Manager AI/ML Engineering (LLM,RAG ,Agentic AI)
Primary location: Bengaluru, Karnataka
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Apply AI development lifecycle practices for evaluation and benchmarking
- Build and evaluate RAG solutions with embeddings and vector retrieval
- Build and evaluate agentic AI workflows with tool orchestration and multi agent patterns
- Collaborate across research product architecture and engineering stakeholders
- Conduct hands on experimentation with machine learning and generative AI
- Create reusable prompts workflows evaluation frameworks and accelerators
- Design build and validate proof of concepts and prototypes
- Develop implementation ready artifacts for engineering adoption
- Develop production oriented AI solution blueprints
- Document learnings experimentation results and technical recommendations
- Evaluate emerging AI frameworks and platforms for enterprise adoption
- Optimize AI cost performance through token and model tuning
- Transition validated proof of concepts into production with engineering
- Translate business problems into AI ML solution approaches
Perks/Benefits
- N/A
Skills/Tech-stack
AI guardrails | Agent systems | Agentic AI | Amazon Web Services | Azure | Benchmarking | Cloud Architecture | Cloud platform | Cost Optimization | Data Pipelines | Deep learning | Embeddings | Experiment tracking | Feature Engineering | Generative AI | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | Machine Learning | Model Evaluation | Model Governance | Multi-Agent | Multi-Agent Systems | Prompt engineering | PyTorch | Python | Responsible AI | Retrieval-Augmented Generation | SQL | Semantic Retrieval | TensorFlow | Token optimization | Tool orchestration | Vector Databases | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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