Software Engineer - AI & Product Engineering

About Datastraw

The Role

What You’ll Work On

1. Build & Improve the CX Platform

• Contribute to the development and improvement of our internal CRM and CX platform.
• Build features across customer conversations, agent workflows, automation and reporting.
• Work on systems that support multiple brands, teams and workflows.
• Improve the existing platform rather than constantly rebuilding from scratch.
• Identify technical debt and help improve code quality, reliability and maintainability.

2. AI & Customer Experience

• AI-assisted customer response generation
• Brand, SOP and knowledge-base retrieval
• Agent copilots
• Conversation analysis
• Automated escalation and routing
• AI voice and chat experiences
• Customer intent and sentiment understanding
• Workflow automation
• Evaluation and monitoring of AI responses
• Systems that combine human agents with AI

3. Integrations & Infrastructure

• WhatsApp and messaging platforms
• Email and ticketing systems
• Shopify Admin API
• Meta WhatsApp API
• Instagram Graph API

• React
• Supabase
• PostgreSQL
• Supabase Auth
• Edge Functions / RPCs
• Webhooks
• Qdrant
• OpenRouter
• DeepInfra
• LLM and AI APIs

4. Engineering Practices

• Development workflows
• Git and branching practices
• Code reviews
• Documentation
• Testing
• Deployment processes
• Monitoring and logging
• Security and access controls
• Technical planning and estimation

5. Grow Towards Tech Lead

• Architecture and technical decisions
• Technical planning
• Engineering processes
• Mentoring junior engineers and interns
• Technical hiring and candidate evaluation
• Delegating technical work
• Technology roadmap
• Building and growing the technology team

6. Technology Strategy & Cost Ownership

• Shaping Datastraw’s technology roadmap and connecting technical priorities with business needs.
• Managing and optimising technology costs across infrastructure, APIs, AI/LLM usage and third-party tools.
• Evaluating technologies and vendors to make practical decisions around performance, scalability and cost.
• Contributing to build-vs-buy decisions and helping keep technology and AI spending efficient.
• Tracking technology costs as the platform grows and identifying opportunities to optimise them.

What We’re Looking For

• Have 1-3 years of professional software engineering experience.
• Have worked as part of a product or engineering team.
• Have experience taking ownership of features from development to deployment.
• Are comfortable working in an early-stage or fast-changing environment.
• Have strong backend and API fundamentals.
• Understand databases, authentication, APIs, webhooks and integrations.
• Have experience with React and modern web application development.
• Have worked with PostgreSQL or a similar relational database.
• Have experience with cloud-based platforms such as Supabase, AWS, GCP, Azure or similar.
• Are comfortable reading existing code and improving it.
• Can communicate technical concepts clearly.
• Can make sensible technical trade-offs rather than over-engineering everything.
• Are organised and enjoy solving practical problems.
• Have an interest in AI/LLMs and are willing to learn and experiment with them.

You’ll Be a Particularly Strong Fit If You Have

• Experience building internal tools, SaaS products or B2B platforms.
• Experience with AI/LLM applications.
• Experience with RAG, vector databases or knowledge retrieval systems.
• Experience building AI agents or agent-assist systems.
• Experience integrating WhatsApp, Shopify or other commerce/CX platforms.
• Experience working with Supabase, PostgreSQL and serverless/edge functions.
• Experience mentoring or collaborating closely with other developers.
• Experience working in a start-up or an environment where you had significant ownership.

What We Don’t Need

• Has only worked on very narrowly defined tickets.
• Needs a fully established engineering organisation around them.
• Wants every technical decision to already be made for them.
• Equates good engineering with building complex systems.
• Is interested in technology only for the sake of using the latest tools.

Your First 6 Months

First 30 Days

• Understand the existing CRM, architecture, codebase and integrations.
• Understand how Datastraw’s CX operations work.
• Identify major technical risks and bottlenecks.
• Start contributing directly to the product.

30-90 Days

• Take ownership of features and improvements.
• Improve reliability, documentation and development workflows.
• Ship meaningful improvements to the CRM and platform.
• Start contributing to technical planning and engineering processes.

3-6 Months

• Take ownership of larger technical areas.
• Contribute to architecture and technical decisions.
• Help improve scalability, observability and security.
• Start taking on responsibilities that prepare you for future Tech Lead ownership.

Why Join Datastraw?

• Work on a real product used by CX teams and customers.
• Shape and improve the architecture of an early-stage platform.
• Work directly with founders and CX operators.
• Work across product development, integrations, automation and modern technologies.
• Take ownership of meaningful technical problems.
• Learn and grow alongside the technology function.
• Gradually take on leadership responsibilities.
• Grow into a Tech Lead role as you develop your technical and leadership skills.