AI Engineer

Job not on LinkedIn

🔥 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 AI systems using frontier models, retrieval, tool use, agents, and structured workflows • Design and productionize LLM pipelines, including prompting, context engineering, retrieval, orchestration, and evaluations • Build backend services, APIs, data flows, and integrations that power AI products • Work on real-time voice and multimodal AI systems • Design evaluation suites that identify failures, regressions, and opportunities to improve model behavior • Experiment with new models and techniques and determine what is useful in production • Debug problems across models, application code, data, and infrastructure • Communicate technical decisions, tradeoffs, results, and failures clearly

🎯 Requirements

• 3+ years of strong software or AI engineering experience • Excellent Python and software engineering fundamentals • Experience shipping LLM-powered or machine-learning systems into production • Strong understanding of retrieval, embeddings, tool calling, agents, and evaluations • Ability to reason about latency, reliability, observability, cost, and failure modes • Exceptional written and verbal communication • Ability to take an ambiguous problem, structure it clearly, and drive it to completion • High agency and a bias toward building and shipping • Experience with speech, voice AI, or real-time systems • Experience with AWS and production cloud infrastructure • Experience building developer platforms or reusable AI infrastructure • Experience working directly with enterprise customers or in regulated industries

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