Applied AI Engineer, Life Sciences

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🔥 9 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 production-grade applications using LLMs, retrieval, agents, structured data, and multimodal AI • Design AI workflows across pharmaceutical commercial, medical, and patient use cases • Build retrieval and knowledge systems over scientific, medical, and enterprise data • Develop evaluation frameworks for accuracy, reliability, safety, and domain-specific failure modes • Work with pharma datasets including CRM, claims, sales, HCP, patient, clinical, and scientific data • Prototype quickly, evaluate approaches rigorously, and productionize what works • Work directly with domain experts and customers to translate complex workflows into technical solutions

🎯 Requirements

• 3+ years of experience in AI/ML, applied machine learning, or software engineering • Strong Python skills and experience building production AI systems • Hands-on experience with LLMs, embeddings, retrieval, agentic workflows, or related applied AI systems • Prior experience working directly with pharmaceutical companies, pharma teams, or life sciences products • Strong fundamentals in experimentation, evaluation, and debugging AI systems • Excellent communication with technical and non-technical stakeholders • High ownership and comfort solving ambiguous problems • Pharma commercial, medical affairs, patient services, clinical, or market access experience is a strong plus • Experience with healthcare datasets, scientific literature, or medical knowledge systems is a strong plus • Experience with voice AI, speech systems, or regulated AI deployments is a strong plus

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