Live opening · Posted 1 day ago
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About the role
Description supplied by the original job listing.
Synthio Labs is looking for a hands-on Software Engineer who enjoys building end-to-end systems and shipping production-grade products. This role sits at the intersection of backend engineering, AI systems, and infrastructure. You'll work on LLM-powered and voice-enabled applications, integrate external APIs, and own services from design through deployment and operation. You'll join a small, fast-moving team building real-world software for healthcare and pharma, where reliability, performance, and correctness are non-negotiable. We value engineers who take ownership, move quickly, and are comfortable operating across the stack.
Responsibilities:
Build and maintain backend services that power AI- and LLM-driven products.
Design and implement APIs, data flows, and service integrations.
Productionize LLM-based workflows (prompting, retrieval, orchestration, evaluations).
Deploy and operate services with a focus on low latency, high availability, and robustness.
Design and manage infrastructure (containerization, cloud services, CI/CD).
Work on voice-enabled systems (STT/TTS, streaming APIs) as part of end-user experiences.
Monitor, debug, and optimise systems for performance, reliability, and cost.
Collaborate closely with founders and product stakeholders to turn ambiguous requirements into scalable software.
Own features and services end-to-end, from initial design to production support.
Requirements:
2-5 years of experience in software engineering or backend-focused roles.
Strong proficiency in Python.
Experience designing and building APIs and backend systems.
Hands-on experience working with LLM APIs (OpenAI, Anthropic, or similar).
Comfort with cloud infrastructure and DevOps fundamentals (Docker, AWS ECS/EKS/Lambda, observability, basic security).
Interest in AI-powered systems, including voice and conversational interfaces.
Solid systems and architecture thinking, with a pragmatic approach to tradeoffs.
Ability to work with incomplete specs and make sound engineering decisions independently.
Skills
Python, Agentic AI, APIs, LLMs, Machine Learning, OpenAI
Experience
2-5 yrs
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