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About the Company
Job Description: AI-Native Software Engineer
About the Role
We are seeking a hands-on AI-Native Software Engineer to design, build, and deploy production-grade AI-driven systems for enterprise environments. You will work at the intersection of software engineering, artificial intelligence, and cloud technologies to develop intelligent applications that automate business processes, enhance decision-making, and create measurable business value. This role requires someone who is passionate about building with the latest AI technologies, thrives in a fast-paced environment, and has experience delivering scalable, secure, cloud-native solutions. You will design agent-based workflows, integrate AI platforms with enterprise systems, and build robust applications that are ready for production.
Responsibilities
- Design, develop, and deploy production-grade AI applications and intelligent automation solutions.
- Build and orchestrate AI agent workflows using modern agent frameworks and LLM technologies.
- Integrate AI platforms with enterprise applications, APIs, databases, and business systems.
- Develop scalable cloud-native applications and microservices using modern software engineering practices.
- Build Retrieval-Augmented Generation (RAG) pipelines, vector search capabilities, and knowledge-based AI solutions.
- Implement secure, reliable, and observable AI systems with appropriate monitoring, logging, and governance.
- Collaborate with product managers, architects, and business stakeholders to translate requirements into AI-enabled solutions.
- Optimize AI applications for performance, latency, scalability, and cost efficiency.
- Participate in architecture reviews, code reviews, testing, and CI/CD processes.
- Stay current with emerging AI frameworks, models, and engineering best practices, recommending improvements where appropriate.
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Qualifications
- Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
- 3+ years of software engineering experience with production application development.
- Experience building applications using Large Language Models (LLMs) and Generative AI technologies.
- Strong proficiency in Python and experience with modern backend development frameworks.
- Experience developing AI agents, orchestration workflows, or autonomous systems.
- Knowledge of AI integration frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, or similar.
- Experience with REST APIs, event-driven architectures, and enterprise system integration.
- Hands-on experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
- Experience with containers and orchestration technologies such as Docker and Kubernetes.
- Familiarity with vector databases, embeddings, Retrieval-Augmented Generation (RAG), and prompt engineering.
- Experience with Git, CI/CD pipelines, automated testing, and DevOps practices.
- Strong problem-solving, communication, and collaboration skills.
Required Skills
Programming Languages
- Python
- JavaScript/TypeScript (preferred)
- SQL
AI & Machine Learning
- Large Language Models (LLMs)
- Agentic AI
- Prompt Engineering
- RAG
- Embeddings
- Vector Databases
- AI Evaluation
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Frameworks & Platforms
- LangChain
- LangGraph
- Semantic Kernel
- CrewAI
- OpenAI APIs
- Azure AI Foundry
- Azure OpenAI
- AWS Bedrock
- Google Vertex AI
Cloud & DevOps
- AWS / Azure / GCP
- Docker
- Kubernetes
- GitHub Actions / Azure DevOps / Jenkins
- Terraform (preferred)
Preferred Skills
- Experience with Microsoft Azure AI, Azure OpenAI Service, AWS Bedrock, or Google Vertex AI.
- Experience with Model Context Protocol (MCP) or AI tool integration standards.
- Knowledge of MLOps, model deployment, monitoring, and governance.
- Experience implementing enterprise AI security, compliance, and responsible AI practices.
- Familiarity with observability platforms, AI evaluation frameworks, and performance monitoring.
- Experience working in Agile/Scrum environments.
Pay range and compensation package
What Success Looks Like
- Deliver production-ready AI solutions that solve real business problems.
- Build scalable, maintainable, and secure AI applications.
- Successfully integrate AI capabilities into enterprise platforms and workflows.
- Improve operational efficiency through intelligent automation.
- Contribute to the adoption of AI engineering best practices across the organization.
Equal Opportunity Statement
Why Join Us
You'll have the opportunity to work with cutting-edge AI technologies, build enterprise-scale intelligent systems, and help shape the next generation of AI-powered products. You'll collaborate with talented engineers, architects, and business leaders while solving complex real-world challenges with modern AI.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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