UI
Full time
🤖 AI / ML
GenAI Engineer at UptimeAI Inc.
Listed by DevShelfHub
Bangalore (Manyata Tech Park), Hybrid
Hybrid
Mid-level · 1–5 yrs
About the Role
Industrial operations teams face a growing expertise gap as experienced engineers retire and operational complexity increases. UptimeAI addresses this challenge with AI reasoning agents that embed engineering judgment directly into decision-making—helping facilities improve reliability, safety, and performance in real time.
UptimeAI is hiring a GenAI Engineer in Bangalore to build scalable generative AI systems, MLOps platforms, and distributed architectures for production-grade LLM applications.
What you'll do
- Design, develop, and deploy generative AI use cases using LLMs and pipelines into production
- Build and manage MLOps platforms tailored for generative workflows including fine-tuning and monitoring
- Create scalable, distributed systems for real-time generative applications
- Implement prompt engineering and retrieval-augmented generation (RAG) techniques
- Develop cloud-native applications using TensorFlow, PyTorch, LangChain, LangGraph, and Hugging Face
- Optimize low-latency, high-throughput systems for deploying GenAI models in production
- Ensure ethical AI practices including bias mitigation, interpretability, and data privacy compliance
- Collaborate with cross-functional teams to integrate GenAI solutions into products and services
What we're looking for
- Bachelor's/Master's in Computer Science, AI, or related field
- 1-3+ years in Data Science and generative AI including LLMs, NLP, or multi-modal models
- Python and GenAI libraries (Transformers, PyTorch, LangChain, LangGraph)
- Strong understanding of distributed systems and scalable architectures for GenAI workloads
Skills & Technologies
Required
Bachelor's/Master's in Computer Science, AI, or related field
1-3+ years in Data Science and generative AI including LLMs, NLP, or multi-modal models
Python and GenAI libraries (Transformers, PyTorch, LangChain, LangGraph)
Strong understanding of distributed systems and scalable architectures for GenAI workloads
Familiarity with vector databases and retrieval systems for RAG pipelines
Experience with prompt engineering, fine-tuning, and model optimization (quantization, pruning)
Knowledge of CI/CD pipelines for GenAI workflows and version control (Git, DVC)
Understanding of ethical AI principles and bias detection/monitoring tools
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- Build GenAI systems that directly impact industrial reliability and safety at global scale.
- Design and deploy generative AI use cases using LLMs in production
- Build MLOps platforms for fine-tuning and monitoring GenAI models
- Create scalable distributed systems for real-time generative applications
- Implement prompt engineering and RAG techniques
- Work with TensorFlow, PyTorch, LangChain, LangGraph, and Hugging Face
- Optimize low-latency, high-throughput GenAI deployments
- Ensure ethical AI practices including bias mitigation and interpretability
- Collaborative, growth-oriented environment with leadership opportunities
- Contribute to industry-wide operational transformation
- Hybrid work from Manyata Tech Park, Bangalore
About UptimeAI Inc.
UptimeAI provides AI reasoning agents that help industrial operations teams make goal-oriented, real-time decisions. Industrial facilities are rich in data but constrained by the expertise required to maintain and interpret it. UptimeAI's agents continuously analyze operational data, diagnose issues, and guide teams toward the best actions—delivering faster decisions, reduced downtime, and improved efficiency.
- Industry
- Technology
- Company Size
- 500+
- Website
- uptimeaiinc.com
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 1–5 years
- Location
- Bangalore (Manyata Tech Park), Hybrid
- Work Mode
- Hybrid
- Category
- AI / ML
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