Senior AI Product Engineer

Overview

AI Platform Engineering

• Design, develop, and maintain scalable enterprise AI platforms and intelligent automation solutions
• Build modular and reusable AI services and APIs
• Develop AI-powered workflow automation systems and intelligent orchestration pipelines
• Design and implement scalable backend architectures supporting AI workloads

Agentic AI Development

• Build autonomous and semi-autonomous AI agents
• Develop multi-agent orchestration workflows and task delegation systems
• Implement memory management and contextual reasoning capabilities
• Integrate AI systems with external tools, APIs, and enterprise applications

Large Language Model Integration

• Integrate and optimise large language model services including Claude, OpenAI, and open-source models
• Develop prompt orchestration pipelines and retrieval-augmented generation architectures
• Implement vector database integration and semantic search capabilities
• Optimise model performance, response quality, and operational efficiency

Enterprise System Integration

• Integrate AI platforms with enterprise systems, collaboration tools, and document repositories
• Develop secure API integration patterns
• Support authentication and identity integration requirements
• Build AI-enabled enterprise workflow capabilities

Proposal & Compliance Automation

• Develop intelligent proposal generation and evaluation systems
• Build compliance validation and document inspection workflows
• Implement AI-assisted scoring and recommendation engines
• Support enterprise governance automation initiatives

Infrastructure & Deployment

• Deploy AI applications in cloud, hybrid, and on-premise environments
• Configure logging, observability, monitoring, and operational diagnostics
• Support containerisation and deployment automation practices
• Optimise infrastructure scalability and operational cost efficiency

Education

• Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field
• Master’s degree is preferred but not mandatory

Experience

• Minimum 7 years of software engineering experience
• Minimum 3 years practical experience developing AI-powered applications
• Proven experience building and deploying production-grade AI systems
• Experience working in enterprise or regulated environments preferred

Programming & Backend Development

• Python
• FastAPI or equivalent backend frameworks
• RESTful APIs
• PostgreSQL or equivalent databases
• Git and version control systems

AI Technologies

• Claude APIs
• OpenAI APIs
• LangGraph
• LangChain
• Retrieval-Augmented Generation
• Vector databases
• Prompt orchestration
• AI workflow automation

Frontend & Integration

• React or Next.js
• API integration
• Authentication and access control concepts

Infrastructure & DevOps

• Docker
• Linux environments
• CI/CD pipelines
• Cloud deployment concepts

Preferred Skills

• Experience with enterprise AI governance solutions
• Experience with intelligent document processing systems
• Experience using AI-assisted development tools
• Exposure to multi-agent systems and orchestration frameworks
• Familiarity with enterprise architecture concepts

Core Competencies

• Strong analytical and problem-solving skills
• Ability to independently deliver complex technical solutions
• Strong software design capability
• Fast execution and delivery orientation
• Excellent communication and documentation skills
• Ability to work in fast-paced enterprise environments