AI Engineer

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.