Generative AI Engineer
Role Overview
We are seeking a Generative AI Engineer to support the design and development of Generative AI solutions for industrial use cases. This role focuses on Pythonbased development, implementation of LLM and RAG pipelines, and building AI assistants that support plant operations, maintenance, and quality teams under guidance from senior engineers.
Key Responsibilities
- Develop and enhance Pythonbased GenAI applications for industrial workflows
- Implement and support LLMbased solutions for:
- Automated reporting
- Maintenance procedure generation
- Documentbased Q&A systems
- Build and maintain RAG pipelines to extract insights from:
- Manuals, SOPs, engineering documents, and logs
- Assist in developing AI copilots and chat interfaces for operators and support teams
- Generate and validate synthetic data (text, sensor, or image) to improve model performance
- Integrate AI solutions with existing data sources under guidance
- Follow Responsible AI, security, and safety guidelines suitable for industrial environments
- Collaborate with senior engineers, data scientists, and domain SMEs
Technical Skills & Experience
MustHave
- Strong Python programming skills Scripting, data processing, APIs, and automation
- Working knowledge of Generative AI / LLMs, Prompt engineering, basic finetuning, inference
- Handson experience with RAG concepts, Embeddings, vector databases, document chunking
- Experience building or consuming REST APIs, Fast API or Flask preferred
Good to Have
- Exposure to agent frameworks, Lang Chain, Llama Index, or similar
- Basic understanding of ML / deep learning, PyTorch, TensorFlow, Hugging Face
- Awareness of industrial or manufacturing environments Maintenance, quality, operations, or asset data
- Familiarity with cloud platforms or containers
Key Focus Areas
- Implementing GenAI components rather than defining architecture
- Supporting document intelligence and knowledge extraction use cases
- Developing Python services for AI workflows
- Learning and applying safe and responsible AI practices
Qualifications
- Bachelor's degree in:
- Computer Science, AI/ML, Data Science, or related field
- 35 years of experience in: Python development, AI/ML engineering, or data engineering
What We're Looking For
- Strong handson Python coder with experience in Generative AI
- Ability to work on defined tasks with guidance
- Willingness to learn industrial domain concepts
- Good communication and collaboration skills
