Software Engineer – AI

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🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 AI Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 15%

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Synthio Labs

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

💊 Pharmaceuticals

🤖 Artificial Intelligence

🔥 Funding within the last year

💰 $5M Seed Round on 2025-11

Healthcare • Pharmaceuticals • Artificial Intelligence

Synthio Labs is an agentic AI company that builds a multimodal, clinical‑grade voice and agent platform for life sciences and pharmaceutical commercial workflows. Its product suite includes voice AI copilots for field teams (Jarvis), voice AI agents for HCP engagement (Ather) and patient support (Helix), Simulation Studio for AI-driven market research/digital twins, Polaris HQ for data intelligence, and Atlas as an AI‑ready HCP 360. The platform emphasizes clinical accuracy, safety and regulatory compliance to enable continuous, compliant conversations and automation across HCPs, patients, field teams, marketing, and commercial operations.

📋 Description

• Build and maintain backend services that power AI- and LLM-driven products • Design and implement APIs, data flows, and service integrations • Productionize LLM-based workflows (prompting, retrieval, orchestration, evaluations) • Deploy and operate services with a focus on low latency, high availability, and robustness • Design and manage infrastructure (containerization, cloud services, CI/CD) • Work on voice-enabled systems (STT/TTS, streaming APIs) as part of end-user experiences • Monitor, debug, and optimize systems for performance, reliability, and cost • Collaborate closely with founders and product stakeholders to turn ambiguous requirements into scalable software • Own features and services end-to-end, from initial design to production support

🎯 Requirements

• 2–5 years of experience in software engineering or backend-focused roles • Strong proficiency in Python • Experience designing and building APIs and backend systems • Hands-on experience working with LLM APIs (OpenAI, Anthropic, or similar) • Comfort with cloud infrastructure and DevOps fundamentals (Docker, AWS ECS/EKS/Lambda, observability, basic security) • Interest in AI-powered systems, including voice and conversational interfaces • Solid systems and architecture thinking, with a pragmatic approach to tradeoffs • Ability to work with incomplete specs and make sound engineering decisions independently

🏖️ Benefits

• Competitive salary • Remote-friendly • Team offsites in San Francisco

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