Software Engineer II - AI at Microsoft

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

26 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, AI Integration, Frontend Development, Backend Development, C#, Java, Python, React, TypeScript, Cloud Technologies, System Design, Telemetry, Data Privacy, Collaboration, Prototyping, Agile Methodologies

Industry

Software Development

Description

We are searching for an accomplished Software Engineer II who is passionate about building intelligent, high-quality, and impactful products. This role offers an opportunity to collaborate with global teams to deliver Copilot-enabled experiences that empower customers and redefine productivity. You will operate as an individual contributor, leading design and development across multiple layers of the stack, and partnering closely with AI, UX, and platform teams. You will work in a diverse and inclusive environment that values curiosity, craftsmanship, and continuous learning. We're looking for intelligent, driven engineers with a growth mindset — individuals who can turn ambiguity into clarity, ideas into architecture, and architecture into reliable, user-centric solutions. We invite intelligent, driven engineers with a positive mindset and a commitment to growth, prepared to transform ambiguity into tangible deliverables and solutions and shepherd the execution to completion. Design, architect, and implement frontend, backend, and service components to support multi-step Copilot flows, including data orchestration, context management, and state persistence. Integrate LLMs and APIs to enable context-aware, human-in-the-loop experiences across customer scenarios. Collaborate with AI, UX, and platform teams to translate user intent into actionable and structured workflows. Define reusable patterns, SDKs, and libraries that accelerate Copilot flow development across teams. Drive execution of feature work through the complete software development lifecycle — from concept and design to release and live site excellence. Ensure system performance, observability, and trust, including latency optimization, data protection, and fault resilience. Champion engineering best practices, code quality, and maintainability through reviews, mentorship, and technical guidance. Experiment and prototype new AI-driven interaction models, continuously improving Copilot capabilities and developer efficiency. Collaborate across organizational boundaries to deliver a seamless, high-quality product experience. Foster a healthy, inclusive team culture that reflects our values of respect, accountability, and integrity. Exposure to AI/LLM integration, function calling, or semantic retrieval systems is highly desirable. Proficiency in frontend frameworks (React, TypeScript) and backend services using C#, Java, or Python. Experience in building scalable, distributed systems and integrating APIs or microservices. Strong understanding of cloud technologies (Azure, AWS, or GCP). Solid grasp of system design, telemetry, and live site operations. Designed or implemented Copilot-like, assistive, or agentic workflows. Experience building developer-facing frameworks, SDKs, or reusable flow components. Demonstrated impact in end-to-end delivery of complex product features or platform capabilities. Experience leading a v-team to deliver a complex product features or platform capabilities. Understanding of responsible AI principles — data privacy, transparency, fairness, and model explainability. Strong cross-discipline collaboration skills — ability to work closely with AI researchers, PMs, UX, and data engineers. Demonstrated ability to prototype, iterate, and ship features in fast-evolving technical spaces. A growth mindset — openness to learn, mentor, and lead through influence.

Responsibilities

Design, architect, and implement frontend, backend, and service components to support multi-step Copilot flows. Collaborate with AI, UX, and platform teams to translate user intent into actionable and structured workflows.