Design, prototype, and build production-ready agentic workflows and LLM orchestration systems.
Move AI prototypes into scalable, low-latency microservices on Azure, ensuring production-grade integration.
Act as technical mentor for agent-focused engineering squads, driving AI quality and operational frameworks.
Shift Technology delivers AI agents that transform insurers' most critical work. With employees from over 50 countries, the company's culture is built on innovation, trust, and a drive to transform the insurance industry.
Design and build autonomous AI agents using modern agentic frameworks to analyze infrastructure and make intelligent decisions.
Develop and deploy ML models and MLOps pipelines that learn from infrastructure patterns to optimize resource policies and scaling.
Own AI systems end-to-end, from architecture to production, ensuring performance, reliability, and cost-effectiveness.
ScaleOps is redefining autonomous cloud and AI infrastructure by freeing DevOps teams from manual resource management, reducing cloud costs by up to 80%. Backed by over $210M from leading VCs, the company is trusted by Fortune 100 companies and fosters an innovative, mission-driven culture.
Serve as a primary technical consultant, leading end-to-end AI/ML project implementations with clients.
Design, build, and maintain production-grade AI/ML pipelines, emphasizing CI/CD and advanced MLOps/AIOps practices.
Architect end-to-end AI/ML systems and manage infrastructure using Docker, orchestrators, and Databricks lakehouse.
Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies. We build modern Machine Learning systems for demand planning, budget forecasting, and custom AI solutions, fostering a data-nerd culture with values like ownership and a positive mindset.
Own the end-to-end architecture for AI products, including model selection, multi-agent orchestration, and retrieval systems.
Lead implementation of shared AI services, SDKs, and platform standards for production AI systems.
Provide technical leadership, mentoring, and stakeholder management to deliver high-impact AI initiatives.
RealPage provides software and AI solutions for the real estate and property management industry. It is a large organization that emphasizes innovation, engineering excellence, and responsible AI in a collaborative culture.
Own AI agents and autonomous workflows powered by LLMs from problem framing through production.
Build RAG pipelines, set evaluation and guardrail standards, and optimize for cost and scalability.
Work directly with client teams to scope problems and deploy AI systems in their environments.
Acceler is a Forward-Deployed Engineer company that takes AI from pilot to production inside client systems. With a practitioner network of nearly 1,000 engineers across the US and India, it's a high-caliber team built on ownership, trust, and rapid learning.
Design, build, and productionize machine learning and agentic AI functionality.
Partner with product engineering squads to embed AI capabilities into Arkestro's product.
Contribute to AI/ML architecture decisions and own evals and ground truth for your projects.
Arkestro's Predictive Procurement Platform applies AI, game theory, and behavioral science to enterprise negotiations, helping teams move from reactive supplier bidding to data-driven offers. It is a hyper-growth, remote-first startup with a collaborative culture focused on meaningful work and significant impact.
Design and implement execution patterns, tool-calling infrastructure, and runtime guardrails for agentic workflows.
Build core services and reusable runtimes to connect LLMs and agents to governed data on Databricks.
Integrate agent workflows into Delta Lake, Unity Catalog, and multi-cloud pipelines across GCP and Azure.
Kinaxis is a global leader in modern supply chain orchestration, providing an AI-infused platform for complex global supply chains. They have over 2000 employees worldwide and are recognized with multiple Top Employer awards for their strong culture and commitment to innovation.
Build production AI and agentic workflows end to end, from PRD and architecture through implementation, evaluation, and iteration.
Own the retrieval stack, model selection, and evaluation harness to ensure measurable quality, latency, and cost.
Design and maintain a reusable component library and set engineering standards for the CoE and partner teams.
QAD | Redzone builds an intelligent manufacturing and supply chain platform that connects people, processes, and data into a single System of Action. It fosters a collaborative culture of smart, hard-working people who support one another and prioritize diversity, equity, and inclusion.
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.
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.
Set technical direction for production agent systems, including orchestration, tool use, memory management, and failure recovery.
Build and operate shared foundations: evaluation frameworks, observability, execution controls, and model access with routing and failover.
Work with security and platform teams to ensure scoped permissions, data isolation, audit trails, and safe execution of tools and code.
Cobalt runs AI agents in production that test real customer applications, operating at the forefront of the pentesting industry. The company is rapidly expanding, offering a collaborative culture with mentorship, competitive compensation, and a focus on growth.
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 a small engineering team as a hands-on player-coach, setting technical direction and owning delivery.
Ship AI-powered features to production while raising standards across observability, testing, security, and architecture.
Partner with Product and leadership to plan, prioritize, and follow through on complex technical work.
Usersnap is building AI-driven capabilities into its product, from automated setup to intelligent surveys and reporting. It is part of saas.group, a remote portfolio of 380+ SaaS professionals across 50+ countries, with a high-trust, flexible culture.
Build and ship features of AI/ML and LLM-powered systems with guidance from senior engineers.
Implement and maintain AI/ML and AI agent pipelines from data ingestion through model deployment.
Contribute to LLM-powered features such as prompts, evaluations, retrieval, and tool integrations, while documenting experiments clearly.
Robots & Pencils designs AI systems for a human world, pairing engineering with creativity. Teams average fifteen-plus years of experience and value ownership, craft, direct feedback, and continuous learning.
Design, build and operate production AI agents, including an autonomous coding agent that works from Jira and Slack, opening PRs and fixing CI failures.
Build the retrieval and context layer behind our AI brain: embeddings, semantic search, knowledge-graph modeling, and integration with Snowflake and internal docs.
Harden agents against prompt injection and over-broad permissions, and drive cost and latency down using caching and structured outputs.
Weedmaps is a global leader in the cannabis industry, providing a platform for consumers and businesses. The company has a collaborative culture focused on innovation and community, serving the U.S. and worldwide.
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.
Building multi-agent systems and implementing agent-based workflows and AI automation solutions.
Developing and optimizing prompt engineering strategies, including evaluation and iteration.
Integrating LLMs and AI models into cloud-based applications and APIs while researching new AI tools.
Software Mind develops impactful software solutions for global companies, partnering with tech giants and unicorns on transformative projects. The company builds cross-functional engineering teams and embraces a culture of openness, respect, grit, and cooperation.
Design, implement, and deploy ML/AI models end-to-end, including data pipelines, training workflows, and production optimization.
Collaborate with product, engineering, and data teams to align AI work with business goals and translate technical tradeoffs.
Contribute to AI architecture decisions and raise engineering practices, using AI-forward coding tools like Claude and Cursor.
Robots & Pencils designs AI systems for a human world, pairing engineering with creativity to ship production-ready AI in 30 to 45 days. The company values craft, ownership, and direct feedback, with teams averaging fifteen-plus years of experience.
Lead the engineering foundation behind reliable, measurable, and scalable AI-powered features.
Build evaluation frameworks, observability tooling, and diagnostic infrastructure for AI agents in production.
Combine hands-on software engineering with technical leadership and people management.
The company builds AI-powered products with a focus on reliability, scalability, and evaluation infrastructure. It operates as a fully remote, globally distributed team with an ownership-oriented culture.
Build and operate production-grade agentic AI workflows for customer experience operations.
Develop MCP servers, secure integrations, and shared platform capabilities on AWS.
Establish evaluation, observability, and governance practices for reliable AI systems.
A technology company focused on integrating AI-powered workflows into customer experience operations. They foster a collaborative, inclusive remote culture emphasizing production-grade engineering, rapid prototyping, and mentorship.