Lead / Manager - AI Engineering
Hyderabad, TS, India
INR 2000K-5000K (estimate) Senior-level Full Time
Tasks
- Architect end-to-end AI/ML systems
- Build evaluation harness using LLM as a judge
- Create and implement evaluation plans for GenAI systems
- Create ground truth datasets and metrics
- Define prompt iteration methodology with versioning and change control
- Deliver engineering ready handoff including RAG configuration and go no go gates
- Design and implement enterprise GenAI solutions
- Design prompting strategies and structured outputs
- Design scalable and secure agentic AI architectures adhering to MLOps and LLMOps
- Identify and analyze model failures including hallucinations and retrieval misses
- Run feasibility assessments for prompting RAG fine tuning and classical ML
- Run structured experiments for prompts retrievers chunking and models
- Select and develop models based on task requirements
- Translate business needs into measurable GenAI success criteria
Perks/Benefits
- Career growth
- Company-sponsored certifications
- Growth chats
- Idea tanks
- Mentorship
- Recognition and rewards
- Snack zone
Skills/Tech-stack
AWS Bedrock | Agentic Workflows | Azure AI | Azure OpenAI | Bedrock | Chunking | Deep learning | Embeddings | Evaluation | Fine Tuning | LLMOps | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Fine-tuning | Natural Language | Natural Language Processing | OpenAI | Prompt engineering | Prompting | PyTorch | Python | RAG | Reranking | Retrieval-Augmented Generation | Scikit-learn | Snowflake | TensorFlow | Test-Driven | Test-Driven Development | Tool use
Education
N/A
Roles
AI | AI Engineering | AI Engineering Lead | AI Engineering Manager | Engineering Lead | Engineering Manager | Lead | Manager
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