Senior AI Engineer
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Salary
≈ $25k – $61k per year (Estimated)
Location
In office
Seniority
Senior
Employment
Full-Time
Overview
Company
Impact
Profile match
Job Mail is a South African online job board offering a large selection of vacancies across the country and some positions abroad. Job seekers can search and apply for jobs online, upload a CV and receive job alerts, while employers and recruitment agencies can advertise positions to a broad national audience. The brand is one of the longer-established names in South African job advertising and is operated from South Africa.
Minimum requirements (Advantageous):
- Advanced commercial Node.js experience.
- Advanced TypeScript.
- Strong backend software engineering and API design.
- Strong PostgreSQL knowledge.
- Solid understanding of relational data modelling and database performance.
- Practical understanding of LLMs and modern AI application development.
- Understanding of embeddings, semantic similarity and vector search.
- Experience with or strong understanding of vector databases / pgvector.
- Understanding of graph databases and knowledge graphs.
- Understanding of agentic AI, tool calling and multi-step AI workflows.
- Experience building integrations between different systems and APIs.
- Comfortable with asynchronous processing, queues, scheduled jobs and event-driven architectures.
- Strong Git and modern software-development practices.
- Experience using AI coding agents/coding assistants as part of serious software development, not simply autocomplete.
- AWS, Docker, ECS, S3, Redis, Bedrock, OpenAI, Anthropic, Mastra, MCP, RAG architectures, pgvector, Neo4j or other graph databases.
- OAuth/OIDC, event-driven architectures, workflow engines and infrastructure as code.
- Build production AI applications and agentic systems using Node.js and TypeScript.
- Design backend services, APIs, integrations and event-driven systems.
- Build agentic workflows where AI agents use tools, data and other agents to complete real business tasks.
- Work with LLMs from multiple providers and understand model selection, context management and tool/function calling.
- Design and implement AI memory and organisational knowledge systems.
- Work extensively with PostgreSQL, including schema design, complex queries, performance and production data architecture.
- Implement embeddings, semantic search, RAG and vector retrieval, including PostgreSQL/pgvector and dedicated vector databases where appropriate.
- Understand and work with graph data and graph databases, including relationships between people, systems, processes, documents and organisational knowledge.
- Build integrations with internal and external systems through APIs, MCP servers and other tool interfaces.
- Design reliable long-running AI processes involving scheduled events, human approvals and asynchronous execution.
- Use modern AI coding agents as a core part of the development process while maintaining engineering quality, testing and code review.
- Help establish engineering patterns, reusable components and technical standards for AI-first development.
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