Director

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Meytier Premier Employer

About This Workplace

Meytier Partner

Job description

Our organization fosters a culture rooted in a long-standing history of innovation, shared values, and leadership behaviors, with a steadfast commitment to supporting our customers, communities, and colleagues. We deliver unique products and provide exceptional customer service, operating with a strong risk mindset to ensure we uphold our promise of trust, security, and service.


As part of our team, you'll experience comprehensive support for your holistic well-being and numerous opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us shape the future.


The Role

As a Senior Staff Data Engineer – Agentic AI, you will operate as a senior individual contributor within our technology division, helping define how agentic AI systems are designed, built, and operated across the organization.

You will work at the intersection of agentic system architecture and hands-on execution: designing core frameworks, writing production code, reviewing critical designs, and guiding teams through complex technical decisions. This role does not include people management; your impact comes from technical leadership, sound judgment, and the ability to turn ambiguity into reliable, scalable agentic systems.


You will work closely with Product and UX partners to shape a shared vision for agentic AI experiences. While product teams own prioritization, Staff engineers are expected to actively influence what gets built and how agentic systems come together across teams.


This is an individual contributor, hands-on, deeply technical role with broad architectural ownership and high organizational impact; however, as the team grows, you will take on increasing responsibility for technical leadership and people development within the agentic AI space. Mentoring, developing and managing direct reports may be in scope for some of our opportunities.


What You’ll Do

• Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.

• Design, build, and operate production-grade agentic AI systems used across multiple products.

• Own and evolve shared agentic AI capabilities, including:

• Agent frameworks and orchestration layers

• Planning, tool use, and memory strategies

• Retrieval and grounding (RAG) pipelines

• LLM infrastructure, inference, and model gateways

• Evaluation, observability, and safety tooling for autonomous systems

• Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.

• Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production.

• Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements.

• Mentor senior engineers and raise the technical bar for agentic AI development through example and influence.


Technical Environment

We don’t hire to a narrow checklist, but candidates should be comfortable operating in a modern, enterprise-scale engineering environment with a strong emphasis on agentic AI.


Core engineering stack

• Languages: Python, Go, TypeScript

• APIs and RPC: REST, gRPC (and in some areas tRPC)

• Cloud and infrastructure: AWS and/or GCP, Kubernetes

• Distributed systems: event-driven architectures, including Kafka

• Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc


Agentic AI and ML

• Integration of commercial and open-source LLMs into agentic workflows

• Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with strong judgment about when to use frameworks versus building lighter-weight primitives

• Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlow

• Strong schema, validation, and state management practices using tools such as Pydantic (Python) and Zod (TypeScript)


Across all systems, we emphasize evaluation, observability, safety, and reliability, reflecting the responsibility of deploying autonomous AI in a regulated, customer-facing environment.


What We’re Looking For

• 12+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure

• Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.

• Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.

• Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.

• Fluency with AI-assisted and agentic development workflows.

• Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems.

• Ability to influence technical direction and align teams without formal authority.

• Experience in workflow engines, async processing, queues, and streaming systems.


Preferred Qualifications

• Experience building agentic systems in fintech or other regulated industries.

• Experience as a founding engineer or early technical leader in AI-driven products.

• Demonstrated success delivering technically complex autonomous systems that customers actively rely on.

• Meaningful contributions to open-source AI or agentic frameworks.

• Familiarity with fine-tuning, model optimization and inference pipelines is a plus

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