Join Edra as a Forward Deployed AI Engineer to build LLM-powered systems for enterprise customers in a hands-on engineering role.
Posted by employer 3 months ago
First seen on Joblaze 2 months ago
Last verified on the company career page 5 hours ago
Role intensity
70% hands-on coding
AI in the day-to-day
Our system ingests knowledge bases, conversations, tickets, and system logs, then produces written instructions for AI agents.
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the Forward Deployed AI Engineer at Edra engages directly with enterprise clients to identify challenges and develop tailored AI solutions, overseeing the entire process from design to production. Candidates should have a strong background in building complex, production-level LLM systems and be comfortable navigating both technical and customer-facing aspects of projects. This position is ideal for experienced engineers who thrive in dynamic environments and are passionate about creating innovative AI-driven workflows. Edra, a Series A startup, emphasizes a collaborative culture among its highly skilled team.
Joblaze insights
Quick facts
From the original posting
We're building a learning system that teaches AI agents how enterprises actually work. Our system ingests knowledge bases, conversations, tickets, and system logs, then produces written instructions that agents can execute–with confidence scoring to know when to automate and when to seek human input.
We're looking for Forward Deployed AI Engineers who have built complex, production LLM-based systems, and want to work directly with our enterprise customers. Whether you've scaled LLM workflows handling millions of requests, built multi-agent systems in production, or designed evaluation frameworks for enterprise deployments, we want people who bring intensity and self-direction to their craft.
You’ll own the full technical journey: understanding how an operation works, identifying the right problem, designing and building the solution, shipping it to production, driving adoption, and expanding its impact. This is an engineering role: you’ll write production code, make architectural decisions, build agentic systems, and take responsibility for the outcome.
Work directly with enterprise customers to identify new problems, prototype solutions, and ship them to production
Own customer engagements from discovery and solution design through production, adoption, and expansion.
Design and implement LLM-powered systems and agentic workflows from concept to production
Use and extend our core context-learning library to solve customer problems, contributing reusable capabilities and lessons back into the platform.
Build agentic features for knowledge management–think agents that can edit, update, and maintain large knowledge bases autonomously
Build reliability and confidence systems–evaluation frameworks, confidence scoring, and logic for when to automate vs. when to escalate to a human
Architect async, scalable systems that handle complex AI orchestration
You've built complex, production LLM-based systems with real depth–something with multiple layers of engineering decisions you can walk through in detail
You've shipped something meaningful to production and can explain how it evolved
You're excited by open-ended problems where the solution might not exist yet
You have experience with (or strong interest in) how systems learn and improve over time: human-in-the-loop feedback, prompt optimization and context engineering
You have experience building agents and autonomous systems
You can navigate between research papers and production code with equal comfort
You bring customer empathy and commercial judgment, and remain effective when requirements, data, or expectations are unclear.
You're a strong communicator who can clearly explain your work to teammates and customers
You have 3+ years of professional experience
Don’t meet all of the above traits? We’d still love to hear from you. We’re looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets.
Competitive base salary & meaningful equity
Top tier health, dental, & vision plans:
Top plans with 100% premium coverage in the US (and a One Medical membership)
Flexible paid time off
A stipend to set up your workspace
Standard company text repeated across Edra's postings is omitted here.
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