About Eleven Recruiting

We are a specialized technology staffing agency supporting professional and financial services companies. Why do we stand out in technology staffing? We listen and act as advisors for our candidates on how they can best add value, find interesting projects, and pave a path for career advancement. We advocate for best pay, diversity in tech, and best job-fit for every candidate we place.

Our client, an investment firm, is seeking an AI Engineer to join their team in El Segundo, CA!

Responsibilities

Partner with cross-functional teams (engineering, data, operations, product, finance, risk, etc.) to identify high-value workflows suitable for agentic automation.
Clarify goals, constraints, SLAs, and success metrics before implementation.
Decompose complex problems into well-scoped, executable tasks.
Define agent roles (e.g., planner, implementer, reviewer, analyst, operations).
Author clear prompts, specifications, acceptance criteria, and guardrails.
Design agentic workflows as production systems, not one-off scripts.
Incorporate observability, failure handling, validation, and iteration from the outset.
Anticipate edge cases, feedback loops, and operational risks.
Review and harden AI-generated outputs for correctness, performance, and safety.
Integrate agentic solutions into existing services, pipelines, and infrastructure.
Ensure solutions meet reliability, security, and compliance standards.

Qualifications

Bachelors degree is required.
Strong computer science fundamentals, including: data structures and algorithms, distributed systems basics, concurrency, networking, and database fundamentals.
5–7+ years of professional software engineering experience building and operating production backend or data-intensive systems.
2+ years of hands-on experience working with LLMs or AI tooling in real-world contexts, such as:
Using AI tools to design, write, refactor, and review production code.
Building systems that programmatically interact with LLM APIs (e.g., tool/function calling, retrieval-augmented generation, code or data workflows).
Proficiency in at least one modern programming language (e.g., Python, TypeScript/Node.js, Go).
Experience with modern cloud and development environments (cloud platforms, containers, CI/CD, monitoring).

Demonstrated Ability To

Break down ambiguous problems into clear, agent-executable tasks.
Write precise specifications, prompts, and acceptance criteria.
Critically evaluate and improve AI-generated outputs for reliability, safety, and performance.

Successful Candidates Approach This Role With The Mindset Of

A systems engineer, modeling interactions and failure modes across services and data.
A product-oriented problem solver, translating ambiguous needs into executable specifications.
A technical leader, setting standards, enforcing quality, and guiding both human and AI contributors.

Pay Rate: $90 - $130/hr

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