Design and implement agentic workflows combining LLM reasoning, structured data, and external tools to accelerate new product delivery.
Lead experimentation with multi-step reasoning, RAG, tool orchestration, and emerging paradigms to improve analyst workflows.
Shape Apptopia's long-term AI strategy and core modeling efforts, from AI-native systems to LLM-derived features and ensemble methodologies.
Apptopia provides actionable competitive intelligence to investment firms and financial institutions by estimating worldwide downloads, revenues, and active users for every mobile app, plus app user behavior insights. It's a high-growth startup backed by Mark Cuban and ABS Capital, serving clients like Google, Facebook, and top hedge funds with an intuitive business intelligence tool.
Lead technical design and delivery of high-impact AI initiatives, including agentic workflows and retrieval systems.
Own projects from concept through production while mentoring engineers and raising engineering standards.
Build production-grade AI systems using LLMs, RAG, and AWS services.
Givzey | Version2.ai is a fully remote, AI-native company that created the Autonomous Fundraising category, deploying Virtual Engagement Officers to help nonprofits scale donor outreach. The company has generated over $20M in fundraising revenue and fosters a culture of technical excellence, mentorship, and ownership.
Design, deploy, and optimize large-scale ML systems for retrieval, ranking, and LLM-powered features.
Lead ML projects from concept to production, improving answer relevance and user experience.
Collaborate with Product, Data Science, and Engineering teams to shape technical direction.
The hiring partner is a technology company focused on building advanced AI systems that help users discover relevant answers from large collections of online conversations. It values innovation, collaboration, and responsible AI development, offering a remote work environment within the United States.
Design production search, ranking, and recommendation systems.
Build ML models end-to-end, from feature engineering to monitoring.
Develop LLM-powered conversational search and image-based matching with RAG.
They operate a global digital marketplace for product discovery and evaluation, powered by advanced search and AI. They support a small, high-ownership engineering team with a remote-first culture and significant autonomy.
Design, train, and deploy ML models for text classification, entity extraction, and topic detection.
Build LLM-powered features including RAG, prompt design, and agentic workflows.
Collaborate daily with US-based engineers and productionize models as monitored services.
Tech Holding is a full-service consulting firm that delivers predictable outcomes and high-quality solutions to clients from startups to Fortune 50 companies. The culture is built on deep expertise, integrity, transparency, and dependability, with a team of experienced industry professionals.
Own ML projects end-to-end, from exploration to production deployment, iterating based on real user feedback.
Build agentic LLM systems with multi-step workflows, tool use, retrieval, and orchestration for reliable clinical use.
Treat evaluation as core engineering work, building eval sets, LLM-as-judge pipelines, and regression tests to catch quality drops.
Sword is building AI to revolutionize healthcare, focusing on clinical reasoning and real-time treatment. With over 700,000 members and 1,000+ enterprise clients, they are backed by $500M+ from top investors like Khosla Ventures and General Catalyst, defining a new standard in AI-native care.
Build and ship statistical, ML, and hybrid LLM models on real claims data.
Design evaluations and gold datasets with subject matter experts to continuously measure product impact.
Collaborate with a small senior team to turn model results into product decisions for auto casualty.
CCC Intelligent Solutions is a leading cloud platform for the insurance economy, connecting insurers, repairers, automakers, and part suppliers. Empowering 35,000 businesses, the company fosters a culture of innovation, integrity, inclusion, and connection.
Design multi-step LLM systems for reasoning, retrieval, planning, and tool use.
Own evaluation from offline benchmarks to online experiments and model-graded review.
Set quality, latency, and cost targets, and mentor senior engineers.
They build enterprise AI systems, specifically agent systems for large customers. As a late-stage, venture-backed company, they focus on shipping reliable AI to enterprise clients.
Build new functionality within a fast-moving product, taking ambiguous ideas from design to rigorous experimentation within weeks.
Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.
Build production-grade ML systems at Twilio scale, leveraging the latest AI development stacks to focus on core differentiation.
Twilio is a cloud communications platform that enables businesses to create personalized customer experiences through APIs and AI-driven solutions. The company is remote-first, serving hundreds of thousands of businesses, and fosters a culture of connection, inclusion, and innovation.
Lead exploration and application of Large Language Models and Generative AI into core product lines.
Translate the latest research into high-performing systems that enhance customer experiences.
