Jodayn is seeking a highly skilled Senior AI Product Engineer to lead the design, development, and deployment of enterprise-grade artificial intelligence solutions and intelligent automation platforms.
The successful candidate will play a critical role in developing scalable AI-powered products and reusable enterprise AI services that support digital transformation, governance automation, proposal evaluation, intelligent document processing, and enterprise workflow optimisation.
This role requires a strong engineering mindset combined with hands-on experience in modern AI frameworks, large language model integration, AI orchestration, backend engineering, and enterprise solution development.
The ideal candidate must be capable of independently designing and delivering production-ready AI systems in fast-paced enterprise environments.
Requirements
AI Platform Engineering
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Design, develop, and maintain scalable enterprise AI platforms and intelligent automation solutions
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Build modular and reusable AI services and APIs
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Develop AI-powered workflow automation systems and intelligent orchestration pipelines
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Design and implement scalable backend architectures supporting AI workloads
Agentic AI Development
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Build autonomous and semi-autonomous AI agents
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Develop multi-agent orchestration workflows and task delegation systems
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Implement memory management and contextual reasoning capabilities
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Integrate AI systems with external tools, APIs, and enterprise applications
Large Language Model Integration
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Integrate and optimise large language model services including Claude, OpenAI, and open-source models
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Develop prompt orchestration pipelines and retrieval-augmented generation architectures
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Implement vector database integration and semantic search capabilities
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Optimise model performance, response quality, and operational efficiency
Enterprise System Integration
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Integrate AI platforms with enterprise systems, collaboration tools, and document repositories
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Develop secure API integration patterns
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Support authentication and identity integration requirements
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Build AI-enabled enterprise workflow capabilities
Proposal & Compliance Automation
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Develop intelligent proposal generation and evaluation systems
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Build compliance validation and document inspection workflows
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Implement AI-assisted scoring and recommendation engines
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Support enterprise governance automation initiatives
Infrastructure & Deployment
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Deploy AI applications in cloud, hybrid, and on-premise environments
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Configure logging, observability, monitoring, and operational diagnostics
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Support containerisation and deployment automation practices
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Optimise infrastructure scalability and operational cost efficiency
Required Qualifications
Education
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Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field
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Master’s degree is preferred but not mandatory
Experience
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Minimum 7 years of software engineering experience
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Minimum 3 years practical experience developing AI-powered applications
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Proven experience building and deploying production-grade AI systems
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Experience working in enterprise or regulated environments preferred
Required Technical Skills
Programming & Backend Development
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Python
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FastAPI or equivalent backend frameworks
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RESTful APIs
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PostgreSQL or equivalent databases
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Git and version control systems
AI Technologies
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Claude APIs
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OpenAI APIs
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LangGraph
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LangChain
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Retrieval-Augmented Generation
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Vector databases
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Prompt orchestration
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AI workflow automation
Frontend & Integration
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React or Next.js
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API integration
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Authentication and access control concepts
Infrastructure & DevOps
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Docker
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Linux environments
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CI/CD pipelines
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Cloud deployment concepts
Preferred Skills
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Experience with enterprise AI governance solutions
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Experience with intelligent document processing systems
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Experience using AI-assisted development tools
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Exposure to multi-agent systems and orchestration frameworks
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Familiarity with enterprise architecture concepts
Core Competencies
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Strong analytical and problem-solving skills
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Ability to independently deliver complex technical solutions
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Strong software design capability
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Fast execution and delivery orientation
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Excellent communication and documentation skills
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Ability to work in fast-paced enterprise environments