Tekion05.03.26
AI SCORE 8.5

Senior Software Engineer - Machine Learning Platform

$140K–$180K/year

About the Role

We're hiring a Senior Software Engineer - Machine Learning Platform to join our innovative team at Tekion. This role is pivotal in powering Tekion’s AI-native, end-to-end automotive platform, transforming dealership data into real-time intelligence. As a Senior Software Engineer, you'll operationalize a graph-based contextual ecosystem, enabling personalized experiences that drive measurable dealer outcomes.

What You'll Do

  • Build and run the LLM control plane/gateway, ensuring smart routing and token/cost tracking.
  • Ship a unified API and SDKs (REST/gRPC) with normalized schemas and full observability.
  • Enforce safety and privacy by default, implementing content filtering and PII redaction.
  • Enable multi-model, multi-vendor use of LLMs with automated canarying and versioning.
  • Design orchestration patterns and manage agent state and long-running workflows.
  • Support classical ML models and build reliable data ingestion pipelines.
  • Provide real-time context to agents with access controls and lineage.
  • Run continuous evaluations for quality, factuality, bias, and safety.

Requirements

  • 5-7 years of experience in building large-scale data/ML or platform systems.
  • Strong software engineering fundamentals, particularly in Python and one of Java/Scala/Go.
  • Experience with MLOps at scale, including pipelines and CI/CD for models.
  • Familiarity with cloud platforms, preferably AWS, and container technologies like Docker/Kubernetes.
  • Practical ML knowledge, including feature engineering and model evaluation.
  • Experience building or operating an LLM gateway/control plane.
  • Knowledge of graph and retrieval technologies, such as Neo4j and vector search.

Nice to Have

  • Experience with hybrid retrieval patterns and knowledge graphs.
  • Passion for AI and enabling real-world LLM use cases.
  • Strong documentation and teaching skills.

What We Offer

  • Competitive salary range of $140K - $180K.
  • Remote work flexibility with a focus on work-life balance.
  • Opportunities for professional development and mentorship.
  • Inclusive company culture that values diversity and equal opportunity.
  • Access to cutting-edge technology and resources.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Software Engineer role at Tekion offers a unique opportunity to work on a cutting-edge machine learning platform in the automotive industry, with a competitive salary and remote work options.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in Python and Java, with a solid understanding of MLOps practices to ensure seamless deployment and monitoring of machine learning models in a cloud environment.

Strong experience with containerization technologies like Docker and orchestration tools such as Kubernetes, demonstrating the ability to manage scalable applications in a remote work setting.

A proactive mindset with at least 5 years of experience in software engineering, particularly in developing machine learning platforms, showcasing a commitment to continuous learning and adaptation to new technologies.

Learning Resources

Python for Data Science Handbookguide

Career Path

Senior Software Engineer - Machine Learning Platform(Now)Lead Machine Learning Engineer(1-2 years)Director of Machine Learning Operations(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
22.5%
AI Adoption
75%
Investment
+150%
Labour Demand
+30%
Avg Salary
$150K

Skills & Requirements

Required
PythonJavaScala
Growing in Demand
TensorFlowPyTorchData Engineering
Declining
MapReducePerl

Domain Trends

Increased Adoption of MLOps
Organizations are increasingly adopting MLOps practices, with 60% of companies implementing these practices to streamline ML model deployment.
Rise of Serverless Architectures
The use of serverless architectures is growing, with a 40% increase in projects leveraging AWS Lambda and similar services for machine learning workloads.
Focus on Ethical AI
Over 50% of companies are prioritizing ethical AI practices, reflecting a shift towards responsible AI development and deployment.

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