Senior AI/ML Engineer - LLM, RAG, Agentic AI
Primary location: Bengaluru, Karnataka
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Apply AI development lifecycle practices
- Build and evaluate agentic AI workflows
- Collaborate with engineering for scalable maintainable secure adoption
- Conduct agentic AI experimentation
- Conduct generative AI experimentation
- Conduct machine learning experimentation
- Create evaluation frameworks and benchmarking
- Create reusable prompts and workflows
- Design build and validate proof of concepts
- Develop production oriented AI solution blueprints
- Document learnings and technical recommendations
- Enable transition from proof of concept to production
- Implement retrieval-augmented generation solutions
- Integrate tools and orchestrate workflows
- Optimize AI cost and performance
- Translate business problems into AI solutions
Perks/Benefits
Skills/Tech-stack
AI Development | AI development lifecycle | Agent systems | Agentic AI | Amazon Web Services | Azure | Benchmarking | Cloud Computing | Cloud platform | Cost Optimization | Data Pipelines | Deep learning | Development Lifecycle | Embeddings | Evaluation | Experiment tracking | Feature Engineering | Generative AI | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | Machine Learning | Model selection | Multi-Agent | Multi-Agent Systems | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | TensorFlow | Token optimization | Tool orchestration | Vector Databases | Vector Search | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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