Design, develop, and deploy production-grade AI-powered backend systems integrating LLMs and traditional ML models.
Integrate and optimize vector databases for RAG pipelines, and write clean, well-structured Python code.
Debug complex cross-layer issues and collaborate with product and engineering teams to deliver cohesive solutions.
We are a fast-growing product company integrating cutting-edge AI capabilities into our core offering to deliver exceptional value to customers. Our small, fast-moving team works on practical, real-world AI applications with high autonomy.
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.
Ship AI to production by building tool-using LLM agents for grant discovery and drafting, with robust evaluation and observability.
Build trustworthy backends with high-quality, tested code, data pipelines, and reliability practices like alerts and incident response.
Collaborate with Product, Design, and GTM to scope features, run experiments, and raise engineering standards through clear code and reviews.
Instrumentl is a profitable, hypergrowth, YC-backed SaaS platform building the operating system for grant-funded organizations. More than 5,500 nonprofits use Instrumentl to discover, track, and win grant funding, and the company has grown over 40% year over year.
Design and scale backend services integrating Generative AI and RAG for production use.
Develop AI agents to automate workflows and build pipelines transforming data into actionable insights.
Optimize retrieval systems and collaborate with product and engineering teams to deliver AI features.
Beyondsoft is a leading mid-sized IT and consulting company that combines modern technologies and proven methodologies to tailor solutions. With a global presence spanning four continents, our diverse team thrives on innovation and collaboration.
Design and build LLM-powered AI components for internal tools and user-facing applications.
Develop systems for data retrieval, embeddings, and intelligent automation workflows.
Collaborate with cross-functional teams on AI use cases and contribute to technical vision.
Jobgether powers job matching using AI to connect candidates with opportunities. They emphasize a remote-first, collaborative culture with high autonomy and flat structure.
Design and build production-ready AI agents that allow users to query enterprise data using natural language.
Develop Text-to-SQL pipelines using LLMs, ensuring generated queries are accurate, secure, and performant.
Collaborate with cross-functional teams to integrate AI into scalable platforms and improve accuracy through testing.
This role is listed on behalf of a partner company, which manages all applications and next steps. The company uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
Build models and data products that go from prototype to production, including generative models and subscriber-behavior predictions.
Dig into large, messy datasets to uncover trends and patterns, and contribute to the core Python data science library.
Build LLM-powered pipelines and agents, with comprehensive evals to validate model responses.
DevSavant is an operating partner for startups and growth-stage companies, helping them turn ambition into execution. With over 8 years in venture-backed ecosystems, they are trusted to accelerate delivery and scale teams efficiently.
Build production systems that extract structured data from emails, documents, and other unstructured sources using NLP/LLM workflows.
Develop retrieval and ranking systems (RAG, BM25, embeddings) and define quality metrics with evaluation feedback loops.
Integrate ML and LLM workflows into reliable Python backend services (FastAPI, Django) with clear error handling and observability.
We are a UK-based, AI-enabled lettings and property management platform that grows through a roll-up strategy acquiring estate agencies. We are a fast-growing, product-focused company backed by top-tier investors with a team experienced in real estate, technology, and operations.
Design and deploy state-of-the-art GenAI solutions including RAG pipelines, LLM orchestration, and AI agents.
Lead high-impact, client-facing engagements and oversee junior consultants.
Work hands-on with Databricks, LangChain, and models like GPT, LLaMA, and Claude.
Lovelytics helps some of the most complex enterprises modernize their data and put AI to work. The company has grown from 85 to 500+ people across the Americas, maintaining a technically excellent, low-ego culture.
Design, develop, and optimize AI-powered systems using Large Language Models (LLMs).
Integrate AI APIs and external services to build scalable content generation workflows.
Transform sports data into engaging educational experiences using AI.
Rehire is partnering with an innovative SportsTech EdTech company that transforms sports data into engaging educational experiences. They offer a collaborative international environment with high-impact technical challenges.
Design, build, and operate multi-agent workflows and tool-enabled agents for resilient production pipelines.
Architect and maintain end-to-end RAG systems covering document ingestion, chunking, embedding, retrieval, and answer synthesis.
Define and own evaluation frameworks for generative outputs, including automated metrics, LLM-as-judge, and hallucination detection.
Mitratech builds world-class products that simplify operations in Legal, Risk, Compliance, and HR functions. With over 35 years of experience, we serve 20,000 client companies globally, including 30% of the Fortune 500, and foster a diverse, inclusive culture centered on individual excellence and learning.
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, build, and ship production-grade AI agent features (PM Agent, Execution Agent, External Onboarding Agent) that automate real implementation work.
Lead design partner engagements to develop custom agent workflows, iterating based on customer feedback to productize reusable components.
Contribute to the MCP server and platform layer, ensuring reliable retrieval, evals, and tool integrations across the full AI stack.
TaskRay is the leader in post-sale work management in the Salesforce ecosystem, helping companies ensure flawless customer experiences post-sale. The company has a culture centered on Connection, Integrity, Hunger, and Thrive, with a small team that values high performance and innovation.
Contribute to backend and full-stack feature development, delivering production-ready code for core products.
Collaborate with senior engineers on system integration, deployment, and integrating AI/LLM capabilities like RAG pipelines.
Write automated tests, maintain CI/CD configurations, and produce technical documentation across teams.
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 across 100+ countries, the company has a flat, global structure and focuses on advancing financial freedom through digital assets.
Build AI-powered workflows, assistants, agents, and automation systems across customer support, CRM, and finance operations.
Work with product and engineering teams to turn manual processes into scalable AI-native systems using LLMs, APIs, and internal data.
Prototype quickly, test with users, then productionize what works, ensuring evaluation, monitoring, and reliability.
Bjak believes people deserve smarter ways to plan, save and grow their money, starting with the first mobile-first insurance platform in Southeast Asia. They have teams worldwide with over 20 nationalities working from offices and remotely, seeking talented and driven people.
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, develop, and maintain LLM-powered applications and autonomous agents using Python and frameworks like LangGraph.
Build agentic workflows, implement prompt engineering strategies, and integrate LLM models across providers.
Develop observability tools, MCP Server components, and deploy cloud-native solutions on AWS.
NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing content across film, television, and streaming, and operating theme parks. As a subsidiary of Comcast Corporation, the company champions an inclusive culture and strives to develop a talented workforce to serve communities.
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.
Develop cutting-edge GenAI solutions incorporating the latest techniques from Databricks AI research.
Own production rollouts of consumer and internally facing GenAI applications.
Serve as a trusted technical advisor to customers across a variety of domains.
Databricks is the data and AI company, providing a unified platform for data, analytics and AI. With over 10,000 organizations worldwide including 50% of the Fortune 500, Databricks fosters a culture of innovation and collaboration.