Software Engineer

Management Level

Job Description & Summary

Key Responsibilities: 

• Full-Stack Development Develop, test, and deploy high-quality web applications using Angular for the front end, Node.js for the back end, .NET for enterprise services, and SQL for database management. 

• Collaboration and Communication Work closely with cross-functional teams, including UX/UI designers, product managers, and other developers, to ensure seamless integration and alignment with business objectives. 

• Code Quality and Best Practices Adhere to and advocate for coding standards, perform code reviews, and implement best practices to maintain high code quality and improve system performance. 

• System Design and Architecture Contribute to the design and architecture of scalable and maintainable applications, ensuring robust, secure, and efficient system structures. 

• Problem-Solving and Debugging Diagnose, troubleshoot, and resolve complex technical issues across various layers of the application stack, ensuring minimal disruption to the business. 

• Performance Optimization Optimize application performance, including front-end responsiveness, server-side processing, and database queries, to deliver high-performing solutions. 

• Continuous Integration and Deployment (CI/CD) Implement and maintain CI/CD pipelines to streamline the deployment process, ensuring smooth and reliable releases. 

• Documentation Maintain comprehensive and up-to-date documentation for all developed systems, including technical specifications, API documentation, and user guides. 

• Security and Compliance Ensure that applications adhere to security best practices and comply with relevant regulations and corporate policies, mitigating risks and protecting sensitive data. 

• Mentorship and Knowledge Sharing Provide guidance and mentorship to junior developers, fostering a culture of continuous learning and knowledge sharing within the team 

• Agent Systems Engineering Design, build, and operate enterprise agent capabilities, including multi-agent orchestration, intent routing, stateful workflow coordination, grounded response composition, and secure tool-use patterns. 

• Retrieval-Augmented Knowledge Engineering Build and optimise RAG pipelines across document ingestion, parsing, chunking, metadata enrichment, embeddings, indexing, retrieval relevance tuning, and grounding quality. 

• Applied AI Research and Prototyping Evaluate emerging models, frameworks, retrieval strategies, and interaction patterns through proof-of-concepts, comparative benchmarking, feasibility assessment, and production adoption recommendations. 

• Observability, Evaluation, and MLOps Instrument prompts, traces, tool calls, retrieval context, latency, and runtime metadata; define evaluation frameworks for routing accuracy, retrieval relevance, hallucination risk, and user outcome quality; and deploy agent services through CI/CD and cloud-native platforms. 

Qualifications: 

• A bachelor's degree / diploma in IT, Computer Science, Data Science, or a related technical field. 

• Certifications in the full stack technologies mentioned are advantageous.  

• Industry-recognized certifications in project management and leadership could also be valuable for this role.  

• Practical experience building production agent systems, RAG-enabled applications, or LLM-powered enterprise solutions, including the ability to translate experiments and prototypes into production-ready capabilities. 

• Certifications or practical exposure in AI/ML, cloud AI services, platform engineering, data engineering, enterprise security, governance, and compliance frameworks are advantageous. 

Desired Skills and Experience: 

- Proficient in Angular, Node.js, .NET, and SQL, with the ability to develop, test, and deploy high-quality web applications using these technologies. 

- Experience in implementing and maintaining CI/CD pipelines, code quality standards, system design and architecture, and performance optimization techniques. 

- Knowledge of security and compliance best practices for web development, and the ability to mitigate risks and protect sensitive data. 

- Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams and stakeholders. 

- Willingness to mentor and share knowledge with junior developers, and to learn new skills and technologies as required. 

- Hands-on experience with agent orchestration frameworks, stateful workflows, tool-calling patterns, enterprise model platforms, multi-model strategies, vector databases, embeddings, semantic retrieval tuning, and relevance evaluation. 

- Working knowledge of observability tooling, trace analytics, prompt lifecycle management, AI security, privacy, governance, responsible-use controls, Kubernetes or equivalent cloud-native environments, and structured AI research methods. 

Travel Requirements

Available for Work Visa Sponsorship?

Job Posting End Date