OpenAI API

LangChain

San Francisco, CA · $165,000 – $220,000

You'll run production operations for LangChain's go-to-market AI agent system, monitoring health and costs while building the feedback loops that improve it. This role is for someone with strong SRE instincts and LLM production experience who wants to operate the platform they help build and turn that story into a reference for enterprise customers.

Listed on LangChain’s careers site · Apply there ↗

Live Nation Entertainment

Full-time · New York, NY · $125,000 – $150,000

This role builds and deploys production AI agents and agentic applications to solve real business problems across Live Nation's divisions, working closely with product and business teams to move from concept to working internal tools. It suits an experienced software engineer who excels at rapid prototyping, integrating AI systems with existing infrastructure, and operating independently with minimal oversight.

Listed on Live Nation Entertainment’s careers site · Apply there ↗

Udacity

Contract · Nationwide

This contract role maintains and updates Udacity's AI and machine learning courses, fixing bugs, updating code to work with newer library versions, and improving content based on student feedback. It's ideal for experienced Python developers who work with generative AI tools and want flexible, technical work while staying current with rapidly evolving AI technologies.

Listed on Udacity’s careers site · Apply there ↗

Accenture

Accenture is hiring a manager to lead AI and generative AI initiatives across retail operations, designing machine learning solutions for merchandising, pricing, and customer engagement. The role suits experienced AI practitioners with retail domain knowledge who can translate technical capabilities into business strategy and lead cross-functional teams.

Listed on Accenture’s careers site · Apply there ↗

Topline Pro

Full-time · Boston, MA

This role involves building AI agents and chat capabilities to help small service businesses manage operations, focusing on production deployment and scaling of LLM-powered features. It suits engineers with hands-on experience in RAG systems, LLM APIs, and MLOps who want to directly impact a growing product at a well-funded startup.

Listed on Topline Pro’s careers site · Apply there ↗

Evertune

Full-time · New York, NY · $120,000 – $300,000 · Remote

Evertune seeks a backend engineer to own the architecture and infrastructure of its AI marketing platform, designing distributed systems that integrate large language models at scale. This role suits someone experienced building high-performance production systems who is ready to shape technical direction at a well-funded startup.

Listed on Evertune’s careers site · Apply there ↗

Accenture

Full-time

This role involves designing and deploying AI agent systems to production, bridging the gap between customer experience strategy and technical implementation. It suits engineers with hands-on AI and agentic framework experience who can think about user experience while shipping production systems.

Listed on Accenture’s careers site · Apply there ↗

Accenture

You will architect and deploy multi-agent AI systems in production enterprise environments, working directly with client engineering teams and setting standards for RAG pipelines, LLM integration, and observability across the practice. This role combines senior technical leadership with hands-on ownership of agentic systems that run inside real organizations, not prototypes.

Listed on Accenture’s careers site · Apply there ↗

Accenture

€28,500 – €54,900

You'll design and deploy production agentic AI systems for enterprise clients, owning the full stack from multi-agent orchestration and RAG pipelines to LLMOps and observability. This role suits engineers with shipped production AI systems who understand the difference between demos and systems that run reliably at scale.

Listed on Accenture’s careers site · Apply there ↗

Accenture

You will design and deploy production agentic AI systems for enterprise clients, working across the full stack from multi-agent orchestration to RAG pipelines and LLMOps. This role is for engineers with proven shipping experience in production AI systems, not just prototyping, who can architect solutions that integrate multiple LLM providers and scale beyond individual engagements.

Listed on Accenture’s careers site · Apply there ↗