AI Senior Engineer / Lead

About the Role
Maveric Services is looking for an AI Engineer/Lead to lead the implementation of enterprise-grade AI-assisted rule transformation and governance capabilities.
The role pertains to AI and GenAI, including LLM lifecycle management, agentic orchestration, prompt engineering, model optimization, inference engineering, guardrails and evaluation frameworks.
Should be able to lead a team of engineers, excellent skill in hands on coding and extremely proficient in doing effective code review for production grade code.
What You'll Do
AI Platform Architecture
· Design agentic orchestration frameworks
· Implement AI-assisted rule transformation pipelines
· Drive LLM integration and optimization strategy
LLM Engineering
· Build enterprise-ready LLM libraries
· 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
NLP & 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
Governance & AI Safety
· Implement AI guardrails and safety controls
· Define evaluation and benchmarking frameworks
· Support explainability and AI observability
· Implement policy-aware execution boundaries
Runtime & Optimization
· Implement scalable inference architecture
· Optimize latency, throughput and deployment efficiency
· Support GPU orchestration and inference engineering
· Drive model lifecycle governance
· Model Deployment & MLOps
· Implement CI/CD pipelines for ML models (MLOps).
Cross-functional Collaboration
What We're Looking For
AI & LLM Skills
· LLM fine-tuning, pretraining and model optimization
· Agentic architecture and orchestration
· Advanced prompt engineering
· NLP and semantic extraction
· Evaluation and benchmarking frameworks
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
Engineering Skills
· Python ecosystem
· LangChain/LangGraph/CrewAI ecosystems
· Cloud-native AI deployment
· Distributed inference systems
· AI workflow orchestration
Preferred Experience
· 4-12 years in AI/ML engineering
· Hands-on GenAI platform engineering experience
· Experience with cloud platforms (Azure/AWS/GCP) and serverless compute
· Experience with enterprise AI governance
· Exposure to regulated industry AI deployment
Why Join Maveric
Opportunity to work in a leading pure-play AI First Banking Technology Services firm.
High-visibility, Customer exposure, Scale-driven opportunities, Young, differentiated talent

Work arrangement
No