Principal Software Engineer – AI-Native, Startup Mindset

Principal Software Engineer – AI-Native, Startup Mindset

Location : India- Bangalore (relocation available)

Type : Full-Time

About the Role

We are seeking an AI Engineer who’s ready to redefine how software is built — someone fluent in AI-assisted development, modern architectures, and system-level thinking. This is not a traditional developer role. You’ll be shaping the next generation of intelligent software systems : architecting, experimenting, and deploying solutions where AI is a first-class engineering partner , not an afterthought.

You’ll work across the stack from APIs and data pipelines to front-end prototypes, but your true craft is applying AI to accelerate and transform the engineering lifecycle . You’ll collaborate with domain experts and business stakeholders, operating with autonomy in a small, high-trust team focused on speed, learning, and impact.

If you’re as fluent with GitHub Copilot, ChatGPT, Claude, Cursor, Sourcegraph Cody, JetBrains AI Assistant, CodeSee / AppMap for code maps, Mermaid / PlantUML / Structurizr / Lucidchart / diagrams.net for flows & architecture, Figma / FigJam (plus Jira or Linear / Notion for delivery), and LangChain / LlamaIndex / Hugging Face or Vercel AI SDK—with deployment across Azure OpenAI / AWS Bedrock / Vertex AI—as a developer is with their IDE, you’ll feel at home here!

Key Responsibilities

AI-Native Development : Build production-ready systems that embed AI into the core engineering process — from scaffolding and code generation to validation and deployment.

Agentic Engineering : Design and orchestrate multi-agent workflows for code generation, refactoring, reverse engineering, documentation, and test automation.

System Transformation : Modernize legacy or monolithic systems using iterative, AI-assisted strategies (e.g., the strangler pattern), enabling modular, service-based architectures.

End-to-End Ownership : Architect, implement, and deploy scalable microservices, APIs, and pipelines, balancing velocity with reliability.

Architecture & Visualization : Use tools like Mermaid, PlantUML, Structurizr, and diagrams.net to visualize flows, dependencies, and system evolution.

Collaboration : Partner closely with SMEs, data scientists, and product stakeholders to translate business and research needs into elegant, intelligent software.

Required Experience

• 7+ years of professional software engineering experience, including at least 3+ years in AI / ML-driven application development .
• Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, Haystack, or Semantic Kernel.
• Strong familiarity with cloud AI platforms (Azure OpenAI, AWS Bedrock, Vertex AI) and deployment best practices.
• Demonstrated skill with Python , TypeScript , or Go for API-driven development and automation.
• Proven experience with enterprise .net engineering with microservice architecture
• Experience with v ector databases, retrieval-augmented generation (RAG), and prompt engineering.
• Comfort designing and documenting systems with architecture-as-code tools (Mermaid, Structurizr, Lucidchart).

Agentic AI Expertise

What We’re Looking For

Why This Role?

This is an opportunity to join a global organization at a pivotal stage of transformation. You’ll work with an elite group of technologists and create real business impact for the client. If you’ve ever wanted to think like a CTO while building like a swarm of engineers, this is the role for you.