Senior AI Engineer
Core
Designing and deploying production-scale Generative AI and multi-agent systems for credit intelligence and analytics.
Role type
Senior IC Applied AI Engineer (GenAI/LLM)
Builds
Distributed AI systems, multi-agent orchestration frameworks, RAG pipelines, and production LLM services.
Domain
Financial services / Credit intelligence / Generative AI
Deliverable
production ML models
Required skills
Python, LLM orchestration (multi-agent/agentic workflows), RAG pipeline design, vector databases, deep learning model fine-tuning, GPU infrastructure, cloud deployment (AWS), automated evaluation frameworks, reinforcement learning (RLHF/RLAIF), real-time data pipelines (Kafka), observability.
Preferred skills
None stated.
Technologies
AWS (Batch, Lambda, ECS, S3), Docker, GitHub, Datadog, Kafka, PyTorch, TensorFlow, Claude Agent SDK, Google ADK, AWS AgentCore.
Responsibilities
Design and implement multi-agent orchestration frameworks; Build and maintain MCP servers and integrations; Build and optimize RAG pipelines; Integrate with managed LLM services; Fine-tune and deploy open-source deep learning models; Design automated evaluation frameworks; Apply reinforcement learning techniques; Architect high-throughput real-time data pipelines; Design and scale production AI services on AWS; Implement observability frameworks; Resolve production bottlenecks.
Seniority
Senior, hands-on IC