Principal Software Engineer

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, 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 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 Deep experience using AI tools as co-developers in live workflows. Ability to orchestrate multi-tool chains that blend reasoning, retrieval, and code generation. Experience using AI for reverse engineering , code comprehension , and automated testing . Familiarity with AI observability , prompt evaluation , and model orchestration pipelines . What We're Looking For AI-Native Mindset: You build with AI, not just around it. Architect-Thinker: You see software as a system of evolving components, not static code. Builder-Founder Energy: You thrive in autonomy, ambiguity, and impact. Curious & Adaptive: You experiment fast and iterate even faster. Collaborative by Design: You share context, communicate clearly, and design for sustainability. 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.