3.0 - 8.0 years

40 - 45 Lacs

Bengaluru

Hybrid

Experience: 3 + years Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Placement Type: Full Time Permanent position Must have skills required: Customer Facing, Excellent Communication, Prompt Engineering, US healthcare industry experience, AI deployments, AI workflows, LLM, Voice AI agents, Google Cloud Platform Position Summary: As a Forward Deployed AI Engineer, youll bridge our core technology and enterprise healthcare customers. In this hybrid rolespanning engineering, product, and customer successyoull embed with key clients to deploy AI voice agents, build integrations, and ensure impactful adoption of our platform. One week youll be stress-testing workflows and refining backend systems; the next, youll be guiding product decisions or leading technical workshops. If you excel in fast-paced environments, love solving complex challenges, and want to make AI agents production-ready in healthcare, you belong here. Key Responsibilities: Customer-Facing Engineering. Partner with Sales and Customer Success to deliver seamless AI deployments. Build custom integrations, troubleshoot issues, and ensure rapid time-to-value. AI Workflow Optimization. Design edge-case scenarios to stress-test voice agents, uncover blind spots, and boost reliability across healthcare workflows. Product Influence. Act as the voice of the customergather hands-on insights, collaborate with the Product Core Team, and help refine the roadmap. Technical Enablement. Lead client workshops, develop demos, improve documentation, and serve as the go-to technical expert. Prompt Engineering & LLM Exploration. Experiment with LLMs, voice AI, and prompts to enhance agent performance, accuracy, and contextual understanding. Qualifications: Bachelors degree in Computer Science, Electrical Engineering, or related field from a top-tier institution 2-4 years of hands-on experience in software engineering, AI/ML deployment, or backend integrations Strong understanding of AI workflows, APIs, and cloud platforms (GCP preferred) Excellent problem-solving skills with a passion for ambiguous, real-world challenges Exceptional communicationcomfortable interfacing with technical teams and business stakeholders Prior exposure to LLMs, voice AI, prompt engineering, or conversational AI platforms is a plus Experience in startups or fast-paced environments preferred Ability to juggle multiple priorities with high attention to detail and 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 providers to solve meaningful problems. Gain cross-functional exposure in engineering, product, and customer success. Collaborate in a high-ownership culture where your insights shape the product. Leverage cutting-edge AI technologies (LLMs, voice agents, RPA, healthcare integrations). Join a fast-growing startup backed by leading investors, with significant career growth ahead. Mode: Hybrid (Bangalore) Shift Timings: 12PM - 9PM IST

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