Senior AI Engineer
Company: 0596 Baker Hughes Inspection & Control Technologies (Shanghai) Co., Ltd
Location: IN-KA-BANGALORE-NEON BUILDING WEST TOWER
Type: Full-time
Posted: 2026-07-23
About this role
Senior AI Engineer
Are you an experienced Senior AI Engineer looking for a new Role?
Do you enjoy being part of a successful team?
Responsibilities, Authorities, and Accountabilities
As a Senior AI Engineer, you will be part of a multidisciplinary AI delivery team focused on designing, developing, deploying, and scaling AI-powered products and solutions. You will work on commercially facing projects involving Large Language Models (LLMs), Generative AI, machine learning systems, intelligent agents, and enterprise AI platforms. These teams typically include AI Engineers, Data Scientists, Software Engineers, Product Managers, Architects, Domain Experts, and business stakeholders, working in partnership with Baker Hughes business units to deliver measurable business value.
In this role, you will:
- Work closely with customers and stakeholders to capture AI, automation, and business requirements and translate them into scalable technical solutions.
- Design, develop, evaluate, and deploy AI-powered applications using Generative AI, LLMs, agentic frameworks, machine learning models, and supporting services.
- Develop, validate, and optimize AI solutions to address customer needs and business opportunities while balancing quality, accuracy, performance, cost, and risk.
- Collaborate with software engineers and architects to translate AI prototypes into secure, scalable, and commercially viable products and services.
- Lead the development and deployment of production-grade AI solutions including Retrieval Augmented Generation (RAG), AI agents, prompt engineering, model orchestration, and model fine-tuning approaches.
- Work with Data Engineers and Platform teams to ensure data quality, governance, accessibility, and readiness for AI workloads.
- Define and execute experimentation strategies, benchmarking approaches, evaluation frameworks, and model performance monitoring processes.
- Monitor AI systems for quality, bias, safety, complianc...