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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** Slalom, LLC - **Location:** Atlanta, GA, United States (Remote available) - **Experience:** Expert - **Salary:** $130,000.0 - $159,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Information Engineering, Python (Programming Language), Machine Learning, Natural Language Processing, Recommender Systems, Search Technologies, Workflow Management Systems, Google Cloud, Large Language Models, Snowflake, Prompt Engineering, Deep Learning, Data Management, Machine Learning Operations, Databricks - **Published:** August 14, 2026 - **Apply:** https://www.jofdav.com/jobs/59218816-ai-ml-engineer ## About the Role * 6+ years of experience implementing models or machine learning algorithms into production * 2-4 years of professional Managed or IT Professional consulting experience. * Strong consultative and communication skills, and the ability to convey complex technical concepts to diverse stakeholders. * Solid technical foundation, combined with constant curiosity to stay on the creative edge of ML/AI solutions. * Technical and conversational fluency in AI, GenAI, Machine Learning and at least one of the major clouds (AWS, GCP, Azure) * Hands-on experience building generative AI solutions using LLMs, embeddings, vector search, RAG, agents, prompt engineering, fine-tuning or model adaptation, or similar techniques. * Experience with AI validation, evaluation, observability, and production quality metrics such as accuracy, groundedness, safety, latency, cost, and drift. * Experience deploying ML/AI into production, and ability to talk through best practices and pitfalls. * Understanding of validation frameworks for AI and ML tools, with knowledge of the production-ready offerings on the market for AI validation. * Excellent python, especially for ML/AI use cases. * Data Science and/or Data Engineering background preferred. * Nice to have: + Experience in a sales support role, within Data Science, Machine Learning, or AI. + Familiarity with leading data platforms like Databricks and Snowflake, and their basic services. + Experience implementing MLOps best practices and ML workflow tools, and the ability to translate this experience to creative LLMOps solutions. ## Description As a modern technology company, our Slalom Technologists are disrupting the market and bringing to life the art of the possible for our clients. We have passion for building strategies, solutions, and creative products to help our clients solve their most complex and interesting business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. Slalom's Data AI capability focuses on next-level AI and Machine Learning solutions for clients. You'll join a diverse team of engineers, data scientists, and AI thought leaders. We work across modern AI platforms, develop novel AI solutions, and work with our technology partners to push their products into the future. What You'll Do * Design, build, and deploy generative AI and machine learning solutions that solve business problems and improve how people work * Develop LLM-powered applications using RAG, agents, prompt engineering, tool and function calling, workflow automation, and fine-tuning where appropriate. * Apply Machine Learning, Deep Learning, and other relevant technologies to assist in building AI tools that solve real business problems. * Assist in the design, development, presentation, and delivery of traditional ML solutions in areas such as Computer Vision, NLP, Recommendation Systems, etc. * Stay updated on fundamental AI/ML concepts and emerging trends to contribute to solution discussions and development. * Contribute to the growth of the AI/ML community within the organization through learning, mentoring, and sharing knowledge. ## Related Videos - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [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) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Got AI ideas but no money? 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