Job Description
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
- 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
