Sr. Software Engineer - AI Job

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hire AI Professionals in the following areas :

Job Description — AI Application Engineer Backend Required - Python / Node JS ( Any one ) Frontend - React Experience: 3–6 years

Location: Bangalore

Positions: 2

About the role:

We are developing AI-powered products, including the integration of large language models (LLMs), creating AI agents, utilizing Model Context Protocol (MCP), voice integrations, and automating workflows in cloud-native application development.

You will be responsible for integrating existing AI models and services into production applications— not train foundation models.

Must-have skill:

Python — strong fundamentals, production experience with Fast API (or Django/Flask) React — modern React with hooks, TypeScript, state management, comfortable owning frontend work Node.js — for tooling, edge functions, or real-time services LLM integration — OpenAI, Gemini, or AWS APIs; prompt engineering; streaming responses MCP (Model Context Protocol) — building or consuming MCP servers and clients Workflow automation — event-driven orchestration Cloud-native development — Docker, Kubernetes or serverless, CI/CD, infrastructure as code, on AWS Databases — PostgreSQL, MongoDB

Good to have:

Voice integration — speech-to-text and text-to-speech Observability and evaluation for LLM apps Cost and latency optimization — caching, model routing, batching, prompt compression

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.