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AI Applications Engineer- Python/ LLM

Reposted An Hour Ago
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In-Office
Pearl Tower, Hadapsar, Pune, Maharashtra, IND
Mid level
In-Office
Pearl Tower, Hadapsar, Pune, Maharashtra, IND
Mid level
The AI Applications Engineer will develop Python applications integrating LLMs, optimize AI features, debug issues, and collaborate across teams to enhance product innovations.
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About the job:

The Customer Content Services (CCS)  team is looking for a skilled Python Developer to join our Software Engineering team in Pune, India. In this role, the ideal candidate should have a strong background in Python development, a deep understanding of LLMs, and the ability to debug and optimize AI applications. Your work will directly impact our product development, helping us drive innovation and improve the customer experience.

What will you do?

  • Develop and maintain Python-based applications, integrating LLMs and AI-powered solutions

  • Collaborate with cross-functional teams (product managers, software engineers, and data teams) to understand requirements and translate them into data-driven solutions

  • Assist in the development, testing, and optimization of AI-driven features

  • Optimize performance and scalability of applications utilizing LLMs

  • Debug and resolve Python application errors, ensuring stability and efficiency

  • Conduct exploratory data analysis and data cleaning to prepare raw data for modeling

  • Optimize and maintain data storage and retrieval systems for model input/output

  • Research and experiment with new LLM advancements and AI tools to improve existing applications

  • Document workflows, model architectures, and code to ensure reproducibility and knowledge sharing across the team

What will you bring?

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field with 2+ years of relevant experience

  • Strong proficiency in Python, including experience with frameworks like FastAPI/ Flask, or Django

  • Understanding of fundamental AI/ML concepts, algorithms, techniques and implementation of workflows

  • Familiarity with DevOps/MLOps practices and tools for managing the AI/ML lifecycle in production environments

  • Understanding of LLM training processes and data requirements. Experience in LLM fine-tuning, RAG and prompt engineering

  • Hands-on experience with LLMs (e.g., OpenAI GPT, Llama, or other transformer models) and their integration into applications(e.g. LangChain or Llama Stack)

  • Familiarity with REST APIs, data structures, and algorithms

  • Strong problem-solving skills with the ability to analyze and debug complex issues

  • Experience with Git, CI/CD pipelines, and Agile methodologies

  • Experience working with cloud-based environments (AWS, GCP, or Azure) is a plus

  • Knowledge of vector databases (e.g., Pinecone, FAISS, ChromaDB) is a plus

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.


Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email [email protected]. General inquiries, such as those regarding the status of a job application, will not receive a reply.

Red Hat Pune, Maharashtra, IND Office

Tower X, Cybercity, Magarpatta Hadapsar Level 0-1 , Pune, India, 411013

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