Staff Forward Deployed Engineer – Technology Lead

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead a team of five members stationed at a client location.

• Utilize problem-solving skills, creativity, and technical expertise to facilitate AI-driven operational changes within healthcare systems.

• Collaborate with Qventus R&D leadership and integrate with client operational, executive, and IT teams.

• Gain a thorough understanding of the client’s context and Qventus capabilities to pinpoint significant opportunities for customized AI Operational Assistant workflows.

• Design, implement, and enhance tailored AI Operational Assistant use cases for the client.

• Utilize LLM-based AI technologies such as GPT, Claude, Gemini, and LLaMA to develop sophisticated conversational systems.

• Employ agentic frameworks and tools.

• Implement conversation modeling techniques, including state machines, decision trees, and graph-based workflows.

• Connect bots with APIs, CRMs, and enterprise systems.

• Improve bot functionalities using custom scripts, API calls, and external system integrations.

• Optimize and refine AI agents using actual user data.

• Oversee and address agent failures, mismatches, and fallback challenges.

• Create and conduct unit, regression, and A/B testing.

• Establish real-time monitoring, analytics, and logging.

• Collaborate with the AI Solution Consultant to shape client use cases.

• Work with Qventus architects, engineers, data scientists, and client end-users, as well as IT teams, to define and enhance product requirements.

• Collaborate with software engineers and data scientists to refine LLM integration and behavior.

• Document conversation logic, prompt structures, and decision-making processes.

• Mentor and assist cross-functional colleagues across the forward-deployed client team.

⛳️ Requirements

• Minimum of 5 years of experience and a demonstrated history in product management or solution architect roles.

• Excellent communication skills with the ability to influence and collaborate at all organizational levels.

• Practical experience in agentic design, prompt engineering, and architecture.

• Proficient in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar.

• In-depth knowledge of emerging LLM technologies.

• Strong customer empathy and a commitment to making a real-world impact.

• Capability to independently troubleshoot complex system issues.

• Ability to work independently in a fast-paced environment with evolving objectives and user feedback.

• Effective collaboration skills with both technical and non-technical teams.

• Willingness to travel as required to client locations, expected 25–50%.

• Experience with voice-enabled conversational AI systems is preferred.

• Familiarity with vector databases, embeddings, and RAG is advantageous.

• Experience in applying knowledge graphs within AI agent workflows is a plus.

• Previous experience in developing AI agents or automated workflows in healthcare or regulated sectors is beneficial.

• Background in healthcare operations, medicine, or healthcare finance is a plus.

• Employment is contingent upon successful completion of a pre-employment background check and drug screening.

🏝️ Benefits

• Open Paid Time Off.

• Paid parental leave.

• Opportunities for professional development.

• Wellness stipends.

• Technology stipends.

• Employee referral bonuses.

• Employee stock option awards.