AI Native Software Engineer

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

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