Senior AI Product Engineer

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

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