Lead Software Engineer - AI/ML Agent Platform
Core
Lead the end-to-end design, delivery, and operationalization of an AI Agent Platform SDK and frameworks enabling large-language-model-powered agents at scale.
Role type
Lead Software Engineer (AI/ML Agent Platform)
Builds
Production-ready agent orchestration frameworks, tool/function calling pipelines, RAG solutions, voice agents, document-extraction agents, and agentic memory systems.
Domain
Financial Services / AI & Machine Learning / Agentic AI
Deliverable
production ML models | product features
Required skills
Applied AI/ML concepts, Advanced Python, Software engineering fundamentals, LLM system deployment, Prompt engineering, RAG implementation, Incident response, Technical leadership
Preferred skills
Agent orchestration frameworks (LangGraph, LlamaIndex, Google ADK), Voice agent development, Document extraction/OCR, Agentic memory systems, Vector databases, CI/CD, Containerization (Docker, Kubernetes), Cloud/ML platforms (AWS, Databricks)
Technologies
Python, Docker, Kubernetes, AWS, Databricks, LangGraph, LlamaIndex, Google ADK, RAG, NL2SQL
Responsibilities
Lead technical design and delivery of the AI Agent Platform SDK; Own core platform services including agent orchestration and model-serving integration; Build and operate first-class agent modalities (voice, document extraction, memory); Drive systematic improvement of agent capabilities via evaluation datasets and benchmarks; Establish engineering standards through system design and mentorship; Build evaluation, testing, and observability capabilities; Implement safety and governance patterns; Partner with stakeholders to shape roadmap and define success metrics.
Seniority
Senior, hands-on IC with leadership responsibilities