Staff AI Engineer in United States at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff AI Engineer based in United States.

This role offers the opportunity to shape the future of AI-powered healthcare solutions by designing and scaling advanced machine learning systems.
You will work on highly complex AI challenges involving generative AI, AI agents, deep learning, and personalization technologies.
As a technical leader, you will influence architecture decisions, engineering standards, and best practices across multiple AI initiatives.
The position requires a hands-on approach, combining deep technical expertise with the ability to solve ambiguous problems at scale.
You will collaborate with engineering, product, and research teams to transform innovative ideas into reliable production systems.
This is an opportunity to make a meaningful impact by building AI solutions that improve outcomes for millions of users.

As a Staff AI Engineer, you will take ownership of the technical direction and execution of AI-driven systems, helping define scalable architectures and engineering practices across the organization. You will act as a technical force multiplier by solving complex challenges, mentoring engineers, and building reliable AI infrastructure.

• Design and develop core AI system architectures that support multiple product areas, ensuring scalability, reliability, and reuse.
• Establish engineering standards, evaluation frameworks, testing strategies, and shared infrastructure for AI and machine learning systems.
• Identify and proactively address technical challenges, improving system performance and preventing future engineering issues.
• Own the development of complex AI solutions, including conversational agents, deep learning models, and personalization systems.
• Build and optimize production-grade AI/ML applications using modern approaches such as generative AI, LLMs, and advanced model evaluation techniques.
• Partner with product, engineering leadership, and research teams to translate complex business goals into effective technical solutions.
• Raise the technical capabilities of the engineering organization through design reviews, code reviews, and knowledge sharing.

The ideal candidate is a highly experienced AI engineer with strong software engineering fundamentals and a passion for solving challenging technical problems. You bring experience building production AI systems and influencing technical decisions across teams.

• 8+ years of professional experience developing AI and machine learning systems in production environments.
• Proven ability to lead complex technical initiatives spanning multiple teams, systems, or platforms.
• Strong expertise in software engineering principles, including system design, testing, CI/CD, debugging, and scalable architecture.
• Experience building and deploying LLM-powered applications, generative AI solutions, AI agents, RAG systems, and advanced prompt engineering workflows.
• Experience designing AI evaluation frameworks, monitoring systems, and shared tooling for machine learning applications.
• Strong programming skills in Python and familiarity with software engineering best practices.
• Experience working with cloud environments, including AWS services and serverless technologies.
• Knowledge of relational databases and production data systems.
• Ability to mentor senior engineers and influence technical strategy without direct management responsibility.
• Strong communication skills with the ability to collaborate across technical and non-technical teams.
• Experience with voice AI, multimodal models, or specialized language models is a plus.
• Bachelor’s or Master’s degree in Computer Science, Statistics, or a related technical field preferred.

• Competitive annual compensation ranging from $250,000 to $265,000 USD.
• Opportunity for equity participation.
• Fully remote work environment with a global and collaborative team.
• Work on impactful AI technology solving meaningful real-world challenges.
• Unlimited vacation policy with manager approval.
• 16 weeks of fully paid parental leave for delivering parents and 8 weeks for non-delivering parents.
• 100% employer-sponsored healthcare, dental, and vision coverage for employees, with family coverage support.
• Health Savings Account (HSA) and Flexible Spending Account (FSA) options.
• 401(k) retirement savings plan with employer contribution.
• Healthy living and wellness stipend.
• Mobile phone bill stipend.
• Continuing education credits and professional development opportunities.