Staff AI Engineer in United States at Jobgether

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.

• 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.