Senior Engineer - AI Platform

The individual will lead the implementation of enterprise-grade AI-assisted rule transformation and governance capabilities.

Should be able to lead a team of engineers, possess excellent skill in hands-on coding, and be extremely proficient in doing effective code review for production-grade code.

Key Responsibilities :

1. AI Platform Architecture :

- Design agentic orchestration frameworks

- Implement AI-assisted rule transformation pipelines

- Drive LLM integration and optimization strategy

2. LLM Engineering :

- Fine-tune and optimize foundation models

- Design configuration-based choices to use either proprietary LLM models or local hosted models from LLM libraries

- Design prompt engineering and orchestration frameworks

- Implement inference optimization strategies

3. NLP and Rule Intelligence :

- Implement sentence extraction and semantic parsing pipelines

- Support AST normalization and canonical transformation

- Build semantic comparison and amendment intelligence

- Support RAG and vector retrieval frameworks

4. Governance and AI Safety :

- Implement AI guardrails and safety controls

- Define evaluation and benchmarking frameworks

- Support explainability and AI observability

- Implement policy-aware execution boundaries

5. Runtime and Optimization :

- Implement scalable inference architecture

- Optimize latency, throughput and deployment efficiency

- Support GPU orchestration and inference engineering

- Drive model lifecycle governance

Required Skills :

1. AI and LLM Skills :

- LLM fine-tuning, pretraining and model optimization

- Agentic architecture and orchestration

- Advanced prompt engineering

- NLP and semantic extraction

- Evaluation and benchmarking frameworks

2. AI Platform Skills :

- RAG and vector database architecture

- Inference engineering (vLLM, SGLang etc.)

- Guardrails and AI governance

- GPU deployment and model serving

- AI observability and telemetry

3. Engineering Skills :

- Python ecosystem

- LangChain/LangGraph/CrewAI ecosystems

- Cloud-native AI deployment

- Distributed inference systems

- AI workflow orchestration

Preferred Experience :

- 12+ years in AI/ML engineering

- Hands-on GenAI platform engineering experience

- Experience with enterprise AI governance

- Exposure to regulated industry AI deployment