Collaborate with cross-functional teams to set strategy and deploy ML solutions with real business impact.
Replicant is the industry leader in voice AI for customer service, providing automated phone bots for enterprises like AAA and Fanatics. Founded in 2017, the company is backed by top-tier Silicon Valley investors, has offices in the SF Bay Area, Toronto, and New York, and maintains a distributed team across the US and Canada.
Build and operate real search infrastructure for ranking and multi-modal search across Nivoda's marketplace.
Own the full lifecycle of ranking and recommendation models, from features and training through deployment and monitoring.
Build context-aware and conversational search using LLMs, embedding-based retrieval, and image embeddings.
Nivoda is the operating system for the global jewellery industry, connecting diamond and gemstone suppliers directly with retailers across more than 70 countries. We're a small, high-ownership team with a remote-first culture, powering over $300M in annual transactions.
Own, debug, and improve production ML pipelines for accuracy and efficiency.
Design LLM evals, LLM-as-a-judge systems, datasets, and benchmarks to monitor quality.
Run experiments on prompts, models, and pipeline designs to drive improvements into production.
Mimica is an AI-powered process intelligence platform that helps enterprises reclaim time by analyzing workflows and generating AI agents to automate tasks. Backed by $26M in Series B funding and trusted by Fortune 500 companies, the remote-first team spans 16+ countries and values high ownership and transparent communication.
Define technical vision for agentic AI systems processing global trade data.
Lead development of production-grade ML pipelines from ingestion to inference.
Mentor engineers and collaborate cross-functionally to drive measurable impact.
This role is with a partner company of Jobgether building AI systems that transform global trade data into actionable intelligence for risk management and compliance. They offer a remote-friendly culture with flexible time off, comprehensive benefits, and opportunities for technical leadership.
Lead the design and delivery of enterprise-scale AI/ML solutions, focusing on agentic AI and healthcare claims automation.
Serve as a trusted advisor, translating complex business challenges into scalable, production-ready AI solutions.
Drive implementation using AWS Bedrock AgentCore and related services, collaborating with data scientists, engineers, and healthcare specialists.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It focuses on objective candidate evaluation and efficient recruitment processes.
Build the extraction pipeline that turns raw data into structured memory, tuning LLM prompts and schemas.
Own the retrieval path that answers 'what do we know about this person?' in milliseconds, using embeddings and vector search.
Contribute to the eval systems that tell us whether memory is actually getting better, turning quality into benchmarks.
We are shaping the future of communications, delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide. We are a remote-first company with a strong culture of connection and global inclusion, with a vibrant team making a global impact.
Own the outcome from customer need to shipped agent, improving quality, coverage, and experience.
Build production agents and tools on Amazon Bedrock, turning serving layers into capabilities.
Measure groundedness, adoption, and impact, then diagnose and iterate to ship reliable answers.
WorkWave builds AI-powered software, including the in-product assistant AskWaive, to help customers make better decisions. They offer a flexible, collaborative remote environment and value trust, inclusion, and impact.
Lead high-impact AI/ML and data engineering projects across ASG's portfolio companies.
Build hands-on LLM-powered tools, data pipelines, and ML systems.
Partner with portfolio companies to commercialize data and drive AI adoption.
ASG is an unconventional group of market-leading SaaS software companies serving industries from behavioral health to childcare. It has acquired over 50 businesses since 2016 and is backed by Alpine Investors, operating with a PeopleFirst culture.
Design, develop, and maintain AI agents and LLM-powered applications using Python and AWS services.
Implement prompt engineering, agent orchestration, and evaluation frameworks to ensure reliable, scalable AI outputs.
Collaborate with engineering and product teams to deliver production-ready AI solutions with robust guardrails and observability.
CI&T helps large enterprises transform the potential of AI into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across more than 25 countries, they foster a collaborative culture where AI is embedded in how they work and innovate every day.
Independently build, test, and improve LLM, RAG, and tool-using agent workflows using maintainable, tested Python code.
Apply established evaluation frameworks to select technical approaches and diagnose retrieval misses, incorrect answers, and workflow failures.
Communicate findings and technical tradeoffs to engineering, product, and domain partners to support production reliability.
Definitive Healthcare turns data, analytics, and expertise into meaningful healthcare intelligence for smarter decisions. With over 2,400 customers globally and multiple workplace honors, it fosters a collaborative, inclusive culture.