AI Native Software Engineer
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Job Summary
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: LondonUK
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 Youll 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
- Bachelors 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
