--- title: 'Forward Deployed Engineer - Tech at Synthio Labs' canonical: 'https://feeny.ai/job/forward-deployed-engineer-tech-synthio-labs-san-francisco-10c6had6fby3' type: 'job' last_seen: '2026-09-09' --- # Forward Deployed Engineer - Tech at Synthio Labs - **Company:** Synthio Labs - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-03-07 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.gem.com/synthio-labs/am9icG9zdDp8yHH0IGRlNGf1VfZH3m6v ## Job description ## Overview We are looking for a Forward Deployed Engineer – Tech to work at the intersection of AI engineering, product deployment, and client engagement. This role partners closely with customers and internal engineering teams to build, deploy, and operationalize AI-powered applications in real-world commercial environments. You will combine software engineering, AI application development, and product thinking to translate complex business workflows into scalable AI systems. The role requires hands-on experience building AI-enabled applications, integrating LLMs, and deploying production-grade infrastructure, along with the ability to work directly with clients to implement solutions. This position is ideal for engineers who enjoy building quickly, solving ambiguous problems, working directly with customers, and shipping production systems that power real-world AI applications. ## Responsibilities AI Application Development - Build AI-powered applications using LLMs, APIs, and modern AI frameworks. - Design and implement workflows that combine structured enterprise data with generative AI capabilities. - Develop prototypes and production-ready systems that support real-world client deployments. Infrastructure and Deployment - Design and manage infrastructure required to deploy AI applications reliably and securely. - Work with cloud environments to support model hosting, data pipelines, and scalable application deployment. - Implement monitoring, performance optimization, and system reliability practices. Client-Facing AI Application Deployment - Work directly with clients and internal teams to implement and customize AI-powered applications for commercial and operational use cases. - Translate client workflows and requirements into scalable AI-driven software solutions. - Serve as the technical bridge between client teams, product, and engineering. Product Collaboration - Partner with product and engineering teams to translate client needs into scalable platform capabilities. - Contribute to the development of reusable infrastructure and components for AI application deployment. - Support rapid prototyping and experimentation to accelerate product development. Stakeholder Communication - Work closely with client technical teams to integrate AI solutions into their environments. - Explain technical architectures and deployment approaches to both technical and non-technical stakeholders. - Collaborate cross-functionally across product, engineering, and founders directly. Education Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related technical field. ## Experience - 0–3 years of experience in software engineering, AI engineering, or machine learning systems development. - Experience building applications using Python, JavaScript, or similar languages. - Experience working with LLM APIs, AI frameworks, or generative AI tooling is preferred. - Familiarity with cloud infrastructure and application deployment is preferred. Technical Skills - Experience building and deploying production software systems. - Familiarity with AI application development frameworks, APIs, and model integration. - Understanding of software architecture, system design, and backend services. - Experience with containerization, APIs, or cloud platforms is a plus. Domain Knowledge - Exposure to pharmaceutical or healthcare technology environments is a plus but not required. - Interest in applying AI systems to life sciences commercial and operational workflows is preferred. ## Skills - Strong engineering and problem-solving abilities. - Ability to build and iterate quickly in ambiguous environments. - Comfort working in client-facing technical roles. - Strong collaboration across engineering, product, and customer teams. What Makes This Role Unique - Work directly with clients to deploy real AI systems into production environments. - Build AI-powered applications rather than just models or prototypes. - Blend software engineering, AI infrastructure, and customer-facing problem solving. - Help build the next generation of AI-native platforms for life sciences. ## About Synthio Labs ## Company Overview - **One-liner**: Synthio