Avathon
AI Engineer
Pleasanton, California, United States · Senior · Internship
Sponsorship not specified$110k-$130kDetected 7 days ago
PythonBackend DevelopmentVector DatabasesAWSGCPAzureCloud PlatformsCI/CDMachine LearningTensorFlowPyTorchData ScienceNLPComputer VisionLLMsRAGAgentic AIMLOpsA/B TestingForecastingSupply ChainLogisticsPerformance ManagementResearch
About the role
- Improve inference efficiency, latency optimization, cost management, and reliability of deployed AI systems
- Establish guardrails, hallucination detection, monitoring, and responsible AI practices for production deployments
Responsibilities
- Design, build, and deploy production-grade AI/ML systems with strong emphasis on Generative AI and LLM-powered applications
- Develop and optimize end-to-end LLM pipelines including RAG architectures, fine-tuning, prompt orchestration, evaluation, and observability
- Build scalable backend services and APIs for AI applications using modern engineering best practices
- Implement and productionize transformer-based models and GenAI workflows for enterprise use cases
- Drive experimentation, benchmarking, model evaluation, and performance optimization with scientific rigor
- Strong software engineering fundamentals including system design, debugging, performance optimization, and production reliability
- Evolving culture with the opportunity to drive new ideas and technology
Requirements
- Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.
- Familiarity with cloud platforms such as AWS, GCP, or Azure
- Experience with containerization, deployment pipelines, and collaborative engineering environments
- Strong analytical thinking, ownership mindset, and ability to work in ambiguous, fast-moving startup environments
- Strong communication skills and ability to work cross-functionally with technical and business stakeholder
Nice to have
- Exposure to Retrieval-Augmented Generation (RAG), vector databases, or embedding-based search systems
- Familiarity with LLM observability and evaluation tools (e.g., Langfuse, LangSmith, Arize Phoenix, Weights & Biases)
- Hands-on experience with practical LLM deployment -- prompt versioning, cost/latency tracking, guardrails, or hallucination detection
- Exposure to LLM evaluation frameworks (e.g., RAGAS, DeepEval) or LLM-as-judge evaluation patterns
- Basic understanding of MLOps practices and model lifecycle management
- Experience working on applied AI projects in academic, internship, or startup settings
- Interest in industrial AI and asset-intensive environments
- Industry exposure in one or more of the following domains: Mining, Oil & Gas, Aerospace, Supply Chain, Logistics, or Renewable Energy
Skills
- Contribute to MLOps workflows including CI/CD, model lifecycle management, observability, and cloud deployment
- Solid expertise with Python and modern AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar
- Strong understanding of transformer architectures, LLM fine-tuning, prompt engineering, RAG systems, and vector databases
Compensation
- Pay Range: $110k - $130k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
Benefits
- What are the benefits and perks at Avathon?
- Stock Option Grants
- Medical Coverage and Parental Leave Plans
- Contract and temporary roles are not eligible for the above benefits.
Company info
- At Avathon, we are building cutting-edge AI solutions that transform operations across asset-intensive industries such as Supply Chain, Logistics, Energy, Mining, Aerospace, and Industrial Manufacturing.
- Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!
- Who We Are & Why Join Us
- As part of the interview process, you will be asked to complete a technical assessment.
Equal opportunity
- Avathon is an Equal Opportunity Employer.
- Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.
- If you need a reasonable accommodation, please contact us to discuss how we can assist you.
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