> Markdown version of [/jobs/ext/4640109-senior-software-engineer-applied-ai](https://www.wearedevelopers.com/jobs/ext/4640109-senior-software-engineer-applied-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, Applied AI - **Company:** Take 2 Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Computer Engineering, Distributed Systems, Monitoring of Systems, Python (Programming Language), Machine Learning, Node.Js, Software Engineering, Data Streaming, Retrieval-Augmented Generation, System Availability, Large Language Models, Multi-Agent Systems, Backend, Build Management, Kubernetes, Real-time Inference, Information Technology, Low Latency, Docker - **Published:** November 8, 2026 - **Apply:** https://www.juju.com/job/28_25303_f5ac5ec71f35f3e0cbc7f487266fe87e ## About the Role * 6+ years software engineering experience (backend or full stack) with significant ML and Applied AI experience as a part of that * Bachelor's in Computer Science or Computer Engineering * Have shipped multi-agent AI solutions with real-time inference to live users at scale * Designed and implemented agent orchestration, evaluation frameworks, and related tooling * Shipped production AI applications with real-time inference, integrating ML models into live systems * Built and operated distributed backend systems with monitoring and observability in place * Strong proficiency in Python, JavaScript, Node.js, AWS, Kubernetes, Docker * 2+ years at an early to mid-stage startup (Series B or lower), * Experience self-hosting AI/ML models for use in voice AI pipelines, including tuning and optimizing them for performance and reliability * Experience owning and operating distributed systems in high-throughput, streaming, low-latency environments, ensuring scalability, reliability, and performance under real-time constraints * Direct, hands-on experience integrating and optimizing STT, TTS, VAD, and LLMs for real-time voice agents * Scaled and optimized voice pipelines for low latency, high availability, and real-time performance ## Description Take2 AI is hiring a Senior Software Engineer, Applied AI with deep experience applying agentic AI solutions with multi-agent / RAG in production to design, build, and scale the AI systmes powering Take2's autonomous healthcare recruiting platform. You'll own applied-AI work end-to-end - from prototyping and model selection through production reliability - as we scale from thousands to millions of candidate conversations. This role is high-ownership, hands-on, highly technical, and perfect for someone who thrives in a startup environment, playing a key role from design through production with significant ownership over technical execution and direction., * Design and build applied AI-powered features and agentic workflows - tweak systems, use RAG, build intra-agent networks & communication - and ship them to production * Select, integrate, evaluate, and tune models for the right balance of quality, latency, cost, and reliability across voice AI pipelines (STT/TTS/VAD) * Build evaluation, guardrail, and observability systems to ensure AI behavior is measurable and safe at scale * Own the backend services and data/inference pipelines that serve applied-AI features in production * Collaborate closely with product and founding engineering to rapidly prototype and deliver with significant ownership over technical direction