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Role purpose

The AI Agent Developer designs and builds the AI agents and assistants that make VisionONE easier to use, sell and support. This includes a voice/chat assistant for the website, in-product AI reporting and assistance, and automation across ERP, payroll and compliance workflows. You will turn business problems into reliable, safe, production-grade AI features — owning the full loop from prompt and retrieval design to deployment, evaluation and iteration.

Key responsibilities

AI agent & assistant development

• Design and build conversational and voice AI agents, including a website assistant, pre-sales and support bots, and WhatsApp-based automation.
• Implement natural, on-brand interactions with clear scope, fallbacks and human hand-off.

LLM integration & orchestration

• Integrate LLM APIs and build orchestration using retrieval-augmented generation (RAG), tool/function calling and structured outputs.
• Build and maintain knowledge bases and vector retrieval over VisionONE product, support and compliance content for India and Kenya, including GST/TDS/payroll topics and eTIMS/KRA workflows.

Automation & in-product AI

• Develop AI-assisted reporting, summarisation and workflow automation within the ERP environment, including finance, payroll and statutory workflows relevant to India and Kenya.
• Identify repetitive, high-volume tasks that AI can accelerate and build safe, measurable solutions.

Prompt engineering & evaluation

• Design prompts, guardrails and system instructions that keep outputs accurate, safe and on-brand.
• Build evaluation sets and test harnesses; measure quality, latency and cost, and iterate based on results.

Safety, guardrails & compliance

• Implement safeguards including clear AI disclosure, consent for recording/transcription, sensitive-data masking, authentication before accessing customer data and immediate human hand-off.
• Ensure AI features do not present legal, tax or compliance guarantees; use appropriate sourcing and human hand-off for statutory topics; and follow applicable data-protection requirements in India and Kenya.

Engineering, monitoring & collaboration

• Build supporting services and APIs and handle authentication, webhooks, rate limits and background processing.
• Log and monitor agent behaviour; set up alerting for failures, unsafe responses or drift and iterate from real usage.
• Work closely with product, web and support teams to embed AI where it adds measurable value.

Required qualifications & experience

• Degree in Computer Science, Data Science, AI/ML or a related field — or equivalent demonstrable experience.
• 2–4 years in software development, including at least 1 year building with LLMs / AI in real projects.
• Examples of AI features, agents or automations you have shipped, such as work samples, repositories or demos.

Technical skills

• Languages: strong Python; comfort with JavaScript/TypeScript.
• LLMs: hands-on integration of LLM APIs such as OpenAI, Anthropic, Groq or similar; agent/RAG pipelines using established frameworks or custom code.
• Retrieval: embeddings and vector stores such as pgvector, Chroma, FAISS or Pinecone; chunking and knowledge-base design.
• APIs & backend: REST, webhooks, authentication, async processing, queues and SQL databases.
• Ops: Docker, cloud deployment, CI/CD, secrets management, logging and monitoring.
• Practice: prompt engineering, evaluation methods and awareness of cost, latency and safety trade-offs.

Preferred / nice to have

• Voice AI / speech technologies such as STT/TTS and telephony or conversational platforms.
• WhatsApp Cloud API and messaging integrations.
• Familiarity with C#/.NET, SQL Server and enterprise/ERP data models.
• Angular exposure for embedding AI features in the product UI.

Key competencies

• Strong problem decomposition
• Pragmatism and shipping mindset
• Rigour around safety and evaluation
• Curiosity and fast learning
• Clear written communication
• Collaboration across product and business teams

What success looks like in the first 12 months

• First 30–60 days: understand the product and data; ship a first useful assistant or automation with appropriate guardrails.
• By 90 days: operate an in-production agent with measurable resolution/containment, monitoring and an evaluation loop in place.
• Ongoing: improve answer accuracy and user satisfaction, control latency and cost per interaction, grow a library of safe reusable AI components and maintain clean hand-off to humans when needed.

Role purpose

The Full Stack Developer designs, builds and improves end-to-end features across the VisionONE cloud ERP platform and related digital services. You will work across the Angular front end, C#/.NET services, SQL data layer and REST-based integrations to deliver secure, maintainable and high-performing business software. You will collaborate closely with product, implementation, support and AI teams to turn business requirements into production-ready features used by customers across Kenya and India.

Key responsibilities

Full-stack product development

• Design, develop, test and maintain production features across the VisionONE ERP application.
• Build responsive, accessible and reusable user interfaces using Angular, TypeScript, HTML and CSS.
• Develop and maintain backend services, business logic and APIs using C#/.NET.
• Translate functional requirements into clean technical designs that fit the existing product architecture.

Data, APIs & integrations

• Design and optimise SQL queries, stored procedures and data access patterns for transactional business workflows.
• Build and maintain REST APIs, webhooks and integrations with external services and partner systems.
• Support integrations for ERP, payroll, payments and statutory workflows, including GST, e-invoicing/e-way bills, TDS and payroll compliance in India, alongside eTIMS/KRA-related workflows in Kenya.
• Protect data integrity through validation, authentication, authorisation and appropriate error handling.

Quality, performance & security

• Write clean, well-structured and documented code and participate in code reviews.
• Create and maintain unit, integration and regression tests for critical functionality.
• Troubleshoot production issues, identify root causes and implement durable fixes.
• Improve application performance, reliability and security using sound engineering practices and general OWASP awareness.

