Staff AI Engineer

his position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff AI Engineer in United States.

This role sits at the forefront of building next-generation autonomous AI systems that transform complex financial operations into intelligent, real-time workflows. You will design and deploy advanced agentic systems that automate multi-step processes across global financial platforms, leveraging cutting-edge AI frameworks and production-grade engineering practices. The position requires deep technical expertise in applied machine learning, system design, and AI orchestration at scale. You will work on high-impact problems involving reasoning systems, tool use, and workflow automation that directly influence how businesses manage financial operations. Operating in a fast-paced, research-driven environment, you will collaborate with world-class engineers to push the boundaries of applied AI. This is a highly strategic role where your work will shape scalable, production-ready AI systems used across global enterprise workflows.

Accountabilities:

Architect, design, and deploy advanced AI agents and autonomous systems using modern frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, and related toolchains.
Develop and optimize multi-step reasoning systems for complex workflow automation in production environments.
Apply appropriate AI techniques including prompting strategies, RAG pipelines, fine-tuning, and model training depending on system requirements.
Build scalable, self-improving AI systems that enhance performance over time through usage-driven feedback loops.
Collaborate with backend and frontend engineering teams to integrate AI capabilities into secure, production-grade applications.
Design robust system architectures that balance reasoning, tool use, performance, reliability, and compliance requirements.
Define and implement monitoring, evaluation, and iteration frameworks for production AI systems.

Requirements:

5+ years of experience in applied AI/ML engineering with proven production-level deployments.
Strong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow, or JAX.
Demonstrated experience building AI agents, orchestration systems, or multi-step reasoning pipelines in production environments.
Strong understanding of LLM-based systems, including evaluation, monitoring, and iterative optimization.
Experience designing scalable AI architectures with a focus on reliability, performance, and maintainability.
Ability to work across research and engineering boundaries, translating experimental models into production systems.
Strong problem-solving skills with the ability to balance innovation, scalability, and operational constraints.
Experience working in fast-paced, high-growth environments is highly valued.

Benefits:

Competitive compensation package aligned with experience and impact.
Equity participation as part of the long-term incentive structure.
Comprehensive health, dental, and vision insurance coverage.
Flexible remote work environment with global collaboration opportunities.
Access to cutting-edge AI systems, tools, and large-scale datasets.
Strong focus on learning, experimentation, and technical growth.
Opportunity to work on high-impact AI systems used in global financial infrastructure.
Inclusive and collaborative culture focused on innovation and engineering excellence.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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