Forward Deployed Engineer - Tech

About Synthio Labs

Agentic AI platform for Pharma GTM teams

Tech description:

We’re building large-scale, production-grade AI voice and chat agents for healthcare. Our stack includes Python, Node.js, TypeScript, React, and we run most of our workloads on AWS. On the voice side, we use Vapi, LiveKit, and Deepgram.

We leverage modern LLMs (GPT, Claude, Gemini) and work with both cloud and hybrid/on-prem deployments (think: complex VPCs, custom infra, tight security).

Some challenges we’re tackling:
- Real-time, compliant voice and chat with doctors and HCPs
- Voice evals (for pronunciation of complex medical terms, data from clinical trials etc.)
- Seamless, low-latency audio and text processing (Vapi, LiveKit, Deepgram)
- Secure integrations with EMRs, CRMs, and medical content systems
- Scaling AI while meeting strict privacy, audit, and explainability requirements
- Building infrastructure that’s modular and works in cloud or fully on-prem setups.

Job description:

**_We’re building the next generation of conversational voice and video AI for life sciences—intelligent with 100% regulatory compliance. Our AI medical experts help pharma teams engage doctors, support patients, and unlock insights faster than ever before. We’ve just raised our seed, signed our first customers, and are scaling fast. If you're excited about building real-world AI in an early stage startup and shape not just our product, but our identity and culture —this is your moment._**



**_We move like owners._** Everyone at SynthioLabs has the autonomy and the responsibility to drive projects, challenge decisions, and push things forward. We don’t wait for permission. If you see a gap, you fill it. If you see a better way, you try it.



**_We ask “why” until we get to the root._** We explore new ideas, research papers, every single edge case and anything that sharpens our understanding.



**_We use AI like a second brain._** From writing code to writing docs, debugging flows to exploring new ideas, AI is part of our daily rhythm. Everyone here gets hands-on with the tools, learns how to prompt better, and treats AI as a teammate.





## 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.**