Remotery

Staff AI Engineer – L4

Posted Aug 4

This is a fully remote position, open to applicants in California, +5 more states.

📋 Description

• Collaborate with stakeholders to transform intricate customer challenges into effective technical designs and AI strategies.

• Design, build, and implement scalable, dependable, and secure AI/ML platforms and tools.

• Oversee the development, assessment, fine-tuning, and monitoring of production-grade AI/ML models, including LLMs and RAG architectures.

• Create and standardize GitHub Actions CI/CD pipelines alongside Terraform Infrastructure as Code.

• Supervise system health, lead critical AI-system incident responses, and drive architectural improvements.

• Guide L1/L2 engineers and perform code reviews.

• Assess emerging AI technologies and vendors while prototyping innovative approaches.

• Establish technical standards and collaborate with product leadership to convert business objectives into production-ready AI solutions.


⛳️ Requirements

• Over 8 years of experience as an AI/ML Engineer, Data Scientist, or Software Engineer with a focus on production ML systems.

• Bachelor's degree in Computer Science, Software Engineering, or a related discipline.

• Demonstrated experience in advancing AI solutions from concept to large-scale production using Java, C#, GoLang, or Python.

• Extensive experience with Generative AI, prompting strategies, RAG, fine-tuning, and agentic workflows.

• Strong capability to design distributed systems and microservices architectures for model serving.

• Ability to facilitate technical discussions with non-technical stakeholders and achieve consensus.

• Expert-level proficiency in Python or other core languages such as Java, Go, or C#.

• In-depth knowledge of PyTorch, TensorFlow, Scikit-learn, LangChain, LlamaIndex, and vLLM.

• Advanced understanding of MLOps principles, feature stores, and model monitoring.

• Strong foundation in probability, statistics, and linear algebra.

• Extensive hands-on experience with Kubernetes and cloud platforms, preferably AWS.

• Solid grasp of CI/CD methodologies and Terraform Infrastructure as Code.

• Proficiency in data engineering skills with SQL, NoSQL, data lakes, and processing pipelines.

• Experience in the financial or fintech sectors is an advantage.


🏝️ Benefits

• Eligibility for quarterly or annual bonuses for non-sales positions.

• Health insurance coverage.

• Dental insurance benefits.

• Vision insurance options.

• Retirement savings plan availability.

• Paid time off provisions.

• Health savings account options.

• Flexible spending accounts.

• Life insurance coverage.

• Disability insurance benefits.

• Tuition reimbursement opportunities.

• Reasonable accommodations for qualified individuals with disabilities.

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