Total Number of Openings
1
The Chevron Engineering and Innovation Excellence Center (ENGINE) in Bengaluru India brings together the resources and expertise of the Chevron global network with talent in India to enhance agility and technological innovation to optimize solutions for the world’s current and future energy challenges. As one of the leading energy providers worldwide, Chevron is involved in the production of crude oil and natural gas, manufacturing of transportation fuels, lubricants, petrochemicals, and additives, and the development of enabling technologies.
Chevron's vision is to be the global energy company most admired for its people, partnerships, and performance. With a clear purpose to develop affordable, reliable, ever-cleaner energy that enables human progress, we believe human ingenuity has the power to solve any challenge and overcome any obstacle. Meeting the world’s growing energy needs requires the pursuit of innovations and advancements that deliver a better future for all.
About the position:
We are looking for a passionate and motivated AI Engineer with an interest in Generative AI, Large Language Models (LLMs), and Agentic AI systems. This role offers an opportunity to work on next-generation AI solutions, including AI assistants, Retrieval-Augmented Generation (RAG), and multi-agent workflows.
You will collaborate with senior engineers and architects to build, test, and deploy intelligent AI applications that help automate business processes and improve decision-making.
Key Responsibilities
Develop and support AI applications using modern LLMs such as GPT, Claude, and Llama.
Assist in building RAG (Retrieval-Augmented Generation) solutions using enterprise knowledge sources.
Design and implement prompts, workflows, and AI agents for business use cases.
Build integrations between AI applications and APIs, databases, and enterprise systems.
Support development of AI copilots, chatbots, and virtual assistants.
Participate in building and testing agentic workflows and multi-step reasoning processes.
Work with vector databases and embeddings for semantic search applications.
Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions.
Perform prompt optimization, evaluation, and performance testing of AI applications.
Follow responsible AI, security, and governance practices in solution development.
Contribute to documentation, code reviews, and knowledge sharing activities.
Required Skills & Qualifications
Bachelor's or Master’s degree in computer science, Artificial Intelligence, Data Science, or a related field.
2-4 years of experience in Software Development, AI/ML, Data Science, or related areas.
Strong programming skills in Python.
Understanding of machine learning and Generative AI concepts.
Familiarity with LLMs and AI development platforms.
Exposure to One or More of the Following
GenAI Frameworks: LangChain, Semantic Kernel, LlamaIndex, Hugging Face
LLMs: OpenAI GPT, Azure OpenAI, Claude, Llama
Vector Databases: FAISS, Pinecone, ChromaDB, Weaviate
Cloud Platforms: Azure, AWS, or Google Cloud (any one)
Version Control: Git, GitHub, Azure DevOps
Databases: SQL, PostgreSQL, SQL Server, or NoSQL databases
Knowledge Of
Prompt Engineering
Retrieval-Augmented Generation (RAG)
API Integration Concepts
Basic Software Engineering Principles
Data Structures and Algorithms
Preferred Qualifications
Internship, academic, or personal projects involving Generative AI or Machine Learning.
Experience developing chatbots, copilots, or AI assistants.
Exposure to Agentic AI frameworks such as LangChain Agents, CrewAI, AutoGen, or Semantic Kernel.
Familiarity with Azure OpenAI or cloud-based AI services.
Understanding of vector embeddings and semantic search.
Knowledge of Docker and CI/CD fundamentals.
Contributions to open-source AI projects, hackathons, or AI competitions.
Tech Stack
Languages: Python, SQL
Frameworks: LangChain, Semantic Kernel, LlamaIndex, Hugging Face
LLMs: OpenAI GPT, Azure OpenAI, Claude, Llama
Vector Databases: FAISS, Pinecone, Chroma DB (any 1)
Cloud Platforms: Azure AI Studio, Azure Machine Learning (Exposure)
Development Tools: Git
What we can offer you
Everything we do at Chevron is guided by our values and our commitment to The Chevron Way.
Have the opportunity to take part in world-leading energy projects, advance your professional development and expand your career within an inclusive and collaborative workplace.
Join a workplace where innovation, collaboration and safety are at the core of how we work.
Work in thoughtfully designed environments that support focus, well-being, and innovation enhanced by digital tools that enable seamless collaboration.
Grow through structured learning, mentorship, and opportunities to contribute to impactful projects that align with Chevron’s values and business priorities.
Access comprehensive benefits that support your health, well-being, and work-life balance.
Engage with emerging technologies and digital solutions that are shaping the future of energy and enterprise.
How to apply
To be a part of our success, click APPLY to submit your application. Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.
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Terms of Use
“ENGINE” refers to the Chevron Engineering and Innovation Excellence Center, which operates under Chevron Global Technology and Services Private Limited, an affiliate of Chevron Corporation. References to ENGINE in this document are for convenience only and do not denote a separate legal entity.
This job advertisement is intended to provide a general overview of the role and workplace environment. Role details and outcomes may vary based on business needs and individual performance.
Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm.
Chevron participates in E-Verify in certain locations as required by law.
Chevron participates in E-Verify in certain locations as required by law.
