TekWissen UK
AI Native Software Engineer
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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.
Role: AI Native Software Engineer
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
Core Duties
- 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
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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
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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.
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