AI Native Software Engineer in London

Overview: TekWissen Group is a workforce management provider throughout the UK, Europe and many other countries in the world. The client below is a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more than 40 industries.

Location: London, UK

Work type: Hybrid

Duration: 6 Months

Job Summary: We are seeking a hands-on AI Native Software Engineer to design, build, and deploy production-grade AI-driven systems within complex enterprise environments. In this role, you will focus on agent-based architectures, AI platform integration, and cloud-native development, delivering scalable, reliable solutions that power real business workflows. This is a 100% hands-on engineering role, ideal for a senior technologist who thrives at the intersection of AI systems, software engineering, and cloud infrastructure.

Key Responsibilities:

• Design, implement, and maintain AI agent workflows, including retrieval-augmented generation (RAG), orchestration, tool/function invocation, and policy-based routing.
• Build cloud-native backend services and APIs to support AI-driven applications and enterprise integrations.
• Implement evaluation, monitoring, and observability frameworks to ensure accuracy, latency, reliability, and system health across AI agent lifecycles.
• Optimize AI and system performance across cost, scalability, and latency dimensions in production environments.

Deliverables or Project Scope:

• Production-ready AI-powered applications aligned to defined business workflows and enterprise standards.
• Scalable multi-model and multi-provider AI architectures, including abstraction layers for provider flexibility.
• Fully deployed cloud-native services using microservices, containers, and serverless or event-driven patterns.
• Robust CI/CD pipelines, infrastructure-as-code implementations, logging, monitoring, and fault-tolerant deployments.

Collaboration Tools or Platforms:

• Microsoft Office (Excel, Word, Outlook, Teams)
• AI Platforms & Models: OpenAI, Anthropic (Claude), Google Vertex AI, and select open-source models.
• Agent & Orchestration Frameworks: LangGraph, AutoGen, CrewAI (or similar).
• Cloud & DevOps Tooling: Docker, Kubernetes, Terraform, Helm, CI/CD pipelines.
• Enterprise Integration: APIs, enterprise platforms, monitoring and observability tools.

Why You’ll Love This Role:

• Build real, enterprise-grade AI systems that move beyond experimentation into production.
• Remain deeply technical in a 100% hands-on engineering role with no people-management responsibilities.
• Work with modern AI platforms, multi-model architectures, and cloud-native technologies.
• Focus on high-impact delivery with clear scope, measurable outcomes, and implementation ownership.
• Collaborate with experienced engineering teams in an execution-driven environment.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field or equivalent practical experience.
• 8–10+ years of professional software engineering experience with ownership of production systems.
• 3+ years of hands-on experience building and deploying AI/LLM-based systems in production (agents, RAG pipelines, orchestration).
• Strong experience designing and delivering cloud-native systems, including APIs, microservices, containers, and serverless or event-driven architectures.
• Proficiency in Python, Java, or comparable backend languages.
• Hands-on experience with CI/CD pipelines, infrastructure as code, and monitoring or observability tools.
• Proven ability to deliver production-quality code, including testing, debugging, performance tuning, and operational readiness.

Preferred Qualifications:

• Experience with agent frameworks such as LangGraph, AutoGen, CrewAI, or similar.
• Experience designing multi-agent or distributed AI systems.
• Familiarity with multi-model and multi-provider AI architectures.
• Experience integrating AI solutions into enterprise-scale systems or platforms.
• Demonstrated experience optimizing AI workloads for cost, performance, and latency.

Additional Information / Requirements:

• This is a 100% hands-on engineering role with no people-management responsibilities.
• Strong problem-solving skills and technical judgment in complex enterprise environments.
• Ability to collaborate effectively with internal and client engineering teams.
• Comfortable working within existing architecture standards, security requirements, and engineering best practices.
• Strong written and verbal communication skills for technical documentation and design discussions.

TekWissen Group is an equal opportunity employer supporting workforce diversity.