Senior AI Engineer

Nokia; Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Hybrid work arrangements

Health insurance

Hybrid learning / Certifications

Career growth

Job summary

Nokia in Bengaluru seeks an experienced Full Stack Software Engineer to build the infrastructure powering AI agents and ML systems end-to-end. You will work across the stack from React/TS UI to 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, offering hybrid work arrangements and a strong focus on scalable production-grade systems.

Qualifications

• Bachelor’s or Master’s degree in Engineering is required.
• 8+ years of Python development experience with production systems.
• Experience with agent-based or agentic systems and at least one framework such as LangGraph, CrewAI, AutoGen, LangChain, or LlamaIndex.
• Exposure to MLOps pipelines and Kubeflow familiarity.
• Strong cloud and Kubernetes deployment experience and secure coding practices.

Responsibilities

• Design UX and build UI for Agentic Ops.
• Design and build agent harnesses in Python for reliable agent perception, reasoning, and action.
• Develop an MLOps framework to orchestrate training, evaluation, and deployment flows.
• Fine-tune LLMs with LoRA/QLoRA, manage datasets and training runs.
• Deploy services on Kubernetes with model serving and observability.
• Integrate AI agents with modern frameworks and ensure SOLID software design.
• Follow CI/CD and perform code reviews and static analysis.

Skills

Python development

Software engineering

Unit testing

CI/CD

Security practices

Education

Bachelor’s or Master’s degree in Engineering

Tools

LangGraph

CrewAI

AutoGen

LangChain

LlamaIndex

Kubeflow

Kubernetes

Helm

Argo

Airflow

MLflow

DeepSpeed

FSDP

Accelerate

vLLM

TGI

KServe

Triton

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 modern 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 similar)
• Experience deploying containerized applications on Kubernetes, including areas like Helm, operators, networking, and resource management
• Familiarity with at least one major cloud platform (AWS, GCP, or Azure), including services related to compute, storage, identity access management, and machine learning
• Understanding of software engineering practices such as modular design (SOLID principles), design patterns, secure coding practices, static analysis tools (for example, mypy, ruff, Bandit, SonarQube), and testing approaches (unit and integration testing)

Nice to Have:

• Exposure to distributed training approaches, using tools such as DeepSpeed, FSDP, or Accelerate
• Familiarity with vector databases, retrieval-augmented generation (RAG) systems, and evaluation frameworks for language models
• Experience working with model serving solutions such as vLLM, TGI, KServe, or Triton

About The Team

Some of our benefits in India:

• Flexible and hybrid working arrangements to support work-life balance
• Health and well-being support - medical insurance for you and your family, health check-ups, life and accident insurance, well-being programs, and employee resource groups
• A minimum of 90 days of Maternity and Paternity Leave based on eligibility
• Personal Support Service 24/7 - a confidential support channel open to all Nokia employees and their families in challenging situations
• Career growth & mobility - technical career paths, job rotations, international assignments, and relocation support
• Continuous learning - technical certifications, mentoring programs, coaching, and digital learning platforms
• Opportunities to innovate and contribute through Nokia’s research and development environment
• Recognition programs that celebrate outstanding contributions
• Workplace support - ergonomic working support and mobile device programs based on eligibility