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Open nowFirst seen 43 hours ago

Lead Software Engineer Agentic AI & Voice Platforms

Veracity Group143 open roles

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Your applicationOpen nowLead Software Engineer Agentic AI & Voice PlatformsVeracity Group

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Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 43 hours ago

The posting

Employment: 1-year contract

Lead Software Engineer Agentic AI & Voice Platforms

We are seeking a Lead Software Engineer with a deep expertise in Python and Agentic AI to lead the development of next-generation voice-first intelligent applications. This role requires hands-on technical leadership in architecting, deploying, and scaling agentic AI systems across public cloud, private cloud, and bare-metal environments.

Responsibilities

  • Lead and mentor a team of engineers focused on building agentic AIdriven voice applications.
  • Provide platform-level technical leadership and oversight for frontend (React/TypeScript) and backend (Python/TypeScript) application development.
  • Drive platform development initiatives, ensuring scalability, maintainability, and cross-service integration.
  • Own the full software development lifecycle (SDLC) from design and prototyping to deployment and operations.
  • Architect, design, and implement scalable, secure AI workflows and applications in Python.
  • Build and orchestrate multi-agent systems with capabilities such as tool calling, persistent memory, reasoning, and real-time interaction.
  • Integrate and extend frameworks such as LangGraph, Semantic Kernel, CrewAI, or AutoGen for agent orchestration.
  • Develop and optimize voice-based agent applications, including speech-to-text, text-to-speech, and conversational orchestration.
  • Collaborate with AI researchers, product managers, and designers to translate product requirements into robust, user-centric AI systems.
  • Design deployment strategies for GenAI workloads across public clouds (AWS, GCP, Azure), private clouds, and bare-metal infrastructure.
  • Implement and optimize event-driven, low-latency systems for real-time communication (queues, WebSockets, gRPC, or NATS).
  • Lead CI/CD and DevOps practices, ensuring high reliability and efficient deployment pipelines.
  • Encourage best practices in documentation, architecture, and knowledge sharing within the team.
  • Stay ahead of the curve on Agentic AI research, voice interfaces, and emerging developer tools.

Requirements

  • 6+ years of experience in backend/software engineering, with strong expertise in Python.
  • Proven experience architecting and deploying agentic AI systems in production.
  • Strong knowledge of voice application development: speech recognition (STT), natural language processing, and text-to-speech pipelines.
  • Hands-on work with voice agent frameworks or telephony APIs (Twilio, WebRTC, SIP, etc.) and experience with LiveKit (must-have).
  • Experience with vector databases, RAG pipelines, or fine-tuning LLMs.
  • Hands-on experience with frameworks like LangGraph, Semantic Kernel, CrewAI, AutoGen, or equivalents.
  • Solid understanding of public cloud platforms (AWS, GCP, Azure) and deployment in private cloud or bare-metal environments.
  • Proven ability to understand platform development and lead full-stack solutions that integrate React, Python, and TypeScript.
  • Experience with event-driven architectures and real-time communication systems.
  • Skilled in CI/CD, DevOps, containerization (Docker/Kubernetes), and infrastructure-as-code (Terraform or similar).
  • Strong architectural thinking, leadership, and problem-solving abilities.
  • Excellent communication skills in English, both written and verbal.

Bonus

  • Familiarity with multi-modal AI systems (voice + vision + text).
  • Contributions to open-source AI/voice projects or participation in agentic AI research initiatives.
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