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For Companies At a Glance
- Tasks: Co-build AI agents and solve real-world problems with cutting-edge technology.
- Company: Join a dynamic team at the forefront of AI innovation.
- Benefits: Competitive salary, flexible vacation, health coverage, and equity options.
- Other info: Exciting opportunities for growth in a fast-paced environment.
- Why this job: Make a tangible impact in the AI field while collaborating with top engineers.
- Qualifications: 3+ years in a technical role, strong Python and JavaScript skills.
The predicted salary is between 60000 - 80000 ÂŁ per year.
About the Team
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands‑on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre‑sales evaluations to post‑deployment advisory work. The focus is on achieving the technical win, co‑designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go‑to‑market, shaping how LangChain is adopted in the field and feeding real‑world insights back into the platform.
About the Role
The Deployed Engineer will work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
What You’ll Do
- Co‑architect and co‑build production AI agents with customer engineering teams
- Own the technical win in pre‑sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent‑based applications such as conversational agents, research agents, and multi‑step workflows
- Advise customers post‑sale on architecture, best practices, and roadmap‑level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
What You’ll Bring
- 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale‑up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent‑based or LLM‑powered applications beyond simple API calls, including multi‑step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
- Native French Speaker
Nice to Have’s
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real‑world constraints
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in‑office days in the US and more.
Deployed Engineer (South EMEA) employer: Langchain
Contact Detail:
Langchain Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Deployed Engineer (South EMEA)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work with AI agents. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects, especially those involving AI agents or similar tech. This gives potential employers a taste of what you can do.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by solving coding challenges and brushing up on your Python and JavaScript skills. The more comfortable you are, the better you’ll perform.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Deployed Engineer (South EMEA)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Deployed Engineer role. Highlight your experience with AI agents, Python, and any relevant projects that showcase your technical skills. We want to see how you fit into our team!
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! Include specific examples of how you've designed agent-based applications or tackled complex problems in production. This is your chance to shine and show us what you can bring to the table.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We appreciate a well-structured application that gets straight to the point—just like we do in our engineering work!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, it shows us you're keen on joining the StudySmarter family!
How to prepare for a job interview at Langchain
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, JavaScript, and systems fundamentals. Brush up on your experience with agent-based applications and be ready to discuss specific projects where you've designed multi-step workflows or handled failures.
✨Prepare for Customer Interactions
Since this role involves working directly with customers, practice explaining technical concepts clearly and concisely. Think of examples where you’ve built trust with developer audiences and how you’ve guided them through evaluations or architecture reviews.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you approach complex problems in applied AI. Share specific instances where you took responsibility for outcomes and how you navigated challenges while deploying AI agents in production.
✨Familiarise Yourself with LangChain
Since the role focuses on using the LangChain suite, make sure you understand its functionalities and how it can be applied in real-world scenarios. If you have experience with similar frameworks, be ready to draw parallels and discuss your insights.