Senior AI Software Engineer
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- Design, develop, deploy and maintain production-ready GenAI applications, including internal AI assistants, RAG systems, agents and document-processing solutions.
- Build Python backend services, APIs and integrations with client systems.
- Develop solutions using LLM integrations, MCP, embeddings, vector databases and context management.
- Take end-to-end ownership of solutions, from technical discovery and architecture through implementation, deployment, monitoring and continuous improvement.
- Standardise and package solutions for deployment across different client environments.
- Contribute to architectural decisions and define best practices for software development, GenAI evaluation, observability, scalability and maintainability.
- Understand client business needs, challenge requirements and propose pragmatic, product-oriented solutions. Requirements
- 5+ years of experience in software engineering.
- Strong Python backend development skills, using FastAPI or similar frameworks.
- Strong knowledge of software design and application architecture.
- Good understanding of RAG architectures, GenAI agents, context management and LLM integrations.
- Ability to deliver solutions from POC to production, covering backend development, infrastructure, deployment and integration.
- Comfortable working with cloud environments, servers, networking fundamentals, CI/CD and production operations. Nice to have
- Familiarity with the team’s technology stack: Azure AI Foundry, LangChain, LangGraph and OpenAI/Azure OpenAI.
- Experience with PostgreSQL, vector databases, embeddings and ETL/ELT pipelines.
- Experience with Azure, Docker and Kubernetes. Also good to know
- Strong ownership mindset, autonomy and initiative.
- Ability to quickly understand new business domains and adapt to changing client contexts.
- Pragmatic approach focused on solving real business problems.
- Comfortable working in a fast-paced environment.
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