At a Glance
- Tasks: Design and maintain AI-driven services that autonomously accomplish tasks using modern frameworks.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Enjoy competitive pay, health perks, remote work options, and growth opportunities.
- Other info: Dynamic team environment with excellent career advancement potential.
- Why this job: Make a real impact by working with cutting-edge AI technology and innovative projects.
- Qualifications: 3+ years in software engineering with strong Python skills and experience in agentic coding.
The predicted salary is between 60000 - 80000 £ per year.
Responsibilities Design, implement, and maintain scalable, secure agent-driven services and systems that autonomously accomplish tasks using modern AI frameworks.
Develop and enhance robust infrastructure and high-throughput APIs, focusing on core agent capabilities such as memory, communication channels, skills, intelligent decision logic, security, and workflow management.
Integrate agent capabilities with backend services, data stores, vector databases, search/retrieval systems, and external APIs.
Collaborate with product managers, AI researchers, data engineers, and UX teams to translate high-level agent use cases into robust, production-ready software.
Ensure reliability, monitoring, and observability for all agent components (metrics, logging, CI/CD, fault tolerance).
Contribute to architectural design decisions and participate in rigorous code reviews to uphold quality and maintainability.
Requirements 3+ years of professional software engineering experience with strong proficiency in Python in production environments.
Proficiency in native agentic coding, demonstrated through the daily use of tools like Cursor, Claude Code, and other agentic coding platforms.
Demonstrated experience building distributed systems, microservices, or complex backend APIs that support AI/agent workflows.
Solid expertise with systems that integrate AI models, agent frameworks (e. g., Lang Chain or platform-specific tooling), vector databases, and large context reasoning services.
Understanding of agent orchestration patterns, state management, and asynchronous workflows.
Experience with cloud platforms (e. g., AWS, GCP, Azure), containerization (Docker, Kubernetes), and operational engineering best practices.
Good grasp of performance optimization, testing frameworks, and CI/CD pipelines.
Excellent communication and collaboration skills, with a “connect + challenge + own” mindset.
Past work on AI agents that coordinate multi-step actions, reasoning, or autonomous decision-making loops.
Contributions to open-source agent toolkits or SDKs.
Experience with frontend technologies (React, Type Script) for tooling around agent management interfaces.
ATS Optimization Keywords Hard Skills Python agentic coding distributed systems microservices backend APIs AI models integration agent frameworks vector databases cloud platforms performance optimization Soft Skills communication collaboration problem-solving mindset #J-18808-Ljbffr
