Senior AI/ML Engineer

Velir

Senior AI/ML Engineer building production ML and LLM systems for Velir, a data and analytics consultancy. Leading RAG, MLOps, deployment, and cross-functional AI initiatives.

Posted 8/19/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $150,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying production-grade AI/ML systems, with a strong focus on LLM applications and MLOps practices. Proficient in translating business needs into scalable solutions while ensuring responsible AI practices and effective stakeholder collaboration.

Highest-signal resume keywords

Machine Learning EngineeringPython ProgrammingLLM Application DevelopmentMLOps PracticesCloud Platforms (AWS or Azure)

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Hard Skills

Machine LearningAI EngineeringProduction DeploymentData DesignTrainingEvaluationExperimentationPrompt DesignFine-TuningEvaluation Frameworks

Soft Skills

Technical MentorshipStrong CommunicationStakeholder Alignment

Tools & Technologies

PyTorchHuggingFaceAWS SageMakerAzure MLCI/CD Tools

Industry Keywords

AI/ML SystemsRAG-based SystemsEmbeddingsVector StoresResponsible AI Practices

Tech Stack

Tools & technologies

AWSAzureCloudPythonPyTorchSQL

About the role

Key responsibilities & impact

Design, build, and deploy production-grade AI/ML systems for client-facing and internal products
Translate business needs into scalable ML and LLM-based solutions
Lead scalable supervised, unsupervised, and LLM-based ML system design and implementation
Translate research and prototypes into production-ready systems
Identify high-impact AI/ML opportunities and define technical approaches with stakeholders
Provide technical mentorship and contribute to team upskilling
Build and operate LLM pipelines, including prompt design, fine-tuning, and evaluation
Develop RAG-based systems using embeddings, vector stores, and retrieval strategies
Design evaluation frameworks, feedback loops, and datasets to improve model performance
Create reusable tooling for experimentation, deployment, and monitoring
Own the end-to-end ML lifecycle, including data pipelines, training, deployment, monitoring, and iteration
Establish practices for reproducibility, observability, CI/CD, and model versioning
Partner with platform/DevOps teams to ensure reliability and scalability
Promote responsible AI practices, including governance, fairness, and transparency
Lead cross-functional initiatives across data engineering, analytics, and AI/ML
Explain complex ML concepts to technical and non-technical audiences
Collaborate with clients and internal teams to plan and deliver AI/ML solutions
Contribute documentation, frameworks, and shared best practices
Scope and lead complex AI/ML initiatives aligned with business outcomes
Align stakeholders, drive execution, establish success metrics, and ensure delivery of high-impact solutions

Requirements

What you’ll need

5–7 years of experience in ML engineering, AI engineering, or related fields, with production deployment experience
Strong programming skills in Python and SQL
Experience with PyTorch and HuggingFace
Experience building LLM applications, including RAG, embeddings, and vector search
Experience with cloud platforms (AWS or Azure; e.g., SageMaker, Bedrock, Azure ML)
Strong understanding of ML fundamentals: data design, training, evaluation, and experimentation
Familiarity with LLM alignment techniques (e.g., SFT, DPO, RL)
Experience with MLOps practices: CI/CD, monitoring, retraining, and experiment tracking
Proficiency working with complex, multi-source datasets and defining evaluation strategies
Strong software engineering fundamentals, including testing, modularity, and code review
Experience mentoring engineers and influencing technical direction
Strong communication skills with technical and non-technical stakeholders
Frequent sitting at a desk performing work on a computer
Velir does not sponsor candidates and cannot accept those on OPT or CPT

Benefits

Comp & perks

Competitive pay
Excellent benefits
Equal opportunity employer committed to diversity, equity, and inclusion