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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI/ML Engineer - **Company:** Velir Inc - **Location:** Austin, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $175,000.0 - $190,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Code Review, Computer Programming, Continuous Integration, Data Architecture, Information Engineering, DevOps, Python (Programming Language), Machine Learning, Standard Sql, Azure Machine Learning, Search Technologies, Software Deployment, SQL Databases, Pytorch, Large Language Models, Snowflake, Prompt Engineering, HuggingFace, Machine Learning Operations, Software Version Control, Data Pipelines, Unsupervised Learning, Databricks - **Published:** June 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e446599f1b1f5c54 ## About the Role Do you have experience in Unsupervised learning?, * 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 (testing, modularity, code review) * Experience mentoring engineers and influencing technical direction * Strong communication skills with both technical and non-technical stakeholders Tech Stack * Languages: Python, SQL * Frameworks: PyTorch, HuggingFace * Platforms: AWS, Azure, Snowflake, Databricks ## Description Senior AI/ML Engineers are senior individual contributors who design, build, and deploy production-grade AI/ML systems for both client-facing and internal products. They partner with leadership and cross-functional teams to translate business needs into scalable ML and LLM-based solutions., AI/ML System Design & Leadership * Lead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutions * Translate research and prototypes into production-ready systems * Partner with stakeholders to identify high-impact AI/ML opportunities and define optimal technical approaches * Provide technical mentorship and contribute to team upskilling LLM & Production AI Systems * 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 continuously improve model performance * Create reusable tooling to accelerate experimentation, deployment, and monitoring MLOps & Deployment * Own end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and iteration * Establish best 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 Cross-Functional Collaboration * Lead cross-functional initiatives across data engineering, analytics, and AI/ML * Translate complex ML concepts into clear recommendations for 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 Project Execution * Scope and lead complex AI/ML initiatives aligned to business outcomes * Align stakeholders and drive execution across teams * Establish clear success metrics and ensure delivery of high-impact solutions ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)