ML Engineer, LLM Agents & Production Systems

Kiefer

Ohio

On-site

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Autonomy and engineering-first culture
Hands-on AI product impact

Job summary

KIEFER is seeking an ML Engineer to advance agent and long-context LLM capabilities behind Kiefer Tech’s AI products. You will work hands-on across post-training, data, evaluation, agent design, and inference, with the goal of making multi-step tasks more reliable in production.

Join a fast-moving, AI-native environment with room to shape models, tooling, and deployments while maintaining high autonomy and rigorous regression checks.

Qualifications

  • 3+ years of ML or research engineering with demonstrable results.
  • LLM post-training experience in supervised fine-tuning, RL, or similar.
  • Experience building agent systems with tool use and multi-step execution.
  • Strong model/agent evaluation and data curation skills.
  • Proficient Python and ML frameworks; solid software engineering.
  • Experience with LLM inference performance and cost.

Responsibilities

  • Run post-training experiments across methods (SFT, RLHF, etc.).
  • Improve agent planning, tool use, execution, and error recovery.
  • Build benchmarks, verifiers, and diagnostic tools.
  • Generate and curate training data including trajectories.
  • Evaluate long-context behavior and memory retrieval.
  • Collaborate to production with regression checks.

Skills

ML experience
LLM post-training
Agent systems
Python
ML frameworks

Tools

PyTorch
JAX
TensorFlow
Python tooling

Job description

KIEFER is seeking an ML Engineer to advance agent and long-context LLM capabilities behind Kiefer Tech’s AI products. You will work hands-on across post-training, data, evaluation, agent design, and inference, with the goal of making multi-step tasks more reliable in production.

Join a fast-moving, AI-native environment with room to shape models, tooling, and deployments while maintaining high autonomy and rigorous regression checks.

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