Machine Learning Engineer

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.

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.

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,