Deployed Engineer (Las Vegas)

About the Role

The day-to-day responsibilities of this role will include working directly with customers to understand their needs and develop tailored AI solutions. This will involve designing and implementing AI agents, as well as integrating them with existing systems and infrastructure. The Deployed Engineer will also be responsible for troubleshooting issues and optimizing AI agent performance.

As part of the LangChain team, the Deployed Engineer will be expected to collaborate closely with cross-functional teams, including sales, marketing, and product development. This will require strong communication and interpersonal skills, as well as the ability to work effectively in a fast-paced and dynamic environment.

What You Will Do

• Design and implement AI agents using Python, JavaScript, and other relevant technologies
• Collaborate with customer engineering teams to co-architect and co-build production AI agents
• Develop proofs of concept and guide evaluations to demonstrate the value of AI solutions
• Troubleshoot issues and optimize AI agent performance
• Work directly with customers to understand their needs and develop tailored AI solutions
• Design and implement multi-step workflows, orchestration, and failure handling for AI agents
• Develop and maintain technical documentation for AI solutions
• Stay up-to-date with the latest developments in AI and related technologies

What We Are Looking For

• 3+ years of experience in a relevant technical role, such as software engineering, customer engineering, or solutions engineering
• Strong foundation in Python, JavaScript, and systems fundamentals
• Experience designing agent-based or LLM-powered applications beyond simple API calls
• Ability to work directly with customers during proofs of concept, architecture reviews, and technical evaluations
• Strong communication and interpersonal skills
• Ability to explain technical tradeoffs clearly and build trust with developer audiences
• Bias toward action and ability to figure things out as you go
• Experience working in a startup or scale-up environment

Nice to Have

• Experience with cloud-based infrastructure and containerization
• Knowledge of DevOps practices and tools, such as Docker and Kubernetes
• Familiarity with agile development methodologies
• Experience working with cross-functional teams, including sales, marketing, and product development

Benefits and Perks

• Medical, dental, and vision coverage
• Flexible vacation policy
• 401(k) plan
• Meals on in-office days in the US
• Opportunity to work on cutting-edge AI technologies and make a significant impact on the development of AI solutions
• Collaborative and dynamic work environment
• Professional development opportunities, including training and education programs
• Flexible remote work arrangements
• Access to the latest tools and technologies

• Make sure to highlight your experience with Python, JavaScript, and systems fundamentals in your application, as these are key requirements for the role.
• Be prepared to walk through your experience designing agent-based or LLM-powered applications, and provide specific examples of your work.
• Show a willingness to learn and adapt to new technologies and workflows, as the AI landscape is constantly evolving.
• Demonstrate your ability to communicate technical concepts clearly and effectively, both in writing and in person.
• Be ready to discuss your experience working with customers and cross-functional teams, and provide examples of successful collaborations.
• Consider creating a portfolio or providing examples of your work to demonstrate your skills and experience.
• Don't be afraid to ask about the company culture, values, and expectations during the interview process, to ensure you're a good fit for the team.