Lead Software Engineer

Job Details:

Lead the technical direction of AI-native product development - owning architecture, raising engineering standards, and helping the team ship with confidence. You bring strong fullstack depth, a pragmatic mindset, and the ability to grow the engineers around you.

What You'll Do:

-Technical Leadership

• Own key architecture decisions across backend, AI, and frontend - communicate trade-offs clearly and drive them to closure.
• Set and uphold engineering standards: code quality, testing, observability, and delivery practices.
• Identify technical risk early and propose practical paths forward.
• Stay hands-on - lead by example through code, review, and design.

-Engineering

• Design and build scalable backend services and AI-powered features end-to-end.
• Architect LLM integrations, RAG pipelines, and data flows that work reliably in production.
• Build frontend experiences that surface AI capabilities intuitively.
• Champion test-first development, observability, and automated delivery.

-People & Collaboration

• Mentor and grow engineers through review, pairing, and honest feedback.
• Partner with product and other teams to align technical work with business outcomes.
• Lead design discussions and help the team make good decisions faster.

What We're Looking For:

-Technical Depth

• 8+ years of fullstack engineering experience, with a track record of shipping production systems.
• Strong fullstack background - comfortable across backend services, APIs, and modern frontend development.
• Experience building and shipping AI or data-intensive features in production.
• Solid grasp of software design principles, distributed systems, and delivery practices.
• Hands-on with CI/CD, containerisation, and production observability.

-Leadership

• Track record of owning technical strategy and driving outcomes - not just executing tasks.
• Experience mentoring engineers and raising the bar across a team.
• Clear communicator: can translate complexity for both technical and non-technical audiences.

-Backend & AI

• Python; strong async, Pydantic, and API design.
• FastAPI in production; RESTful and event-driven patterns.
• Redis — caching, pub/sub, task queues (Celery / RQ / ARQ).
• LangChain or similar; RAG: chunking, embeddings, retrieval.
• Prompt engineering; hands-on with OpenAI, Claude, or Gemini.
• Vector stores: Pinecone, pgvector, or equivalent.

-Frontend

• React with hooks, context, and TypeScript.
• Streaming UI patterns — SSE, WebSockets.
• Component testing with React Testing Library / Vitest.

-Delivery & Quality

• CI/CD with GitLab or equivalent; Docker; Kubernetes or ECS familiarity.
• TDD mindset — pytest and Jest/Vitest, coverage gates enforced in CI.
• Observability: OpenTelemetry, Grafana, or similar.

Working Style:

We move fast using AI-assisted workflows. As Lead, you model this - using modern tooling daily while maintaining clear code ownership, thorough testing, and sound architectural judgment. You set the pace and the standard. Speed and craft are both the expectation.