Principal Machine Learning Engineer – AgenticAI, GenAi/LLM, MCP, Python/Golang

Red Hat

Principal Machine Learning Engineer leading NLP and GenAI solutions for Red Hat. Responsible for developing scalable AI applications and mentoring engineering teams.

Posted 6/29/2026full-timeBangalore • 🇮🇳 IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Natural Language Processing (NLP) and Generative AI application development, with a strong command of Python and experience in machine learning frameworks. Capable of leading the design and implementation of scalable AI/ML applications while mentoring junior engineers and collaborating across teams.

Highest-signal resume keywords

Natural Language Processing (NLP)Python ProgrammingMachine Learning FrameworksGenerative AI Application DevelopmentAWS Microservices Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

NLP Application DesignMachine Learning Pipeline DevelopmentHyperparameter TuningData Ingestion and PreprocessingModel Validation and DeploymentTensorFlowPyTorchKerasSpacyHugging Face

Soft Skills

Excellent Communication SkillsCollaborationMentoringPresentation SkillsProblem-Solving

Tools & Technologies

LangGraphLangChainAutogenVector DatabasesLLMs

Industry Keywords

Data Science LifecycleEnterprise Data PlatformsGovernance and ComplianceAI/ML ApplicationsProduction Quality Code

Tech Stack

Tools & technologies

AWSGoJavaKerasMicroservicesPythonPyTorchRustTensorflow

About the role

Key responsibilities & impact

Lead the research and implementation of advanced algorithms and tools for NLP/GenAI tasks.
Drive the development of next-generation AI/ML applications in a highly collaborative environment.
Contribute to the design, implementation, and delivery of AI platform capabilities & agentic solutions from concept to production.
Design, build, and evolve ML pipelines that cover data ingestion, preprocessing, feature engineering, training, validation, deployment, and monitoring.
Translate research prototypes and models into production-quality code, ensuring robustness, scalability, and maintainability.
Select appropriate algorithms and modeling techniques, perform hyperparameter tuning, and conduct comparative experimentation.
Design, build, and evolve MCP servers and Agents that enable and empower Red Hatters to do business efficiently.
Troubleshoot and resolve production incidents, root-cause errors, data drifts, performance regressions, or infrastructure issues.
Collaborate with cross-functional teams, including finance, operations, sales, and marketing.
Mentor more junior engineers, lead code reviews, and help establish ML lifecycle and quality standards.

Requirements

What you’ll need

Bachelor’s degree or above in Computer Science, Math, Computational Linguistics, Computer Engineering, or other related fields.
8+ years of professional experience in NLP, with a strong command of Python and frameworks such as Spacy and Hugging Face.
Proven expertise in designing and delivering NLP applications across all stages of the data science lifecycle.
Deep understanding of machine learning frameworks and experience in Generative AI application development.
Experience with TensorFlow, TensorFlow Serving, Keras, and PyTorch, and experience with LLMs, Embedding models, and Vector Databases.
Exceptional software engineering skills.
Proficiency in at least one general-purpose programming language (e.g., Python, Go, Java, Rust, etc.).
Experience with LangGraph, LangChain, Autogen, and/or Python/Java-based AI libraries for GenAI applications.
Experience developing highly scalable backend microservices in AWS.
Past experience in building enterprise data platforms that have a high level of governance and compliance requirements.
Comfortable working with a small team in a fast-paced, highly collaborative environment.
Excellent communication, presentation, and writing skills.

Benefits

Comp & perks

Flexible working hours
Professional development opportunities