Basic job summary:
The Senior Software Engineer will be responsible for designing, building, and operationalizing software infrastructure. This role will lead the full-stack development and system integration of backend services, APIs, and data pipelines.
Responsibilities:
Software Development and Design
Collaborate with the project technical lead and other team members to analyze requirements and design software solutions for AI applications.
Develop, test, and debug software components for data exchange gateways, and cloud platforms.
Assist in implementing data management, analytics, and visualization features for AI applications.
Implement engineering frameworks that enable LLM-based advisory systems, including retrieval-augmented generation (RAG), structured knowledge integration, and prompt orchestration.
Integrate soil, weather, and agronomic datasets into retrieval and reasoning pipelines to support contextualized and actionable advisory outputs.
Support experimentation with different GenAI architectures and system configurations in collaboration with data science teams.
Develop or support frontend and interface components (e.g. dashboards, admin tools, sandbox interfaces) required for internal testing, monitoring, and partner integration.
Implement technical controls to support data governance requirements, including consent-aware data access, role-based permissions, and audit logging.
Participate in code reviews and maintain coding standards and best practices.
.Quality Assurance and Testing
Debug Identify and address any software-related issues, anomalies, or performance bottlenecks.
Collaborate with the Quality Assurance team to ensure a high-quality optimized code solution.
Ensure the security and integrity of AI software systems, implementing encryption, authentication, and access control mechanisms as necessary.
Perform code reviews, testing, and debugging activities to maintain high quality and reliability in software deliverables.
Ensure secure handling of sensitive or regulated data in line with Kenya's Data
Protection Act and project governance frameworks.
Embed responsible AI considerations into system design, including safeguards, escalation pathways, and human-in-the-loop mechanisms where required.
Documentation and Reporting
Create and maintain comprehensive repository documentation for software designs, iterations, specifications, and testing procedures.
Develop standard operating procedures (SOPs) for software MVP development and testing.
Generate simulation and evaluation software code report before final release version for deployment
Collaboration and Support
Collaborate with research, data science and engineering teams to meet project timelines and deliverables.
Provide technical guidance and mentorship to junior software developers, fostering a culture of innovation and continuous learning
Minimum Academic Qualifications:
Bachelor's degree or Master's degree in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical field from a recognized institution
Experience:
Applicants should possess a minimum of 7 years' experience in software development