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Spektra Systems - Full Stack AI Developer

Spektra Systems
Anywhere in India/Multiple Locations
3 - 8 Years

Posted on: 17/02/2026

Job Description

About the Role :

We're building a small, elite AI engineering team focused on shipping AI-first SaaS products and agentic experiences at startup speed.

We are looking for Full-Stack AI Developer who live and breathe rapid prototyping. If you enjoy turning ideas into working AI-powered SaaS applications in days, not months, experimenting with the latest AI tools, and building production-ready agentic systems - this role is for you.

This team will develop shared AI platforms, reusable agents, and AI experiences used across multiple product groups.

What You'll Be Doing :


AI & Agentic Systems :


- Design and implement AI agents and multi-agent systems using modern agentic patterns

- Build LLM-powered workflows using frameworks like LangChain and similar ecosystems

- Architect and optimize RAG pipelines, prompt flows, and tool-using agents

- Leverage LLM APIs, SDKs, and MCP servers

- Build MCP (Model Context Protocol) servers from scratch when needed

Stay hands-on with :

- Prompt engineering

- Debugging hallucinations and failures

- Performance, cost, and latency optimization

- Scaling AI systems to production

- Full-Stack Development

- Build rapid prototypes of AI-powered SaaS applications

- Develop modern frontends using Next.js / React

- Build backend services using Python etc.

- Create APIs and services that power AI workflows

- Integrate AI features directly into user-facing products

- Own features end-to-end - frontend, backend, AI logic, deployment

- AI-Led Development Culture

Use AI DevTools daily :

- Cursor

- Claude Code

- GitHub Copilot

- Any other tools that help you move faster

- Embrace AI-assisted coding as a default, not an experiment

- Rapid experimentation - validation - iteration

Why Join Us :

- Work on real, production AI systems, not demos

- Small, high-ownership team - your work ships fast

- Freedom to choose the best tools and architectures

- Direct impact on multiple products

- Build AI platforms that scale across teams and customers

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