At a Glance
- Tasks: Build cutting-edge AI agents and tackle complex engineering challenges.
- Company: Early-stage, venture-backed AI startup with a dynamic team.
- Benefits: Competitive salary, meaningful equity, and hands-on experience with founders.
- Other info: Opportunity for rapid career growth and direct impact on innovative projects.
- Why this job: Join us to shape the future of autonomous AI in a fast-paced environment.
- Qualifications: Experience in software engineering and a passion for AI technologies.
The predicted salary is between 60000 - 80000 € per year.
Compensation: Competitive salary + meaningful equity
Stage: Early-stage, venture-backed AI startup
Team: Working directly with founders and early engineering team
Overview
We're building autonomous AI agents that perceive, reason, plan, and act across live environments. This is not a prompt-engineering role. You'll build production-grade agent systems capable of navigating interfaces, using tools, orchestrating workflows, recovering from failure, and operating reliably at scale. We're looking for engineers who can bridge frontier AI research with hardened distributed systems. You'll work directly with founders to define the architecture, infrastructure, and operational backbone behind next-generation AI agents.
Key Responsibilities
- Build autonomous AI agents using modern agent frameworks such as LangGraph, OpenAI Agents SDK, AutoGen, CrewAI, or similar orchestration tooling
- Design multi-agent systems with planning, memory, tool use, routing, reflection, and long-running execution
- Develop agents powered by frontier LLMs and VLMs
- Build retrieval pipelines using vector databases such as Pinecone, Weaviate, Chroma, pgvector, or Milvus
- Engineer production AI infrastructure using Python, FastAPI, TypeScript, gRPC, event-driven systems, and async architectures
- Deploy and scale agent systems using Docker, Kubernetes, Helm, Terraform, AWS/GCP, and modern CI/CD pipelines
- Build observability and evaluation systems using LangSmith, Weights & Biases, MLflow, OpenTelemetry, Grafana, or custom telemetry pipelines
- Own model serving, inference optimisation, batching, caching, and GPU orchestration using tools like vLLM, Ray Serve, Triton, or BentoML
- Develop feedback and evaluation loops using RLHF, SFT, synthetic data generation, automated evals, and human-in-the-loop systems
- Solve hard production problems around hallucinations, memory drift, latency, concurrency, recovery, and agent reliability
- Operate with high ownership in a fast-moving startup environment with ambiguity and technical depth
Next Steps
If this sounds like your kind of challenge, we'd love to hear from you. The process is designed to move quickly and give you real exposure to the team, technical problems, and opportunity:
- Introductory conversation with the hiring managers / founders
- Collaborative Conversation around product, scaling, and engineering approach
Applied AI Engineer - Agentic in West Bromwich employer: Experis
As an early-stage, venture-backed AI startup, we offer a dynamic work environment where innovation thrives and every team member has a direct impact on the company's success. Our culture fosters collaboration with founders and provides ample opportunities for professional growth, allowing you to work on cutting-edge technology while enjoying competitive compensation and meaningful equity. Join us in shaping the future of autonomous AI agents in a fast-paced setting that values creativity and ownership.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer - Agentic in West Bromwich
✨Tip Number 1
Get to know the company inside out! Research their projects, values, and team dynamics. This will help you tailor your conversations and show that you're genuinely interested in being part of their journey.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for technical discussions by brushing up on relevant skills and tools mentioned in the job description. Be ready to showcase your problem-solving abilities and how you can tackle real-world challenges they face.
✨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, it shows you’re serious about joining the team and ready to dive into the exciting work ahead.
We think you need these skills to ace Applied AI Engineer - Agentic in West Bromwich
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see how excited you are about building autonomous agents and tackling complex challenges. Share any personal projects or experiences that highlight your passion.
Tailor Your Application:Make sure to customise your application to fit the role of Applied AI Engineer. Highlight your experience with the specific tools and technologies mentioned in the job description, like Python, Docker, or any agent frameworks you've worked with. This helps us see how you can contribute right away!
Be Clear and Concise:We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read through your skills and experiences. Remember, we’re looking for engineers who can communicate effectively.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets to the right people. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Experis
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like Python, FastAPI, and Docker. Brush up on your knowledge of modern agent frameworks and distributed systems, as you'll likely be asked to discuss how you've used these tools in past projects.
✨Showcase Problem-Solving Skills
Prepare to discuss specific challenges you've faced in production environments, especially around issues like latency or memory drift. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Engage with Founders
Since you’ll be working directly with the founders, show genuine interest in their vision for the company. Prepare thoughtful questions about their approach to building autonomous AI agents and how they see the role evolving as the company grows.
✨Demonstrate Ownership and Initiative
In a fast-moving startup, ownership is key. Share examples from your previous roles where you took initiative, led projects, or made significant contributions. This will help convey that you can thrive in an ambiguous environment and are ready to tackle challenges head-on.
