Senior Software Engineer – ML, Contractor

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Janea Systems

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏢 Enterprise

Enterprise • Software Development

Janea Systems is a company that specializes in solving complex software engineering challenges for enterprises. Trusted by industry leaders, they have fostered long-term partnerships with global innovators like Microsoft, ARM, and Merck. With a team composed of the top 1% of engineers worldwide, Janea Systems delivers mission-critical software projects that impact millions of developers and billions of consumers daily. Their expertise spans from 'kernel to cloud,' offering solutions that optimize and build technologies used by Fortune 500 companies. With over two decades of experience, Janea Systems stands out as a leader in providing high-impact software development services, staying at the forefront of industry advancements through a culture of collaboration, adaptability, and continuous learning.

📋 Description

• Take ML or LLM proofs of concept to production with enterprise 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, evaluation, and model CI/CD • Build LLM and RAG systems, including retrieval quality, evaluation, and cost control • Fill deep technical gaps in client engineering teams for defined periods • Conduct short technical audits and advisory work on existing ML stacks • Work as part of a Janea team on client projects in a client-facing capacity

🎯 Requirements

• 6+ years of software engineering experience, including 3+ years shipping ML systems into production • Strong Python skills at production code quality • Deep expertise in at least one of LLM and agent systems, ML platform and MLOps, or ML data and pipeline engineering; working competence in the other two • PyTorch or TensorFlow experience and the surrounding production stack • Containers and Kubernetes in at least one major cloud: AWS, Azure, or GCP • Experience with workflow orchestration tools such as Airflow, Kubeflow, Argo, Dagster, or Prefect • Testing, benchmarking, CI/CD, and monitoring practices applied to ML systems • Ability to turn ambiguous business problems into technical plans without close supervision • Client-facing English and ability to explain technical trade-offs to non-ML-specialist stakeholders • Own equipment • Legal entity for invoicing • Typically 40 hours per week unless specified differently • Minimum four hours of daily overlap with US business hours for most engagements • Independent contractor basis, invoicing through own company or registered sole-trader entity

🏖️ Benefits

• Substantive work on Fortune 500 engineering problems and core systems • Work alongside Janea’s senior engineers • Short chain of command and minimal process overhead • Rate, scope, and invoicing terms agreed in writing before starting • Repeat work and first look at the next relevant project for contractors who deliver • No unpaid work • Relevant projects presented before going to market