We are looking for a hands-on AI Engineer who can build production-grade voice agents using modern generative-AI stacks such as VAPI, ElevenLabs,, Deepgram, OpenAI Realtime, or similar platforms.
This role is ideal for someone who is naturally curious, learns independently, and loves staying ahead of the rapidly-changing AI landscape.
What You'll Do
* Build, test, and deploy real-time voice agents that handle live customer conversations end-to-end.
* Use tools like VAPI, ElevenLabs, Deepgram, Whisper, Speechmatics, or other voice stacks.
* Prototype quickly, iterate aggressively, and turn early MVPs into production-ready agents.
* Integrate LLMs with telephony tools, APIs, vector DBs, and backend workflows.
* Analyze and improve conversational flows, latency, hallucinations, and overall reliability.
* Work closely with senior engineers and founders on real customer deployments.
* Continuously self-learn emerging tools, frameworks, and model capabilities—and bring new ideas to the team.
What Makes You a Great Fit
* Proven work: You've built at least 1–2 working voice agents or AI projects (personal, academic, hackathon, internship).
* Strong understanding of LLMs, prompts, retrieval, and foundational agent concepts.
* Experience with TTS/ASR providers (ElevenLabs, Deepgram, Whisper, etc.).
* Solid programming skills (Python or JS/TS preferred).
* Ability to thrive in a fast-paced, iterative, startup-style environment.
* Self-learner with a habit of exploring new tools, reading docs, watching updates, and experimenting independently.
* Passionate about generative AI and excited by weekly releases of new models, techniques, and frameworks.
Bonus Skills (Nice to Have)
* Experience with VAPI, PlayAI, Retell, or other voice agent frameworks.
* Familiarity with RAG, embeddings, and vector databases (Pinecone, Weaviate, Chroma).
* Understanding of real-time system optimizations and low-latency design.
* Experience deploying apps or agents to cloud platforms (AWS, GCP, Vercel).
Why Join Us
* Build real production voice agents used by actual customers—not classroom demos.
* Work directly with founders and senior engineers solving cutting-edge problems.
* Learn extremely fast: 3 months here = 12 months anywhere else.
* High ownership, real impact, and potential to convert to a full-time role.