Senior AI Product Engineer

About the role

Requirements

• 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
• Required Qualifications
• 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
• Required Technical Skills
• 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

Responsibilities

Skills

• Python
• FastAPI
• RESTful APIs
• PostgreSQL
• Git
• Claude APIs
• OpenAI APIs
• LangGraph
• LangChain
• Retrieval-Augmented Generation
• Vector databases
• Prompt orchestration
• AI workflow automation
• React
• Next.js
• API integration
• Authentication and access control
• Docker
• Linux
• CI/CD
• Cloud deployment