Applied AI ML Director
Bengaluru, Karnataka, India
INR 3000K-5000K (estimate) Executive-level Full Time
Tasks
- Build LLM orchestration with tool use and retrieval
- Build agentic GenAI workflows with state management and retries
- Create reusable GenAI ML engineering assets
- Define reference architectures for agentic AI
- Drive adoption of AI ML standards interoperability and reuse
- Establish reusable RAG components and deployment patterns
- Implement guardrails and evaluation harnesses
- Lead evaluation sessions with vendors startups and internal teams
- Lead hands on build of AI ML solutions in Python
- Operationalize observability and permissions for agentic workflows
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Application Resiliency | Azure | CI/CD | Chunking | Cloud deployment | Cost Optimization | Evaluation harnesses | Guardrails | Hugging Face | Indexing | LLM orchestration | Langchain | Langgraph | Language Models | Large Language Models | Observability | Prompt engineering | Prompt management | PyTorch | Python | RAG | Reliability | Retries | Retrieval-Augmented Generation | Safety filters | Scalability | Security | State management | System design | TensorFlow | Tool use | Tool-Calling | Vector embeddings
Education
N/A
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