Job Title: Staff Engineer - Applied AI
Location: 100% Remote
Duration: 12+ Months W2 Contract to Hire
Job Description:
• Identify and evaluate opportunities for automating business processes using AI, intelligent workflows, and agent-based systems.
• Architect, build, and deploy applied AI solutions across high-value enterprise workflows including automation, document intelligence, decision support, and intelligent assistants.
• Design and implement AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic to automate complex processes at scale.
• Build systems and services that meet high standards for scalability, resilience, performance, and availability.
• Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi-step workflows.
• Collaborate with product, engineering, operations, and analytics partners to co-create scalable AI solutions and translate business needs into technical designs.
• Mentor engineers and scientists who want to develop AI and agentic workflow skills through coaching, pairing, reviews, and architectural guidance.
• Drive innovation by exploring new models, frameworks, and reasoning techniques and applying them creatively to real-world challenges.
• Lead through technical influence by providing guidance on architecture, experimentation, and deployment across multiple teams.
• Run rigorous experimentation and evaluation including hypothesis definition, measurement, validation, and iterative improvement in production environments.
• Establish and model engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems.
What We Are Looking For (Must Have):
• 8 or more years of professional software engineering or applied machine learning experience, including 2 or more years working with Generative AI or LLM-based systems in production.
• Experience adding intelligence to internal processes and workflows to improve efficiency, automation, and decision-making
• Track record of improving system reliability and scalability through architectural improvements, performance optimization, and infrastructure enhancements
• Proven experience building scalable, resilient, secure, and maintainable products and systems that run reliably in production.
• Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration.
• Ability to collaborate deeply across teams and co-create solutions with engineers, product managers, and domain experts.
• Experience mentoring engineers and helping others grow in AI, LLM, and agent-based system design.
• A history of delivering measurable business outcomes from AI systems.
• Strong competency in distributed systems, service design, performance optimization, and reliability engineering.
Nice to Have:
• Experience building advanced Generative AI capabilities including domain-tuned LLMs, vector reasoning techniques, or specialized retrieval architectures.
• Experience with insurance, financial services, or other regulated industries.
• Experience deploying AI components in Java ecosystems including Spring AI, LangChain4j, or Embabel.
• Background in document intelligence, fraud or anomaly modeling, or complex ontology and knowledge graph design.
• Familiarity with AI safety practices, evaluation frameworks, monitoring, and regulatory compliance.
Ability to effectively communicate complex technical topics to senior leadership and non-technical stakeholders.
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