Delivery & collaboration

• Use Git-based workflows and contribute to reliable build, release and deployment processes.
• Work with Docker, cloud environments and CI/CD practices where applicable.
• Collaborate with product, QA, support, implementation and AI teams across Kenya and India.
• Document important technical decisions, deployment notes and operational dependencies.

Required qualifications & experience

• Degree or diploma in Computer Science, Software Engineering, IT or a related field — or equivalent demonstrable experience.
• 2–4 years building and maintaining production web applications across both front-end and back-end layers.
• Examples of applications, modules or features you have shipped or significantly contributed to.
• Strong problem-solving skills and the ability to work from business requirements through implementation and support.

Technical skills

• Front end: Angular, TypeScript/JavaScript, HTML5, CSS3, responsive and cross-browser development.
• Back end: C# and .NET, API/service development, authentication and business-logic implementation.
• Data: SQL and relational database design; SQL Server experience is preferred.
• Integration: REST APIs, JSON, webhooks and third-party service integration.
• Engineering workflow: Git, code review, debugging, testing and structured release practices.
• Operations: familiarity with Docker, cloud deployment, CI/CD, logging and monitoring.

Preferred / nice to have

• Experience with ERP, accounting, payroll, HR, inventory, procurement, statutory compliance or other transaction-heavy business systems in India and/or Kenya.
• Exposure to cloud platforms such as Azure or AWS.
• Experience with performance tuning, secure coding and production monitoring.
• Familiarity with statutory integration patterns, AI-assisted features, messaging integrations or enterprise integration patterns.

Key competencies

• Ownership and reliability
• Strong problem decomposition
• Attention to detail
• Pragmatic engineering judgement
• Clear communication
• Collaboration across product and business teams

What success looks like in the first 12 months

• First 30–60 days: understand the product architecture, development workflow and priority modules; deliver useful fixes and small enhancements safely.
• By 90 days: independently ship end-to-end product features with appropriate testing, documentation and deployment support.
• Ongoing: improve product reliability, performance and maintainability while contributing reusable components, cleaner integrations and faster delivery of customer value.

Role purpose

The Sales Executive drives demand and revenue for VisionONE across India and Kenya. This is a hands-on B2B sales role for someone who can generate and qualify leads, run compelling product demonstrations, manage opportunities through the sales cycle and support market-facing campaigns and partner activity. You will be a key voice of VisionONE to prospects and a source of practical market feedback for the product team.

Key responsibilities

Lead generation & prospecting

• Identify, research and qualify B2B prospects across target industries including manufacturing, distribution, construction, agriculture, property and services in Kenya and India.
• Run outbound outreach through email, LinkedIn and calls, and follow up promptly on inbound leads from the website and campaigns.
• Build and maintain a healthy, well-qualified sales pipeline.

Sales process & closing

• Manage opportunities end-to-end: discovery, needs analysis, proposal, negotiation and close.
• Present clear, benefit-led value propositions tailored to finance, HR, operations and business decision-makers.
• Maintain accurate CRM records, forecasts, next steps and disciplined follow-up.

Product demonstrations

• Deliver confident, tailored demonstrations of VisionONE ERP, payroll and compliance capabilities.
• Translate product features such as a single database, audit trails, approvals, India-focused GST/e-invoicing/TDS/payroll workflows, Kenya-focused eTIMS/KRA automation, M-Pesa and ESS into concrete business outcomes.
• Represent capabilities accurately and avoid over-promising delivery, pricing or compliance guarantees.

Marketing & partner support

• Support digital marketing activity including LinkedIn/social content, email campaigns, webinars, events and newsletters.
• Contribute to campaign ideas and help prepare or brief sales and marketing collateral aligned to the VisionONE brand.
• Help identify, recruit and support distributors, resellers and implementation partners with product knowledge and basic enablement.

Market intelligence & reporting

• Gather and share market feedback, competitor insights and prospect objections to inform positioning and product priorities.
• Report consistently on lead, pipeline, demo, conversion and revenue metrics.

Required qualifications & experience

• Degree or diploma in Business, Marketing, IT or a related field — or equivalent demonstrable experience.
• 2–4 years in B2B sales, ideally in software/SaaS, ERP, fintech or IT services.
• Track record of generating leads, running product demonstrations and/or contributing to closed business.
• Strong written and verbal communication with confidence presenting to senior stakeholders.

Core skills

• Consultative B2B selling and full sales-cycle management.
• Discovery, needs analysis, solution presentation, negotiation and objection handling.
• CRM proficiency, such as HubSpot, Zoho or similar, with structured pipeline management.
• Digital marketing fundamentals including LinkedIn/social, email marketing, basic SEO and content support.
• Strong organisation, follow-through and target discipline.

Preferred / nice to have

• Understanding of ERP, accounting, payroll or business-compliance topics, including GST, e-invoicing/e-way bills, TDS and payroll statutory requirements in India, as well as eTIMS/KRA requirements in Kenya.
• Experience creating social/marketing content and supporting campaigns.
• An existing network in Kenyan and/or Indian SME and enterprise markets.
• Additional languages relevant to the markets served.

Key competencies

• Drive and target orientation
• Self-management and organisation
• Resilience
• Relationship building
• Commercial curiosity
• Integrity in how the product is represented

What success looks like in the first 12 months

• First 30–60 days: learn the product and target market, build a qualified pipeline and begin delivering effective product demonstrations.
• By 90 days: establish consistent demo and pipeline activity, progress early opportunities and contribute to a steady outreach/campaign cadence.
• Ongoing: meet agreed targets for qualified leads, pipeline value, demos and revenue; strengthen partner activity; and provide useful market feedback to the product team.