Redis Jobs

Accenture

Accenture Industry X is seeking a Senior AI Full Stack Developer with expertise in Python and React/TypeScript to design, build, and deploy production-grade AI applications. You will work across the complete technology stack, from Python backend services and AI orchestration layers to responsive React-based user experiences. This role involves hands-on work with Large Language Models (LLMs), Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), APIs, cloud platforms, and modern DevOps practices, transforming AI concepts into scalable, observable, and production-ready solutions within fast-moving, cross-functional teams.

LangChain is seeking a Senior Fullstack Engineer to join the LangSmith team, which builds the core platform for observability, evaluation, and production reliability of AI systems. This role offers the opportunity to shape the technical direction of the platform, working closely with enterprise customers, developer end-users, and internal stakeholders. You will lead the technical architecture and implementation of key product features, collaborating with product and design teams, and driving aggressive project timelines while maintaining high engineering standards. The position emphasizes writing clean, maintainable, and well-tested code, with a "get stuff done" attitude and strong ownership mindset.

$175k - $240k

LangChain is seeking a Senior Backend Engineer to join their growing engineering team in Boston, MA. This role will focus on building the backend systems that power LangSmith, LangChain's observability and evals platform. You will work on core services enabling customers to monitor and evaluate their AI applications at scale. While the primary focus is backend feature development, familiarity with full-stack engineering, performance tuning, and debugging production issues is beneficial. This is an opportunity to shape the future of AI observability at production scale.

$170k - $235k

TRM Labs is seeking a Senior Software Engineer to join their AI team, focusing on enhancing intelligence collection through AI-powered solutions. This role involves working directly with intelligence analysts to understand their workflows and build AI products, tooling, and infrastructure that improve efficiency and scale. The ideal candidate will have strong product sense, the ability to identify high-impact solutions, and a desire to stay deeply technical while shaping product direction. You will be responsible for designing, building, and owning AI-powered internal applications end-to-end, from backend services and APIs to the underlying infrastructure and user interfaces. This is a hands-on position for an engineer who wants to make a significant impact on the mission of building a safer world.

$200k - $220k

Moveworks is building the runtime infrastructure that powers its AI agents, which deliver real-time responses to millions of enterprise users. This role focuses on distributed systems engineering at the core of agentic AI. The AI agents can plan, execute multi-step workflows, call tools, and interact with users while maintaining correctness, observability, and low latency. The systems responsible for these capabilities are what you will build and own.

Moveworks is building the runtime infrastructure that powers its AI agents, enabling them to orchestrate, execute, and deliver responses to millions of enterprise users in real time. This role focuses on distributed systems engineering at the forefront of agentic AI. The AI agents are designed to plan, execute multi-step workflows, call tools, and interact with users, all while ensuring correctness, observability, and low latency. The successful candidate will build and own the systems that make these advanced agent capabilities possible.

Moveworks is building the runtime infrastructure that powers its AI agents, which are responsible for orchestrating, executing, and delivering responses to millions of enterprise users in real time. This role focuses on distributed systems engineering at the forefront of agentic AI. The AI agents are designed to plan and execute multi-step workflows, interact with tools, and manage human input, all while ensuring correctness, observability, and low latency. The systems responsible for these capabilities are what you will build and own.

We are seeking a Senior Software Engineer to join our team and build the runtime infrastructure that powers Moveworks' AI agents. These agents are responsible for orchestrating, executing, and delivering responses to millions of enterprise users in real time. This role focuses on distributed systems engineering at the forefront of agentic AI, enabling our AI agents to plan, execute multi-step workflows, call tools, and interact with users while maintaining correctness, observability, and low latency. You will build and own the core systems that make these advanced agent capabilities possible.

Faire is a technology wholesale platform connecting independent retailers with global product discovery. We are seeking a Staff Product Engineer to join our Discovery Search team (Search FX). This role will be a primary technical architect for our retailer-facing search surfaces, owning the technical roadmap for search, recommendations, and Gen-AI experiences. You will bridge the gap between high-scale infrastructure and user experience, unifying retrieval, ranking, and personalization into a cohesive, high-performance system. You will integrate LLM-powered capabilities, solve complex scale problems, and drive cross-functional impact while mentoring the team.

$231k - $318k

Thinking Machines is building AI to extend human will and judgment, developing frontier models and crafting interfaces for human-AI communication. We are seeking a Software Engineer to join our full-stack team, which works closely with researchers to build systems that accelerate research and engineering velocity. You will own key parts of our internal platform, including evaluation and training libraries, experiment-tracking systems, and visualization tools. This role involves identifying researcher bottlenecks and transforming them into reliable, generalizable systems, requiring strong technical judgment, cross-functional collaboration, and product intuition. Success means building systems that researchers trust, rely on daily, and find delightful to use.

$300k - $350k