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Forward Deployed AI Engineer

About Confido Health

Confido Health is transforming healthcare administration through AI-powered automation. Our mission is to eliminate the inefficiencies that burden healthcare providers by deploying intelligent, reliable AI agents that handle front-office and back-office workflows. From patient scheduling to revenue cycle tasks, our AI seamlessly integrates with existing healthcare systems, improving patient experiences and driving operational excellence. Backed by top-tier investors, we are a fast-growing, mission-driven startup redefining how healthcare communicates and operates. Confido Health is an equal opportunity employer and does not discriminate in employment decisions based on protected characteristics like race, color, religion, sex, national origin, age, disability, or veteran status.

Position Summary

We are looking for a Forward Deployed AI Engineer to act as a critical bridge between our technology and our enterprise healthcare customers. This hybrid role spans engineering, product, and customer success. You will work directly with some of our largest clients, embedding within their teams to deploy AI voice agents, build integrations, and ensure smooth, impactful adoption of our platform. One week you’ll be hands-on with AI workflows and backend systems; the next, you’ll drive insights that shape our product roadmap or lead technical workshops to unblock customer success. If you thrive in fast-paced environments, enjoy solving complex problems, and are passionate about making AI agents production-ready and reliable, this is the perfect role for you.

Key Responsibilities

Customer-Facing Engineering:

Partner with Sales and Customer Success to deliver seamless AI deployments for enterprise healthcare clients. Build custom integrations, troubleshoot issues, and ensure rapid time-to-value.

AI Workflow Optimization:

Design and implement real-world and edge-case scenarios to stress-test AI voice agents, identify blind spots, and improve reliability across healthcare workflows.

Product Influence:

Act as the voice of the customer—gather hands-on insights and collaborate with the Product Core Team to prioritize features and refine the roadmap.

Technical Enablement:

Lead client workshops, craft demos, improve technical documentation, and serve as● the go-to technical expert to accelerate adoption and success.

Prompt Engineering & LLM Exploration:

Continuously experiment with LLMs, voice AI, and prompt engineering to enhance agent performance, accuracy, and contextual understanding.

Qualifications

  • Bachelor’s degree in Computer Science or related field from a Tier 1 institution (IITs, BITS, NITs).
  • 2-4 years of hands-on experience in software engineering, AI/ML deployment, or backend integrations. Languages - Python and Java Script
  • Strong understanding of AI workflows, APIs, and cloud platforms (GCP preferred).
  • Excellent problem-solving skills with a passion for tackling ambiguous, real-world challenges.
  • Ability to explore new software systems with which we would need to interface.
  • Exceptional communication skills—able to interface confidently with both technical teams and business stakeholders (including clients).
  • Prior exposure to LLMs, voice AI, prompt engineering, or conversational AI platforms is a strong plus.
  • Experience working in startups or fast-paced environments is preferred.
  • Ability to manage multiple priorities while maintaining high attention to detail and execution speed.
  • Curious, adaptable, and driven by customer impact.

Why Join Confido Health

  • Be at the forefront of AI-driven transformation in healthcare.
  • Work directly with leading healthcare providers to solve meaningful problems.
  • Exposure across engineering, product, and customer success—grow as a true cross-functional leader.
  • Collaborative, high-ownership culture where your insights directly shape the product.
  • Opportunity to work with cutting-edge AI technologies (LLMs, voice agents, RPA, healthcare integrations).
  • Fast-growing startup backed by leading investors, offering significant career growth.

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
May 15, 2025

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