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.
About the Role
Synthio is looking for exceptional AI Engineers who can build deeply technical systems and communicate clearly about what they are building. You will work across our AI stack, from LLM orchestration and retrieval to agents, evaluations, voice systems, APIs, and production infrastructure, owning problems from exploration through deployment and iteration.
What You’ll Do
- 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
What We’re Looking For
- 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.
Strong Plus
- 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
Why This Role Matters
At Synthio, we build software that directly supports patients, physicians, and pharma teams. This is production software, not prototypes or demos. The systems you build will be used in real workflows, under real constraints, and at real scale. You’ll have meaningful ownership and a clear line of sight from your code to real-world impact.
3+ years software or AI engineering experience; strong Python; experience shipping LLM or ML systems; understanding of retrieval, embeddings, tool calling, agents, evaluations; excellent communication; ability to drive ambiguous problems to completion.
Key Responsibilities
- building AI systems
- designing LLM pipelines
- debugging production issues
Skills & Tools
Python, AWS
Job Details
- Category: Software Development
- Seniority: Mid Level
- Commitment: Full Time
- Workplace: Remote — India
- Languages: English
About SynthioLabs
An early-stage startup building conversational voice and video AI for life sciences with regulatory compliance. — Industry: Information Technology