Director of Software Engineering - GenAI, Python
Bengaluru, Karnataka, India
INR 3000K-6000K (estimate) Executive-level Full Time
Tasks
- Apply guardrails for LLM systems
- Apply software development life cycle toolchain for enterprise AI automation
- Build agentic workflows
- Build and ship production AI applications end to end
- Build reusable libraries and evaluation tooling
- Collaborate with stakeholders to define scoped technical approaches
- Design retrieval-augmented generation pipelines
- Develop evaluation frameworks for LLM systems
- Drive validation security resiliency traceability and reuse
- Establish governance for agentic AI and SDLC automation
- Implement prompt engineering strategies
- Maintain system documentation and model risk artifacts
- Present results and tradeoffs to technical and non technical audiences
- Support MLops and LLMops deployment monitoring and incident response
- Use AI assisted development tools in daily workflow
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Agentic Workflows | Anthropic | B testing | Bias Fairness Hallucination Mitigation | Bias/fairness | CI/CD | Causal Inference | Code review | Distributed Systems | Docker | Embeddings | Evaluation | GenAI | Git | Governance | Hallucination mitigation | Hugging Face | Incident Response | Infrastructure as Code | LLM APIs | LLMOps | MLOps | Machine Learning | Model Risk Management | Model risk | Monitoring | OpenAI | Prompt engineering | PyTorch | Python | RAG | REST APIs | Red Teaming | Retrieval-Augmented Generation | Risk Management | Spark | TensorFlow | Testing | Tokenization | Vector Databases | “as-code”
Education
N/A
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