The Senior Software Engineer (AI/LLM) leads design, development, and deployment of advanced AI and Generative AI capabilities within industrial software systems, collaborating with data scientists and engineers to improve operational efficiency and user experience.

Company: GE Vernova

Role: Senior Software Engineer- Python, LLM, GenAI

Location: Bangalore VERNOVA (JFWTC) IN

Experience:

5–8+ years of professional software engineering experience
2–3+ years building AI/ML or LLM-driven applications in production environments
3+ years of hands-on experience with FastAPI

Key Skills:

Python
ML/DL/AI solutions
FastAPI
OpenAI
Hugging Face
LangChain
LlamaIndex
RESTful API design
microservices architecture
LLM fundamentals
tokenization
transformer architecture
attention mechanisms
embeddings
fine-tuning approaches
model constraints
context window management
CI/CD
Jenkins
Docker
Kubernetes
Helm
AWS
cloud-native architecture
Angular

Qualification:

Bachelor's Degree in Computer Science or STEM Majors

Role Focus:

Design, develop, and implement AI-based solutions such as RAG pipeline, document query engines, semantic analysers
Build prompt orchestration, retrieval augmentation (RAG) solutions and context-management pipelines for industrial use cases
Develop scalable and secure GenAI-based solutions to improve internal software systems
Optimize LLM inference performance, token usage, latency, and model selection
Implement validation frameworks for LLM outputs including rule-based, statistical, semantic validation, alignment checks, and performance monitoring
Support or lead development of ML models for reliability, operations, and maintenance use cases
Collaborate with data scientists to convert analytical logic into stable production code and cloud-ready services
Develop pipelines integrating historian/SCADA/CMMS/APM datasets into AI workflows
Engineer robust backend services in Python with clean architecture and modular design
Build and maintain REST APIs, microservices, and integration points with industrial systems and enterprise platforms
Work with product and domain teams to embed AI/LLM features into industrial software applications
Design automated evaluation frameworks for LLM results including hallucination checks, accuracy scoring, domain constraint validation, and response explainability
Maintain experiment tracking, version control, and model documentation for reproducibility and governance
Support secure handling of operational and proprietary data with compliance to standards
Conduct performance testing, error monitoring, and continuous improvement of deployed AI services
Partner with domain SMEs to translate use cases into AI-driven workflows
Collaborate with platform/cloud engineering teams to deploy LLM services at scale
Mentor junior developers and support internal AI capability-building initiatives

Additional responsibilities:

Contribute to UI/UX workflows for AI-driven features such as chatbot interfaces, AI copilots, or operator assistance tools (optional)
Actively explore new LLM capabilities, vector databases, fine-tuning methods, and industrial AI patterns to drive innovation

Nice to have:

Familiarity with industrial or operational data systems such as APM, historian systems, SCADA, CMMS/EAM
Exposure to frontend technologies such as Angular

Other:

Work type: Full Time
Job posted on
Job ID: R5033461

Senior Software Engineer- Python, LLM, GenAI

Skills Required

Description