Senior AI/ML Engineer — Build & Scale Real-World AI

Atlas Tech; Los Angeles (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Generous benefits package

Job summary

Atlas Tech seeks a Senior Applied AI/ML Engineer to design, build, and operationalize advanced AI/ML solutions that solve high-impact mission, operational, and business problems. You will lead solution architectures, select models, develop experiments, and translate complex concepts into working capabilities for end users.

The ideal candidate blends research, prototyping, and applied engineering, and will mentor junior engineers while ensuring robust, scalable AI-enabled architectures in

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.

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

Skills

Python

ML frameworks

LLMs

RAG

Prompt engineering

LoRA adapters

Vector databases

Embeddings

LangChain

CI/CD for ML

MLOps tools

Air-gapped deployment

Transformers

SageMaker

Vertex AI

Databricks

API design

Microservices

Education

Bachelor’s/Master’s in CS/ML

Tools

TensorFlow

PyTorch

scikit-learn

Hugging Face

Job description

Atlas Tech seeks a Senior Applied AI/ML Engineer to design, build, and operationalize advanced AI/ML solutions that solve high-impact mission, operational, and business problems. You will lead solution architectures, select models, develop experiments, and translate complex concepts into working capabilities for end users.

The ideal candidate blends research, prototyping, and applied engineering, and will mentor junior engineers while ensuring robust, scalable AI-enabled architectures in