Source Job

• Develop and integrate AI-powered systems to support EdReports' curriculum review process, including data pipelines, retrieval systems, and prompt workflows.
• Build internal tools and interfaces for users to interact with AI outputs, ensuring accessibility and security.
• Collaborate with product managers and subject matter experts to translate user needs into scalable technical solutions.

EdReports.org is a nonprofit that publishes free, online, evidence-rich reviews of instructional materials to improve curriculum quality. They have a remote-first culture and are committed to diversity, equity, and inclusion.

• Deliver white-glove AI enablement, consulting, and solution engineering across assigned business units, including tool setup, training, and workflow configuration.
• Build bespoke AI workflows, agents, and full-stack lightweight internal tools tailored to each area’s specific needs.
• Curate prompt libraries, skill repositories, and agent context, while designing role-specific AI training and coaching.

MRO provides AI enablement and workflow solutions in healthcare. They focus on internal tool prototyping and support cross-team collaboration to boost productivity, operating with a culture of hands-on delivery and thought leadership.

• Partner with executives to identify areas for AI enablement and define clear business metrics.
• Build AI platform and harness engineering tooling for internal engineers and external customers.
• Design AI best practices and mentor teammates across the company in building AI-powered tools.

Campminder builds software for summer camps, enabling meaningful experiences for kids. With over 20 years of experience, the company is stable and profitable, with a loyal customer base and a culture that has earned it a spot on Outside Magazine's 50 Best Places to Work for 8 consecutive years.

• 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.

• Build the AI Platform Foundation by leading design and ownership of core infrastructure.
• Standardize the AI Developer Path by architecting high-level abstractions and APIs.
• Engineer AI Trust & Safety Systems through monitoring and quality assurance layers.

Smartsheet provides a collaborative work management platform. As a publicly traded company with thousands of employees, it fosters a culture of innovation and inclusion.

• Lead technical execution of complex AI initiatives, designing and delivering ML and LLM systems for patient and provider-facing products.
• Own problems end-to-end: scope with clinicians, build datasets, iterate on modeling, and ship to production with monitoring and guardrails.
• Develop robust evaluation frameworks including offline benchmarks, human-in-the-loop review, and online experiments to ensure model safety and accuracy.

Curai harnesses artificial intelligence and clinical expertise to make healthcare more affordable and accessible for everyone. They are a small, senior team committed to rigorous research, clinical integrity, and improving health outcomes.

• Build AI-powered product features integrated into real insurance workflows.
• Design and optimize LLM-based interactions for customer and internal systems.
• Improve reliability of AI outputs through guardrails, fallback logic, and validation layers.

BJAK is Southeast Asia's largest digital insurance platform, using AI to simplify insurance and financial services for millions of users. The company values technical excellence, speed of execution, and practical decision-making, with a global engineering team that works closely across product, design, and AI teams.

• Partner with business teams to identify high-value AI use cases across company functions.
• Design and build AI-powered solutions using LLMs, prompt engineering, and workflow automation.
• Rapidly build prototypes and proof-of-concepts to validate business value and technical feasibility.

Redcare Pharmacy is Europe's No.1 e-pharmacy, providing online pharmacy services. The company fosters a collaborative work environment where employees feel valued and inspired.

• Lead complex AI engineering workstreams across multiple business areas and stakeholder groups.
• Design and build AI-powered applications using LLMs, agents, and modern architectures.
• Establish best practices for prompt engineering, API integrations, and code quality.

The partner company focuses on designing and delivering advanced AI solutions that help organizations transform business processes and create measurable value. It offers a collaborative and inclusive culture with opportunities for career growth and international mobility.

• 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.

• 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.

• Design, build, and maintain AI-powered features like LLM integrations and RAG pipelines.
• Contribute to tooling for AI reliability, including observability and monitoring.
• Prototype solutions quickly and work with peers to harden them for production.

Homeward creates financial products that remove uncertainty from homebuying. As a remote-first real estate startup with about 200 employees, we value the Golden Rule, One Team One Dream, and Calm Focus.

• 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.

• Work closely with clients to understand their AI goals, present sustainable solutions, and adjust strategies based on feedback.
• Guide and mentor engineering teams with AI expertise, setting technical standards and conducting code reviews.
• Design and integrate APIs, data pipelines, and infrastructure to enable seamless communication and scalable AI implementations.

Livefront helps companies design and build digital products, working with clients like CVS, Samsung, and General Mills. They are a collaborative team that values respect, mutual trust, and egoless collaboration.

• Own and evolve the Retrieval-Augmented Generation (RAG) layer and agentic AI capabilities, designing and optimizing systems that connect LLMs to high-quality data.
• Design and implement AI agents and agentic workflows, including tool use, planning, and multi-step task execution, integrating with enterprise systems.
• Partner with leadership to identify, scope, and deliver agentic AI use cases across the business, contributing to the AI roadmap and internal AI practice.

Disher partners with a global supply chain solutions organization to fill this role. The employer empowers high-performance teams to solve complex global challenges through creativity, partnership, and technology, offering a supportive, collaborative environment with a focus on work-life balance and professional development.

• Drive complex AI engineering workstreams across multiple business areas.
• Define AI engineering approaches that align business goals with implementation outcomes.
• Mentor and coach practitioners, contributing to team growth and quality standards.

Valtech is an experience innovation company that partners with the world's most recognized brands to drive digital transformation. They have a global, borderless team with a culture of creativity, diversity, and autonomy.

• Design and build core architecture for AI systems spanning multiple product areas, ensuring coherence and reuse.
• Set the technical bar for the org in evaluation frameworks, testing philosophy, CI/CD for model behavior, and shared infrastructure.
• Take direct ownership of the hardest, most ambiguous technical problems and build solutions end-to-end.

Twin Health empowers people to prevent and reverse chronic metabolic diseases using AI Digital Twin technology. The company is rapidly scaling across the U.S. and globally with over $100 million raised, and has been recognized as an innovator and top workplace.

• 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.

• Provide technical leadership and mentorship to junior engineers on the Applied AI team.
• Design and implement scalable architectures for LLM-based applications, including agents and vector databases.
• Develop evaluation pipelines and prototype components to validate AI product concepts.

Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They prioritize fair and efficient recruitment, fostering an inclusive and diversity-driven workplace culture.

• Design and build AI applications powered by LLMs, RAG, semantic search, and AI agents.
• Develop intelligent pipelines for document ingestion, knowledge extraction, and retrieval.
• Build and optimize production AI services using Python and modern AI frameworks.

Implicit builds a leading AI Knowledge Engine for Maintenance and Support. The company is a small, experienced, and highly technical team tackling challenging real-world problems across defense, manufacturing, and customer support.