Member of Technical Staff (Virtual Agent)

Enam, Inc.; Berlin; Sur place; EUR 90 000 - 120 000; Plein temps

Résumé du poste

Enam, Inc. is building an AI-powered acquisition platform that transforms how portfolio companies are onboarded and operated.

You will contribute to a scalable VA platform, integrating with legacy systems and data warehouses, and work closely with product, engineering, and portfolio stakeholders to optimize performance and impact. You will design and ship production-grade voice agents, monitor outcomes, and iterate rapidly to close the development loop from production issues to agent fixes.

Qualifications

• AI-native development experience with coding agents (Codex/Claude Code).
• Strong Python programming, including async patterns, plus LLM APIs.
• Experience shipping customer-facing LLM apps at scale.
• Excellent communication with product, engineering and stakeholders.
• Comfort with open-ended problems in complex environments.
• Nice to have: LiveKit/WebRTC, LLM fine-tuning/prompt optimization, Go.

Responsabilités

• Contribute to our vertical-agnostic VA platform and implement voice agents handling millions of calls.
• Collaborate with internal and external stakeholders to identify opportunities and guide usage of the VA platform.
• Help build a self-improving system that closes the development loop for the VA from production issues to agent fixes.
• Integrate into legacy systems, including API design and working with historical warehouse data.
• Identify ways to accelerate onboarding of portfolio companies to the VA with faster acquisitions.
• Own projects end to end: define metrics, scope, implement, and measure impact in production.

Connaissances

Codex/Claude Code

Python

Async Python

LLM APIs

Prompt engineering

Go programming

LiveKit

WebRTC

Outils

Git

API design

Description du poste

Join us at the frontier of AI, acquisitions, and transformation. Our mission is to accelerate the future of work. Our work is inspired by Ford's assembly line and Ohno's production system.

We are a well-funded company pioneering a new model of acquisition-led growth. Instead of building software companies the traditional way, chasing customers with sales and marketing, we acquire services businesses and reinvent them from the inside out.

Our founding team has a strong track record in AI and company-building, with members who have helped build AI startups to unicorn scale, including Cresta.ai.

Our approach is not SaaS. We drive growth through acquisition, and technology is our transformation engine. Each company we bring on board comes with complex workflows, legacy systems, messy data, and untapped operational leverage. We turn that complexity into opportunity, building platforms that unlock efficiency, scale, and profitability.

What you will do

• Contribute to our vertical-agnostic VA (virtual agent) platform, and use it to implement voice agents handling millions of calls for various use cases in our portfolio companies.
• Collaborate with both internal and external stakeholders to identify opportunities and guide them on how to use our VA platform.
• Help build a self-improving system that closes the development loop for the VA, from identifying issues in production to kicking off agents to fix them.
• Integrate into the legacy systems of our portfolio companies, including API design and working with historical warehouse data.
• Identify ways to accelerate the onboarding process of our portfolio companies to the VA. Our goal is to make this simpler and faster with every acquisition.
• Own projects end to end, from defining metrics, scoping and implementation, to measuring impact in production.

What we look for

• AI-native development practice, including hands-on experience with coding agents like Codex or Claude Code to plan, write, and ship production code.
• Strong programming skills in Python, including async Python, and experience with prompt engineering and LLM APIs.
• Experience shipping customer facing LLM applications at scale, including monitoring and evaluation in production.
• Strong communication skills: you will be interacting with product, engineering and stakeholders in our portfolio companies on a daily basis.
• Comfortable tackling open-ended problems, working with incomplete information, and navigating complex or unfamiliar technical environments.
• Nice to have: previous experience with virtual agents (text or voice), LiveKit or similar frameworks using WebRTC, as well as LLM fine tuning / prompt optimization using GEPA. Experience programming in Go is also a plus.