Own the full LLM pipeline from data preparation to production real case usage.
Build and maintain RAG QA/search systems and multi-agent LLM architectures for scalable AI solutions.
Develop evaluation pipelines and collaborate with cross-functional teams to integrate AI models into chatbots.
Binance is a leading global blockchain ecosystem and the world's largest cryptocurrency exchange by trading volume and registered users. It is trusted by 300+ million users across 100+ countries and maintains a remote-first, flat, results-driven culture.
Design and execute experiments in reasoning model training, post-training alignment, test-time scaling, and systematic model evaluation for crypto-native applications.
Review and synthesize recent academic literature from NeurIPS, ICML, ICLR, and ACL to inform ongoing research directions in reasoning, alignment, and agentic AI.
Implement model variants and evaluation protocols using PyTorch and the Hugging Face ecosystem, tracking experiments with Weights & Biases.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. Trusted by 300+ million people in 100+ countries, the company has a flat, results-driven culture and focuses on increasing the freedom of money and financial access worldwide.
Own agent quality end-to-end for Bliro's chat and voice agents, including prompting, context, and model evaluation.
Build eval sets, LLM judges, and benchmarks to measure quality, latency, and cost with statistical rigor.
Establish a repeatable process for improving agent quality and set the long-term technology roadmap.
Bliro builds an AI assistant that handles desk work for field sales teams, with over one million customer touchpoints documented. Backed by leading investors and trusted by German Mittelstand companies, it's a small, high-performing team that values ownership and continuous improvement.
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 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 and build challenging evaluations and executable environments for coding and long-horizon agents.
Develop scoring logic and verifiers to detect reward hacks and trace failures through model outputs and harness code.
Build and scale RL data pipelines for generating and curating challenging coding and agentic tasks.
Prime Intellect is building the open superintelligence stack, providing infrastructure for post-training frontier AI models and open-source models trained for long-horizon tasks. The company has raised $150M from top investors and is a mission-driven team passionate about accelerating science and AI.
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.
Architect and scale automated evaluation pipelines for multi-agent LLM systems.
Define domain-specific metrics using advanced evaluation techniques like LLM-as-a-judge.
Build benchmarking infrastructure and monitor live agent workflows for drift and cost.
This company develops an AI-driven platform that automates complex enterprise workflows for corporate real estate, including lease abstraction and portfolio optimization. The size and culture of the organization are not specified in the posting.
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.
Design and build LLM-powered agents and workflows including orchestration, tool use, retrieval, structured extraction, and human-in-the-loop review.
Build evaluations with data labelers and subject matter experts, running them on every change to ensure reliability.
Make agents production-grade by implementing guardrails, observability, cost and latency optimization, and careful handling of sensitive health data.
CCC Intelligent Solutions Inc. is a leading cloud platform for the multi-trillion-dollar insurance economy, creating intelligent experiences for insurers, repairers, automakers, and more. With over 35,000 businesses using its technology, the company focuses on innovation and collaboration to keep lives moving forward.
Build and ship LLM-powered applications and AI agent workflows.
Design systems for reasoning, planning, memory, tool use, and multi-step execution.
Optimize AI systems for quality, latency, and cost, and establish production practices for observability and evaluation.
Gina's Tech Jobs is a technology recruiting firm that connects companies with engineering and IT professionals. They focus on remote and onsite placements, offering personalized recruitment services and career support.
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.
Analyze and model large volumes of business data to build algorithmic systems for compliance and regulatory requirements.
Lead a high-performing Data Analyst team, designing complex visualizations and analytical models.
Collaborate with compliance areas to deliver impactful analytical use cases and support business stakeholders.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. Trusted by over 300 million people in 100+ countries, the company offers a flat-structure, results-driven culture with a remote-first work environment.
Design and ship features end to end across data model, API, background workers, and UI.
Build and improve agent and model evaluation: sandboxed trials, scoring, and trustworthy aggregation of thousands of runs.
Improve benchmark task quality checks, integrate new models and agents, and keep the system fast and reliable as usage grows.
Turing accelerates superintelligence by providing high-quality datasets, reinforcement learning environments, and research benchmarks to frontier AI labs, and also deploys agentic AI systems for Fortune 500 enterprises. Headquartered in San Francisco, it operates with startup speed and an AI-forward culture.
Build AI-powered agents and tools end-to-end: identify problems with clients, prototype quickly, evaluate rigorously, and ship to production.
Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows.
Work directly with clients to understand workflows, validate AI behavior, and iterate toward production quality.
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. With over 1,500 firms in 60 countries and nearly $10 trillion in assets on the platform, Addepar fosters a culture of ownership, collaboration, and continuous learning.
Design and build automated evaluation pipelines for AI agents.
Develop testing frameworks for reasoning, multi-turn conversations, and adversarial scenarios.
Own the evaluation architecture and integrate observability tools in a fully remote team.
A company building production-grade AI agents and systems. They operate in a fully remote, globally distributed environment with a culture focused on innovation, autonomy, and continuous improvement.
Build and test LLM, RAG, and agent-based workflows.
Evaluate models against quality, latency, and cost metrics.
Create and maintain evaluation datasets and test cases.
Definitive Healthcare transforms data and analytics into actionable intelligence for the healthcare industry. With a global team and over 2,400 clients, we maintain a collaborative, inclusive culture that has earned multiple workplace honors.
Fine-tune open-weight LLMs using SFT, LoRA/QLoRA, and post-training methods such as DPO and GRPO to shape model behavior for 50M+ users.
Diagnose model failures and turn them into experiments, building training data and evals that directly influence production models.
Ship to production, speed up the training loop, and collaborate with Product, Web, and DevOps teams.
EverAI is building the world's largest AI companionship platform, redefining relationships for millions. With ~100 people, it's a fully remote, hardworking team with an ownership-driven culture and a track record of scaling products from 0 to IPO.
Design and improve AI systems for extracting structured reasoning signals from technical interviews.
Build LLM-powered pipelines for semantic analysis, behavioral feature extraction, and evaluation.
Develop scoring, calibration, and benchmarking methods grounded in measurable evidence.
APADCode is an early-stage AI startup building an AI-powered technical interview platform that evaluates how candidates reason and solve problems. The company is a small, early-stage team with a culture of high ownership, direct collaboration, and minimal bureaucracy.