Senior AI/ML Engineer: Build & Deploy Production AI

atlas-tech; Iowa (LA); On-site; USD 150,000 - 210,000; Full time

Job summary

atlas-tech seeks a Senior Applied AI/ML Engineer to design, build, and deploy AI/ML solutions that solve critical mission, operational, and business problems. You will work across product, engineering, and domain teams to deliver measurable value.

You will lead solution architectures, choose models and frameworks, and run experiments, translating complex concepts into usable capabilities for end users. The ideal candidate blends research, prototyping, and applied engineering.

Qualifications

• Bachelor’s or Master’s degree in CS/ML/Data Science 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

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 prompt tuning and guidance to mitigate hallucinations, biases, and terminology changes.
• Partner with domain SMEs to translate real-world constraints into features, labels, and model requirements.
• Evaluate emerging AI technologies and recommend for mission-relevant applications.
• Mentor junior engineers and contribute to internal standards and reusable components.
• Ensure responsible AI practices, data governance, explainability, and ethical use of automated systems.
• Prepare demos, prototypes, and PoCs to illustrate feasibility and value.

Skills

Python

LLMs

Prompt engineering

Model training

Distributed systems

ML concepts

Communication with execs

Experimentation

Air-gapped environments

Education

Bachelor’s or Master’s degree in CS/ML/Data Science/Engineering

Tools

TensorFlow

PyTorch

scikit-learn

Hugging Face

LangChain

MLflow

SageMaker

Vertex AI

Databricks

Job description

atlas-tech seeks a Senior Applied AI/ML Engineer to design, build, and deploy AI/ML solutions that solve critical mission, operational, and business problems. You will work across product, engineering, and domain teams to deliver measurable value.

You will lead solution architectures, choose models and frameworks, and run experiments, translating complex concepts into usable capabilities for end users. The ideal candidate blends research, prototyping, and applied engineering.