Labs builds an agentic AI platform for life sciences, enabling compliant, empathetic engagement between pharmaceutical companies and their HCPs and patients. - **Entity Type**: Private (Seed stage, Y Combinator-backed) - **Headquarters**: San Francisco, California, United States - **Founded**: 2024 - **Founders**: Supreet Deshpande (CEO), Rajashekar Vasantha (CTO), Sahitya Sridhar (Co-Founder) ## Core Business - **Primary industry/industries**: Life Sciences / Healthcare AI, Pharmaceutical Commercial Operations - **Target customers**: B2B – Enterprise pharma GTM teams (Medical Affairs, Commercial, Patient Support, Field Teams) - **Mission or purpose statement**: “Reimagine how pharma engages with its most important stakeholders – physicians and patients” by delivering an always-on AI medical expert that provides compliant, accurate, and science-first engagement. ## Products & Services - **Jarvis**: Voice AI copilot for field teams (SaaS) - **Ather**: Voice AI agents for HCP engagement (SaaS) - **Helix**: Voice AI agents for patient support (SaaS) - **Simulation Studio**: AI digital twins for market research (SaaS) - **Polaris HQ**: Natural language interface to query internal data (“Talk to your data”) (SaaS) - **Atlas**: AI-Ready HCP 360 – unified customer view (SaaS) All products are multimodal (voice, chat, video) and purpose-built for regulated healthcare workflows. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: $5M total funding (Seed rounds, latest in November 2025) - **Notable Investors/Partners**: Elevation Capital (lead), Y Combinator, and other seed investors; integrations with Veeva, Salesforce, MedInfo systems - **Growth Signals**: Headcount grew 866.7% YoY (26–29 employees as of mid-2026); 5,000 patients engaged in first 48 hours for a launch campaign; strong starter kit uptake and adherence lift. ## Competitive Advantages - **Purpose-built for regulated healthcare**: Every response is grounded in approved label content, with automated verification and adverse event escalation built in. - **Clinical reasoning engine**: Benchmarked on USMLE-style evaluations; delivers precise medical understanding and empathetic conversations. - **System of Context**: Creates a holistic customer-journey map across the entire engagement ecosystem, syncing with Veeva, Salesforce, and enterprise CRMs. - **Founding team expertise**: Ex-McKinsey, ex-ZS, and AI researchers from Amazon; combined 25+ years in life sciences and frontier LLM building. ## Strategic Focus - Expand the agentic AI platform to cover more pharma workflows (field, HCP, patient, marketing, commercial ops). - Deepen compliance and safety features to maintain trust with regulators and pharma partners. - Scale headcount rapidly (current 26–29, high growth trajectory) with an emphasis on engineering, AI, and forward-deployed roles. ## Why Work Here - **Culture**: “Fast, agile, high growth” – Y Combinator startup with ownership mentality; employees are encouraged to fill gaps, challenge decisions, and push projects forward without waiting for permission. - **Remote/Hybrid**: Primarily San Francisco office with remote roles available (some roles listed as remote). - **AI-first environment**: Everyone uses AI as a “second brain” – from coding to docs to debugging; AI is treated as a teammate. - **Impact**: Work directly on products that help patients navigate care and doctors make better decisions, with a focus on safety and empathy. - **Perks**: Autonomy, responsibility, hands-on experience with frontier AI tools; exposure to top pharma clients and real-world deployment. ## Sources 1. [synthiolabs.com/careers](https://synthiolabs.com/careers) 2. [synthiolabs.com](https://synthiolabs.com/) 3. [linkedin.com/company/synthiolabs](https://linkedin.com/company/synthiolabs) 4. [ycombinator.com/companies/synthio-labs](https://www.ycombinator.com/companies/synthio-labs) ## Other roles at Synthio Labs - [Design Engineer](https://feeny.ai/job/design-engineer-synthio-labs-india-ypmb6he7f4qe) — India - [Frontend Developer](https://feeny.ai/job/frontend-developer-synthio-labs-india-sabrnxa79g2q) — India - [Forward Deployed Engineer - Pharma Commercial](https://feeny.ai/job/forward-deployed-engineer-pharma-commercial-synthio-labs-india-qswh3v88h9hf) — India - [Other](https://feeny.ai/job/other-synthio-labs-san-francisco-4wexpz670xxf) — San Francisco, CA - [Forward Deployed Engineer - Product](https://feeny.ai/job/forward-deployed-engineer-product-synthio-labs-san-francisco-y1r39qzee60q) — San Francisco, CA - [Software Engineer - AI](https://feeny.ai/job/software-engineer-ai-synthio-labs-india-xn4xv6rbbbe8) — India