Senior Software Engineer ML

Janea Systems

Completely RemoteContractInformation Technology
Posted Today

Job description

About the Company

Janea Systems is a dynamic team of software engineering specialists and solutions innovators. From kernel to cloud, they provide high-impact software development services to Fortune 500 companies.

Responsibilities

  • Take ML or LLM proof-of-concepts to production with enterprise-grade reliability and cost characteristics
  • Design and harden data and training pipelines for enterprise ML systems
  • Perform ML platform and MLOps work including deployment, versioning, monitoring, and CI/CD
  • Build LLM and RAG systems focusing on retrieval quality, evaluation, and cost control
  • Conduct technical audits and advisory work on existing ML stacks

Requirements

  • 6+ years of software engineering experience
  • 3+ years of experience shipping ML systems into production
  • Strong Python skills at production code quality
  • Deep expertise in at least one area: LLM/agent systems, ML platform/MLOps, or ML data/pipeline engineering
  • Proficiency with PyTorch or TensorFlow
  • Experience with Containers and Kubernetes in AWS, Azure, or GCP
  • Experience with workflow orchestration (Airflow, Kubeflow, Argo, Dagster, or Prefect)
  • Ability to apply testing, benchmarking, and monitoring to ML systems
  • Client-facing English communication skills
  • Ability to work as an independent contractor with your own legal entity

Preferred Qualifications

  • Experience with agent frameworks like LangChain, LangGraph, or LlamaIndex
  • Experience with production RAG systems
  • NLP background
  • Experience with ML observability tools like Datadog, Langfuse, or Weights & Biases
  • Cloud certifications
  • Experience leading small teams or owning ML workstreams end-to-end
  • Open-source contributions or technical publications

Skills & tools

PythonPyTorchMLOpsKubernetesLLM

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 016+ years software engineering experience
  2. 023+ years shipping ML systems to production
  3. 03Strong Python
  4. 04PyTorch or TensorFlow
  5. 05Containers and Kubernetes
  6. 06Workflow orchestration
  7. 07English fluency
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