The Role
Lead end-to-end deployments of autonomous LLM-powered agents for enterprise clients, design RAG pipelines and multi-agent orchestration, build integrations and scalable data pipelines, translate field feedback into product features, and act as a technical consultant to deliver production-ready AI solutions.
Summary Generated by Built In
Fledge
Job Summary
In this role, you will:
For this job, you must:
🌈 Diversity, Equity, Inclusion, and Belonging
ℹ️ Important
We are a boutique Talent search firm connecting exceptional Talent with the most innovative companies in the AI and software development industries across EMEA. Our clients are among companies with innovative products that have a positive impact on our societies, and we present them with a solution model between fine consulting and flexible recruitment process outsourcing :
- Fractional Talent Acquisition Advisory
- Recruitment operation tools
- On-demand Talent sourcing expertise
Job Summary
We are looking for a Forward Deployed Engineer to be the technical bridge between our core AI technology and real-world enterprise impact. In this role, you won't just be writing code; you will be the boots-on-the-ground architect responsible for transforming complex business challenges into autonomous, agentic solutions. You will navigate the entire lifecycle of AI deployment—from designing custom RAG pipelines and orchestrating multi-agent flows to ensuring they scale seamlessly within the infrastructures of global industry leaders.
You are someone who thrives in the field, translating customer feedback into scalable features and building the integrations that allow our LLM-powered agents to thrive in diverse environments.
In this role, you will:
- Lead end-to-end deployments of autonomous AI agents within complex enterprise environments, ensuring seamless integration with client workflows.
- Bridge the gap between field learnings and core product, collaborating with R&D teams to translate customer feedback into scalable features.
- Design and build custom integrations and data pipelines that allow our LLM-powered agents to interact with diverse enterprise systems.
- Architect high-impact AI solutions for Fortune 500 clients, moving rapidly from initial prototype to production-ready deployments.
- Act as a technical consultant and partner for client stakeholders, solving their most critical operational challenges through innovative AI orchestration.
- Demonstrate Senior-level technical mastery in Python and modern software architecture, with a proven track record of shipping production-grade code.
- Possess deep experience with LLMs and AI frameworks (e.g., LangChain, RAG architectures), showing an ability to build beyond simple wrappers.
- Exhibit an "Extreme Ownership" mindset, capable of navigating ambiguous technical environments and driving projects to completion autonomously.
- Master Cloud Infrastructure and DevOps essentials (e.g., Docker, Kubernetes, AWS), enabling you to deploy and scale software in varied environments.
- Display elite communication skills, with the ability to translate complex technical concepts into strategic value for non-technical executive stakeholders.
We are committed to enabling everyone to feel included and valued, and we trust our partners to do the same. We believe both the company and its culture are strongest when composed of diverse experiences and backgrounds.
All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws.
If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best, please let us know so we can discuss how we can best support you and make any necessary adjustments.
In case of any doubts or questions, please contact - [email protected]
Skills Required
- Senior-level technical mastery in Python and modern software architecture with production-grade shipping experience
- Deep experience with LLMs and AI frameworks (e.g., LangChain, RAG architectures)
- Mastery of Cloud Infrastructure and DevOps (e.g., Docker, Kubernetes, AWS)
- Extreme Ownership mindset, able to work autonomously in ambiguous technical environments
- Elite communication skills to translate complex technical concepts for non-technical executive stakeholders
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The Company
What We Do
Fledge is the conscious company accelerator, focused on mission-driven for-profit startups addressing the most important problems of the world: poverty, hunger, unemployment, communities, and the environment.
