Software Engineer, Machine Learning Engineer (Agentic AI)

FuriosaAI
Seoul
Full timeFunction: Software EngineeringEducation: bachelorsSkills: ["Autonomy","Intellectual curiosity","Rapid learning"]

Develop autonomous agent systems that can plan, use tools, store memory, reason, and self-improve through iterative execution and evaluation. Build multi-agent workflows to explore solution spaces, create evaluation systems using LLM-as-a-judge and task-specific metrics, and implement LLM post-training approaches such as SFT and RL. Apply agentic AI research to real engineering workflows, turning prototypes into production-quality systems.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
FuriosaAI
FuriosaAI
2 weeks ago

Software Engineer, Machine Learning Engineer (Agentic AI)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 50 minutes agoStatus: Live

Job Summary

Develop autonomous agent systems that can plan, use tools, store memory, reason, and self-improve through iterative execution and evaluation. Build multi-agent workflows to explore solution spaces, create evaluation systems using LLM-as-a-judge and task-specific metrics, and implement LLM post-training approaches such as SFT and RL. Apply agentic AI research to real engineering workflows, turning prototypes into production-quality systems.
Location: Seoul
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Research and implement agent behavior including planning, tool use, memory, reasoning, and self-evolving mechanisms.
  • •Design multi-agent workflows and orchestration so multiple agents can collaborate to explore the solution space.
  • •Develop evaluation systems to automatically execute, verify, and assess agent outputs, enabling iterative system improvement.
  • •Use LLM-as-a-judge, task-specific metrics, and benchmarks to evaluate and optimize agents.
  • •Experiment with and apply post-training methods such as SFT and RL, implementing research into production-quality system behavior.

Key Requirements

  • •Bachelor’s degree in Computer Science or a related field.
  • •Experience training or experimenting with one or more ML frameworks (PyTorch, JAX, TensorFlow).
  • •Hands-on experience implementing or experimenting with LLM or agentic AI systems.
  • •Ability to quickly understand papers or recent research and translate them into real implementations.
  • •Experience is expected in building systems that evaluate and improve agent behavior through execution and feedback.
Education:Bachelor's
Skills:AutonomyIntellectual curiosityRapid learning
Languages:English
Tech Stack:PyTorchJAXTensorFlowLLMAgentic AISFTRLLangGraphAutoGenGoogle ADKDistributed trainingInference optimizationTensor Contraction LanguageVirtual ISABenchmark designLLM-as-a-judgeAutomated evaluationMulti-agent orchestrationTool useMemory

Company Brief

FuriosaAI
Designs and develops data‑center AI inference accelerators (RNGD) and a full stack hardware‑software platform to deliver energy‑efficient, high‑performance AI compute for enterprise and cloud customers.
Industry: Hardware Devices
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: USD 500M to 1B
Funding: Series C
Headquarters: Seoul, South Korea
Founded: 2017
Glassdoor
Glassdoor: 4.6
WebsiteLinkedInGlassdoor