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For Companies At a Glance
- Tasks: Own the journey from prototype to production for agentic AI services.
- Company: Join DATAHEAD, a leading fintech company with a focus on innovation.
- Benefits: Enjoy a fully remote role with competitive salary and growth opportunities.
- Why this job: Make a real impact by building cutting-edge AI solutions in a dynamic environment.
- Qualifications: 6+ years in software engineering with deep Python and FastAPI experience.
- Other info: Ideal for those passionate about tech and eager to drive engineering velocity.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Senior Software Engineer – Agentic AI
Location: UK (Fully Remote)
Sector: Fintech
At DATAHEAD, we partner with high‑growth teams to place engineers who love turning prototypes into rock‑solid products. We’re leading a confidential search for a builder who can own agentic AI in production end‑to‑end.
The role
Own the journey from prototype to production for agentic AI services. Design orchestration, build high‑throughput APIs, and keep systems observable, reliable, and cost‑aware.
What you’ll do
- Ship and harden agentic workflows (planning, tool use, retries/fallbacks, evals).
- Build and scale Python/FastAPI services; drive latency, accuracy, and cost improvements.
- Run services on Kubernetes; manage rollouts, resources, and debugging.
- Improve retrieval with vector search (e.g., Pinecone/Qdrant/pgvector) and hybrid strategies.
- Maintain healthy event‑driven pipelines (Kafka/RabbitMQ/Redis) with DLQs, back‑pressure, and idempotency.
- Raise engineering velocity via tests, CI/CD, and clear SLOs/alerting.
What you’ll bring
- 6+ years in software engineering with deep Python.
- Production experience with FastAPI (async), observability, and CI/CD.
- Hands‑on agentic AI (LangChain/LangGraph or equivalent) deployed to real users.
- Solid Kubernetes fundamentals and comfort with event‑driven systems.
- Practical experience with vector databases and retrieval quality.
Nice to have
Background in complex/regulated data workflows or document‑heavy systems.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology
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Software Engineer - Python/Agentic AI employer: DATAHEAD
Contact Detail:
DATAHEAD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - Python/Agentic AI
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech and AI space. We all know that sometimes it’s not just what you know, but who you know. Attend meetups or webinars related to agentic AI and software engineering to make those valuable connections.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, FastAPI, and agentic AI. We recommend using GitHub to host your code and document your thought process. This way, potential employers can see your work in action!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design knowledge. We suggest practicing common algorithms and data structures, as well as understanding Kubernetes and event-driven systems. Mock interviews can be super helpful too!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented engineers like you. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s get you that dream job!
We think you need these skills to ace Software Engineer - Python/Agentic AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your experience with Python, FastAPI, and any agentic AI projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for software engineering and how you can contribute to our team. Be sure to mention specific projects that relate to agentic AI and production systems.
Showcase Your Projects: If you've got any personal or professional projects that demonstrate your skills in building APIs or working with Kubernetes, include them! We love seeing real-world applications of your expertise.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at DATAHEAD
✨Know Your Tech Stack
Make sure you’re well-versed in Python and FastAPI, as these are crucial for the role. Brush up on your knowledge of Kubernetes and event-driven systems too, as they’ll likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built or improved agentic AI services. Highlight your experience with vector databases and how you’ve tackled challenges in production environments.
✨Understand the Company’s Needs
Research DATAHEAD and their focus on high-growth teams in fintech. Be ready to explain how your skills can help them ship and harden agentic workflows, and why you’re excited about contributing to their mission.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current tech stack, team dynamics, or future projects related to agentic AI to demonstrate your enthusiasm and engagement.
