Job Description

Job Description

We're hiring a Full Stack Software Engineer to build the infrastructure that powers our AI agents and ML systems end-to-end — from UX/UI, fine-tuning foundation models to shipping production-grade agent harnesses. You'll work across the stack: Creating UX design and UI in ReactJS/TS, building MLOps pipelines, customizing LLMs, and deploying scalable agent systems on Kubernetes. This role sits at the intersection of UX design, ML engineering, platform engineering, and applied AI.

How You Will Contribute And What You Will Learn
Design UX and build UI for Agentic Ops
Design and build agent harnesses in Python — the runtime scaffolding that enables AI agents to perceive, reason, plan, and act reliably
Develop and maintain a robust MLOps framework using Kubeflow and complementary tooling (MLflow, Argo, Airflow, or similar) to orchestrate training, evaluation, and deployment workflows
Fine-tune foundation LLMs using techniques such as LoRA/QLoRA, SFT, and RLHF; manage datasets, training runs, and evaluation pipelines




Deploy and operate services on Kubernetes, including model serving, autoscaling, and observability
Build and integrate AI agents using contemporary agent frameworks (LangGraph, CrewAI, AutoGen, LlamaIndex, or similar)
Apply software engineering rigor — SOLID principles, secure coding, static analysis, code reviews, and CI/CD — across all deliverables

Key Skills And Experience
Bachelor's or Master's degree in Engineering, along with around 8+ years of experience in Python development, including building and supporting production systems
Hands-on experience working with agent-based or agentic systems, using at least one framework such as LangGraph, CrewAI, AutoGen, LangChain, or LlamaIndex
Exposure to designing or contributing to MLOps pipelines, with familiarity with tools like Kubeflow
Practical experience in fine-tuning large language models (for example, open-source models like Llama, Mistral, Qwen, or sim

📌 Senior Ai Engineer Bengaluru (India)
🏢 NOKIA
📍 India