We are seeking an experienced LLM Engineer to help shape the future of autonomous, agent-based AI systems. This role focuses on training and enhancing Large Language Models (LLMs) to operate as intelligent, multi-step agents capable of designing, coordinating, and optimizing complex real-world workflows. Key requirements include 2+ years of experience in backend engineering, AI/LLM development, AI automation, or complex systems integration.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Job Title: LLM Engineer
Location: Remote - Washington, District of Columbia, United States
Type: Full Time
Our Client is seeking an experienced LLM Engineer to help shape the future of autonomous, agent‑based AI systems. This role focuses on training and enhancing Large Language Models (LLMs) to operate as intelligent, multi‑step agents capable of designing, coordinating, and optimizing complex real‑world workflows. This opportunity is ideal for engineers who are passionate about AI systems, backend development, and advanced reasoning models, and who want to directly contribute to cutting‑edge generative AI innovation.
What You’ll Do
- Train, evaluate, and refine LLM‑based agents to perform complex, multi‑stage reasoning and orchestration tasks.
- Build and assess production‑grade systems with modular architectures (e.g., data ingestion, logic processing, orchestration, and output layers).
- Analyze multi‑turn system interactions and agent behaviors to improve accuracy, consistency, and reliability.
- Identify edge cases, system gaps, and potential failure modes, and recommend improvements.
- Contribute to the integration of AI agents with live tools, databases, and external APIs for real‑world applications.
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What We’re Looking For
- 2+ years of experience in backend engineering, AI/LLM development, AI automation, or complex systems integration.
- Strong proficiency in at least two programming languages such as Python, JavaScript, Go, or Java.
- Experience working with SQL databases and live, production (non‑mocked) environments.
- Hands‑on experience managing stateful, multi‑turn interactions and agent workflows.
- Exceptional attention to detail with the ability to provide concise, high‑quality technical feedback on complex systems.
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Nice to Have
- Experience building multi‑stage orchestration workflows where data-driven insights lead to structured outputs.
- Hands‑on experience integrating AI agents with tools and APIs (e.g., databases, communication platforms, or external services).
- Familiarity with maintaining persistent state and session tracking for long‑running agent processes.
- Ability to identify subtle system risks such as privacy concerns, escalation issues, or prompt vulnerabilities.
Why This Opportunity?
- Fully remote with flexible work arrangements
- Opportunity to work on next‑generation AI and LLM systems
- Engage in challenging, high‑impact technical work
- Collaborate with experts at the forefront of AI innovation
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