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AI Engineer - Voice Technologies
AI Engineer - Voice TechnologiesTeam Synergein Global Solutions • Republic Of India, IN
AI Engineer - Voice Technologies

AI Engineer - Voice Technologies

Team Synergein Global Solutions • Republic Of India, IN
16 hours ago
Job description

About the Role

You will help scale our Voice AI Agent (telephony + STT + LLM + TTS) into an enterprise-grade product. This includes building real-time speech / LLM pipelines, barge-in and human takeover flows, data loops for model improvement, and natural interruption handling.

What You’ll Do

  • Implement and tune real-time STT / ASR and TTS pipelines.
  • Orchestrate LLM-driven conversations : prompting, function calling, dialog state, and context handling.
  • Build barge-in logic and reliable human handoff signals.
  • Create datasets for training : recordings, redaction, labeling, metadata;

enable search and retrieval.

  • Optimize latency, accuracy, turn-taking, and cost.
  • Add guardrails, fallbacks, and basic A / B experimentation.
  • Required Skills

  • Programming : Python or Node.Js;
  • modular code, async handling.

  • APIs & Events : REST, webhooks, retries, idempotency.
  • Speech / LLM : Using STT / TTS SDKs or streaming APIs;
  • prompt and function-calling basics.

  • Data : Basic SQL;
  • schema design for transcripts;
  • understanding embeddings / vector search concepts.

  • Cloud (AWS preferred) : S3, Lambda or equivalent services, CloudWatch.
  • Git & CI : Branching, PRs, basic pipelines.
  • Nice to Have

  • Telephony / WebRTC / Twilio / Kixie experience.
  • Vector DBs (pgvector / FAISS) or Redis for caching / queues.
  • Observability tools (OpenTelemetry / Grafana).
  • Security fundamentals (encryption, IAM best practices).
  • Tech Stack

    OpenAI Realtime, Deepgram, Twilio / Kixie, Node.Js / Python, Postgres, Redis, Docker, AWS (S3, Lambda, API Gateway, CloudWatch), WebSockets / SSE.

    Compensation & Benefits

  • Competitive salary and performance bonus
  • Remote / hybrid options within India
  • Learning budget and mentorship
  • Education

    B.E. / B.Tech / M.E. / M.Tech / MCA or equivalent practical experience.

    Notice Period

    Immediate to 30 days preferred.

    Job Type : Contractual / Temporary

    Contract length : 6 months

    Work Location : Remote

    Timings : 3pm to 12am IST

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