AI Engineer Agentic AI

• Senior Individual Contributor role within the client's Technology focused on designing, building, and operating Agentic AI systems.
• Hands-on role involving architecture, production coding, technical reviews, and complex system design decisions.
• Drive technical direction for Agentic AI initiatives, including autonomy, scalability, reliability, safety, and system architecture.
• Design, build, and operate production-grade Agentic AI systems across multiple products.
• Own and enhance:
• Agent frameworks & orchestration layers
• RAG pipelines
• Planning, memory, and tool-use strategies
• LLM infrastructure, inference, and model gateways
• Evaluation, observability, and safety tooling
• Collaborate with Product, UX, and Engineering teams to deliver enterprise-scale AI solutions.
• Mentor engineers and influence technical direction across teams.

Required Technical Skills

• Languages: Python, TypeScript, Go
• APIs & Services: REST, gRPC
• Cloud/Infra: AWS/Google Cloud Platform, Kubernetes
• Distributed Systems: Kafka, event-driven architectures
• Frameworks: LangGraph, LangChain, Airflow, LlamaIndex, Semantic Kernel, CrewAI
• AI/ML: RAG, Agentic AI, LLM integration, embeddings, fine-tuning, inference tooling
• ML Stack: PyTorch, Hugging Face, TensorFlow exposure
• Validation/State Management: Pydantic, Zod

Required Experience

• 10+ years of experience building large-scale distributed systems.
• Strong experience with LLM systems, Agentic AI workflows, and ML infrastructure.
• Strong backend engineering, APIs, cloud infrastructure, and data pipeline experience.
• Experience with workflow engines, async processing, queues, and streaming systems.
• Experience building reliable autonomous AI systems in enterprise environments.
• Ability to work in ambiguous environments and influence teams without direct authority.

Preferred Qualifications

• Experience in fintech or regulated industries.
• Experience as founding engineer or technical leader in AI products.
• Experience contributing to open-source AI/agentic frameworks.
• Familiarity with model optimization and inference pipelines.