Job Title: Senior Software Engineer – AI‑Assisted Engineering / Cloud / Microservices

Experience: 7+ Years
 

About the Role

We are looking for an experienced Senior Software Engineer who is passionate about AI‑assisted engineering, emerging developer tools, cloud‑native architectures, and modern software delivery practices. In this role, you will experiment with cutting-edge technologies, build scalable solutions, and collaborate with cross‑functional teams to deliver high‑quality, production‑ready systems.

This is an exciting opportunity for engineers who enjoy innovation, hands‑on experimentation, and leveraging AI to transform the software development lifecycle.

Key Responsibilities

Your responsibilities will include, but are not limited to:

• Experimenting with emerging AI‑assisted engineering tools, LLM-based developer productivity solutions, and cloud services; sharing insights from real-world testing.
• Building high‑quality, secure, scalable, and maintainable software solutions while balancing performance, availability, and engineering best practices.
• Collaborating with teams to solve complex technical problems, contributing to design discussions and implementation strategies.
• Developing robust, reusable components and services that integrate seamlessly with existing platforms and workflows.
• Participating actively in code reviews, maintaining high coding standards, and contributing to documentation for knowledge sharing.
• Working on cross-functional initiatives, ensuring alignment across teams and managing interdependencies effectively.
• Continuously exploring new technologies, frameworks, and engineering accelerators to enhance team productivity.

Required Skills & Experience

We are interested in hearing from candidates who have:

• 7+ years of experience designing and implementing scalable, maintainable, and reliable software systems.
• Proficiency in one or more programming languages such as Python, TypeScript, or C#.
• Hands-on experience building microservices on cloud platforms such as AWS or Azure.
• Working knowledge of AI/ML and Generative AI applications and how they can augment software engineering workflows.
• Experience building RAG (Retrieval-Augmented Generation) systems using frameworks like SemanticKernel, LangChain, or similar.
• Experience with Vector databases such as FAISS, ChromaDB, Pinecone, or Semantic Kernel.
• Exposure to building Agentic AI systems using tools like SemanticKernel, Pydantic, or equivalent frameworks (preferred).
• A deep interest in exploring modern AI developer tools and being a regular user of AI coding assistants such as Cursor, RooCode, GitHub Copilot, etc.
• Exposure to platforms such as AWS Bedrock, Azure OpenAI, Anthropic Claude, LiteLLM, LangChain, LangGraph, Hugging Face, and similar technologies.
• Experience with CI/CD pipelines such as Jenkins, GitHub Actions, or TeamCity.
• Demonstrated ability to work closely with stakeholders to solve business-critical problems.
• Strong understanding of Agile methodologies and experience taking ideas from concept → prototype → pilot → production.