At a Glance
- Tasks: Design and build AI agents that solve real-world business problems using LLMs.
- Company: Fast-growing startup focused on innovative AI solutions for enterprise customers.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and career advancement.
- Why this job: Join a dynamic team and create cutting-edge AI workflows that make a real impact.
- Qualifications: Bachelor’s degree in Computer Science and strong programming skills in Python or JavaScript.
The predicted salary is between 60000 - 80000 € per year.
Requirements
- Bachelor’s degree in Computer Science or a related technical field
- Strong programming skills in Python and/or JavaScript/TypeScript
- 3+ years of experience building and shipping production software; 2+ years working with LLMs or AI APIs
- Hands-on experience with modern LLMs (e.g., GPT, Claude, Gemini), vector databases, and agent/orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, or custom solutions)
- Practical experience with RAG, agent workflows, evaluation, and performance optimization
- Strong agent design skills, including prompt engineering, tool use, multi-step agent workflows (e.g. ReAct), and failure handling
- Ability to reason about and balance trade-offs between customization and reuse, as well as autonomy, control, cost, latency, and risk
- Strong communication skills and experience leading technical discussions with customers or partners
- (Desirable) Experience working in a fast-moving startup environment
- (Desirable) Prior work delivering AI or automation solutions to enterprise customers
- (Desirable) Familiarity with human-in-the-loop workflows, fine-tuning, or LLM evaluation techniques
- Experience with cloud deployment and production operations for AI systems
- (Desirable) Background in applied ML, NLP, or decision systems
- Strong written and verbal communication skills
- Ability and interest to travel up to 25%, flexible
What the job involves
- We’re a fast-growing startup building production-grade AI agents for enterprise customers at scale.
- We’re looking for Applied AI Engineers who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs)—from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows.
- In this role, you’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources.
- While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.
- You’ll collaborate closely with customers, product, and platform teams, and help shape how agentic systems are built, evaluated, and deployed at scale.
- Work with enterprise customers and internal teams to turn business workflows into scalable, production-ready agentic AI systems.
- Design and build LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability.
- Balance rapid iteration with enterprise requirements, evolving prototypes into stable, reusable solutions.
- Define and apply evaluation and quality standards to measure success, failures, and regressions.
- Debug real-world agent behavior and systematically improve prompts, workflows, tools, and guardrails.
- Contribute to shared frameworks and patterns that enable consistent delivery across customers.
Applied AI Engineer (Agentic Workflows) employer: Deepstreamtech
Join a dynamic and innovative startup that is at the forefront of AI technology, where your contributions as an Applied AI Engineer will directly impact enterprise workflows. We foster a collaborative work culture that values creativity and technical excellence, offering ample opportunities for professional growth and development in a fast-paced environment. With a focus on building cutting-edge solutions, you'll have the chance to work with leading-edge technologies while enjoying the flexibility and support that come with being part of a forward-thinking team.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer (Agentic Workflows)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or AI APIs. This gives you a chance to demonstrate your hands-on experience and problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to agent workflows and AI systems. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 genuinely interested in joining our fast-growing team.
We think you need these skills to ace Applied AI Engineer (Agentic Workflows)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your programming skills in Python and/or JavaScript/TypeScript. We want to see your experience with LLMs and AI APIs, so don’t hold back on showcasing your projects or any production software you've built!
Tailor Your Application:Customise your application to reflect the job description. Mention your hands-on experience with modern LLMs and agent workflows. We love seeing how you can balance trade-offs in your designs, so share specific examples!
Communicate Clearly:Strong communication skills are key for us. When writing your application, be clear and concise about your experiences and how they relate to the role. If you've led technical discussions, let us know!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our fast-growing team!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages mentioned, especially Python and JavaScript/TypeScript. Brush up on your experience with LLMs and agent workflows, as you’ll likely be asked to discuss specific projects or challenges you've faced.
✨Showcase Your Problem-Solving Skills
Prepare to talk about real-world business problems you've tackled using AI. Think of examples where you designed and deployed agentic workflows, and be ready to explain your thought process and the impact of your solutions.
✨Communicate Clearly and Confidently
Strong communication skills are key for this role. Practice explaining complex technical concepts in simple terms, as you may need to discuss your work with non-technical stakeholders. Be prepared to lead discussions and share your insights.
✨Embrace the Startup Mindset
Since this is a fast-moving startup environment, demonstrate your adaptability and willingness to iterate quickly. Share experiences where you balanced rapid development with quality assurance, and how you’ve handled feedback and changes in direction.
