Senior Applied AI-Machine Learning Engineer

Key Responsibilities: Design, build, and deploy scalable AI/ML tools for generative AI use cases Develop end-to-end ML pipelines, including LLM tool integration, data ingestion, feature engineering, model training, evaluation, and monitoring Implement production-grade inference systems and integrate ML models into applications, APIs, and microservices Lead experimentation, define hypotheses, run evaluations, assess model performance, and identify improvement strategies Work closely with engineering teams to build robust, secure, and maintainable AI-enabled architectures Provide periodic instruction and prompt fine‑tuning to resolve newly discovered hallucination vectors, user‑reported biases, or changes in operational terminology. Partner with domain SMEs to translate real‑world constraints into effective features, labels, and model requirements Evaluate emerging AI technologies, frameworks, and foundation models and recommend their use in mission‑relevant applications Mentor junior engineers and contribute to internal standards, coding practices, and reusable components Ensure responsible AI practices, bias evaluation, data governance, model explainability, and ethical use of automated systems Prepare demos, prototypes, and proof‑of‑concept integrations that clearly illustrate feasibility and value

Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Engineering, or related field 3+ years of experience in applied AI/ML engineering, including production deployments Experience with LLMs, fine‑tuning, retrieval‑augmented generation (RAG), prompt engineering, or custom model training Experience with vector databases, high‑dimensional embeddings, and semantic search Experience applying LoRA adapters for efficient fine – tuning of foundation models, including training, evaluation, and integration into production pipelines Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit‑learn, Hugging Face, LangChain, or similar Experience building and operating AI/ML systems in air‑gapped environments Deep understanding of model development: supervised/unsupervised learning, neural networks, transformers, time‑series, embeddings Familiarity with modern AI/ML ops tooling: MLflow, SageMaker, Vertex AI, Databricks, or equivalent Strong understanding of API design, microservices, containers, and CI/CD for ML Ability to connect technical solutions to business value and communicate effectively with executives and non‑technical stakeholders Preferred QualificationsExperience with Azure AI Foundry environments Exposure to reinforcement learning or agentic systems Experience building real‑time or low‑latency ML inference systems Experience in mission‑driven, regulated, or national security‑oriented environments (if applicable) Strong UI/UX or front‑end awareness for integrated model experiences (optional)

What We’re Looking For: A senior engineer who is: Curious and experimental, but also practical and grounded Capable of taking a loosely defined problem and creating a working solution Comfortable presenting concepts, demoing prototypes, and explaining tradeoffs Passionate about building AI systems that deliver measurable, real‑world impact Want to hear more? Read on to see what our Team Members say about their experience: “From day 1, I knew Atlas Tech was where I wanted to be. Atlas’ culture embraces creativeness, community involvement, and taking care of their employees. If you’re looking for a great place to work, come join us!” - Blane “I could not have asked for a better company to transition from Active‑Duty military to civilian life. Atlas not only provides opportunities for professional growth, but it’s also highly encouraged. The passion and appreciation for what we do that is displayed every day, makes it exciting for me to come to work each day.” - Laurence Atlas Tech is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, genetic information, or protected veteran status. We are committed to fostering an inclusive workplace where diverse perspectives are valued and respected. Accessibility & Accommodations Atlas Tech strives to make our website, www.atlas-tech.com, accessible to all users. If you need assistance completing the application process or require a reasonable accommodation due to a disability, please contact us at hr.recruiter@atlas-tech.com. This contact information is designated for accommodation requests only and cannot be used to inquire about the status of an application. Atlas Tech is committed to providing reasonable accommodations in accordance with the Americans with Disabilities Act (ADA). Atlas Tech offers a competitive salary, generous benefits package, and an opportunity to make a positive impact in your own community.