Description :

Duties :

We are looking for a product-minded engineer who can architect the "brain" of our application (AI/RAG/Python) and build the "face" that our customers interact with (React/UI).

In this role, you won't just be integrating APIs.

You will own the full verticaldesigning Agentic workflows, optimizing vector search, and building pixel-perfect, responsive interfaces that make complex data feel intuitive.

If you are passionate about merging traditional software engineering rigor with bleeding-edge AI development, this is your team.

The Tech Stack :

- Frontend : ReactJS, Redux (Saga), Material UI, Storybook.

- Backend : Node.js (Service Layer), Python (AI/Data Layer).

- AI/Data : RAG, LangGraph, pgvector (PostgreSQL), Embeddings.

- Infrastructure : AWS (EKS, Lambda, S3), Docker, Kubernetes.

Key Responsibilities :

AI & Backend Engineering :

- Build and expand Spendscape's intelligence layer, including RAG pipelines, embedding workflows, and model orchestration.

- Design schemas and optimize queries for pgvector to ensure fast, scalable similarity search.

- Develop APIsincluding AI inference endpointsusing Node.js and Python.

- Build prototypes and validate AI-driven features (chat flows, agents, text-to-SQL,insights generation).

Frontend & Product UI :

- Own the UI : Design and develop scalable, responsive web applications using ReactJS and Material UI.

- Translate complex AI outputs (streams, data visualizations) into buttery-smooth user experiences.

- Manage complex frontend state using Redux and Redux Saga.

- Maintain a high bar for UX, ensuring the application feels "magical" and responsive, not static.

Infrastructure & Quality :

- Troubleshoot issues across STAGING and PROD, covering data, web services, and model-serving infrastructure.

- Collaborate with Product and Data teams to define "AI Safety" guardrails and security protocols.

- Conduct code reviews to enforce engineering standards, testability, and security best practices.

Skills :

Qualifications :

- Experience : 5+ years of experience in full stack development.

- Frontend Mastery : Strong experience with ReactJS, Material UI, and component based design systems.

- You care about how the application looks and feels.

- State Management : Experience with Redux and Redux Saga (or similar complex state management libraries).

- Backend Versatility : Proficiency in JavaScript/TypeScript (Node.js) and Python for backend or AI workflows.

- AI/LLM Exposure : Hands-on experience with :

a. RAG architectures.

b. Embedding models and vector strategies.

c. Prompt engineering and model interaction patterns.

- Database Skills : Strong knowledge of relational databases, specifically PostgreSQL and the pgvector extension.

- Cloud Native : Familiarity with AWS services and CI/CD tools (GitHub Actions, CircleCI).

- DevOps & Orchestration : Strong experience with Docker and Kubernetes (EKS, Helm).

- You are comfortable containerizing your own services and debugging deployment issues.

- Agentic Frameworks & Protocols : Hands-on experience with LangChain, LangGraph, or CrewAI.

- Familiarity with emerging standards like MCP (Model Context Protocol), Agent-to-Agent (A2A) communication, and Agentic UI (AG-UI) patterns.

- SaaS Scale : Experience building SaaS applications with heavy data pipelines or ETL workflows.

- Advanced Data : Experience migrating legacy search to vector-based search.

Education : Bachelor's degree in Computer Science or similar, advanced degree preferred.