Build end-to-end infrastructure for AI agents: design React/TypeScript UIs, implement Python agent harnesses, develop Kubeflow-based MLOps pipelines, fine-tune foundation LLMs (LoRA/QLoRA/SFT/RLHF), deploy and operate services on Kubernetes, integrate agent frameworks, and apply software engineering best practices, testing, and CI/CD.
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.
Responsibilities- 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
- 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
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
Nokia Mumbai, Maharashtra, IND Office
Mumbai, India
Similar Jobs
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build, train, evaluate, and deploy machine learning and LLM-based safety models, guardrails, and content moderation systems. Develop evaluation frameworks, adversarial testing, and low-latency inference solutions for high-throughput production workloads. Research defenses against jailbreaks, prompt injection, data leakage, and harmful content. Support AI governance, compliance, audit logging, and watermarking. Collaborate across engineering, product, legal, and trust teams while mentoring engineers.
Top Skills:
SparkAWSDockerGCPGoGraph-Based Entity SystemsJavaKafkaKinesisKotlinKubernetesLlmsLookerLoraMicrostrategyNlpPeftPrompt EngineeringPythonR-ShinySap BusinessobjectsSQLTableauTensorrt-LlmTransformer ArchitecturesTriton Inference ServerVllm
Consumer Web • HR Tech
Design, build, and operate production-grade autonomous AI systems and multi-agent workflows. Develop agentic capabilities using OpenAI, Google Gemini, and Perplexity; implement orchestration, reflection, planning, evaluation, observability, and human-in-the-loop controls. Deploy scalable serverless services with Python and AWS, integrate with .NET systems, manage reliability and cost constraints, and create testing frameworks to monitor and improve agent quality.
Top Skills:
.NetAmazon EventbridgeAws LambdaAws Step FunctionsC#Claude CodeCursorGoogle GeminiOpenaiPerplexityPython
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads the architecture, development, and productionization of AI/ML and GenAI solutions for healthcare operations. Responsibilities include building clinical and claims data pipelines, developing LLM and RAG applications, implementing MLOps and LLMOps, ensuring HIPAA-compliant governance, translating business needs into technical roadmaps, communicating with stakeholders, and mentoring engineers.
Top Skills:
AirflowAWSAzureAzure MlBigQueryCi/CdDaskDatabricksDockerFaissGCPGitGoHugging FaceJavaKafkaKubernetesLangchainLlamaindexMlflowNeo4JNumpyPandasPgvectorPineconePrefectPytestPythonPyTorchSagemakerScalaSnowflakeSparkSQLTensorFlowTerraformTransformersVertex Ai
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
