducing costs and improving outcomes.
Identify workflows where AI agents can achieve 10-100x efficiency gains, build the business case, and align with domain leadership.
Design and implement agentic workflows integrating CRM, ERP, ticketing, and other enterprise systems with human-in-the-loop checkpoints.
Own production agent performance, track KPIs, tune prompts and retrieval, and provide observability for continuous improvement.
Natera is a global leader in cell-free DNA testing, dedicated to oncology, women's health, and organ health. The team consists of highly dedicated professionals from world-class institutions, working in a challenging and collaborative culture.
Design and develop production-grade AI/ML services and web applications from proof-of-concept to scalable platforms.
Implement MLOps best practices, CI/CD pipelines, and cloud deployment for AI/ML workloads.
Collaborate with cross-functional teams to integrate AI capabilities into engineering workflows.
Cayuse Civil Services, LLC provides enterprise AI and engineering solutions for government and infrastructure clients. The company values innovation, excellence, collaboration, adaptability, and integrity, fostering a culture of teamwork and quality.
Build features, fix bugs, and gradually take on more ownership as you learn the product.
You'll work alongside senior engineers who'll help you grow, but we won't spoon-feed you either.
You'll use AI tools heavily in our workflow - you'll be expected to leverage them to move fast and learn faster.
Cello provides the Revenue Growth Infrastructure for modern digital businesses. They help teams acquire, retain, and monetize customers at scale by turning word-of-mouth into a systematic, measurable growth channel built for the AI era. They are a small team backed by $10.3M in funding from top-tier investors.
Clone, run, and debug AI-generated full-stack and frontend applications to validate functionality and identify issues.
Evaluate code quality, structure, readability, and adherence to engineering standards, documenting UI and logic inconsistencies.
Collaborate with engineers to refine code evaluation frameworks and contribute to reusable frontend components and internal tooling.
A partner company is seeking a Junior Full-Stack Engineer to work at the intersection of full-stack development and AI, focusing on improving AI systems that generate and evaluate code. They offer a fast-moving, experimental environment with strong learning and career growth potential, collaborating with experienced engineers and AI researchers.