AI/MI Engineer - Tempe, AZ

Job Title:

AI/ML Engineer Location:

Tempe, AZ Can do Only W2, No C2

C Job Summary:

Frontier Technology Inc. (FTI) is seeking a highly skilled and hands-on AI/ML Engineer to design, develop, and deploy advanced machine learning solutions supporting Department of Defense (DoD) and Intelligence Community (IC) missions. This role is ideal for engineers who enjoy building end-to-end AI pipelines, developing production-grade systems, and delivering operational impact through modern AI technologies.

Key Responsibilities :

Design, develop, and deploy AI/ML models and pipelines to meet mission and performance objectives. Build, train, fine-tune, and optimize machine learning models using PyTorch, TensorFlow, Scikit-learn, Hugging Face, and LangChain. Develop and operationalize MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent orchestration frameworks. Implement and optimize Vector Databases including: Milvus Pinecone Chroma FAISS Develop retrieval architectures utilizing: Retrieval-Augmented Generation (RAG) Graph-based retrieval Hybrid retrieval models Write efficient Python code for: Data ingestion Feature engineering Embeddings generation Inference services Fine-tune and optimize LLMs and task-specific models using: LoRA QLoRA PEFT Contribute to agent-based AI applications using: LangGraph AutoGen CrewAI DSPy Integrate AI capabilities into production systems using APIs, event-driven workflows, and UI copilots. Collaborate with data engineers, software developers, and mission analysts to ensure AI solutions are production-ready. Participate in peer reviews, maintain shared repositories, and document experiments and models for reproducibility.

Required Skills:

6 10+ years of professional experience developing and deploying AI/ML solutions in production environments. Minimum 3 years of experience within DoD/Defense AI assurance, security, and deployment environments. Strong programming expertise in Python.

Hands-on experience with:

PyTorch TensorFlow Scikit-learn Hugging Face LangChain Experience building and deploying MLOps pipelines using: MLflow Kubeflow DVC Equivalent orchestration frameworks Strong knowledge of

Vector Databases:

Milvus Pinecone Chroma FAISS Experience with retrieval architectures: RAG Hybrid retrieval Graph-based retrieval Hands-on experience fine-tuning and evaluating LLMs using: LoRA QLoRA PEFT Experience integrating AI capabilities into production applications and mission systems. Strong understanding of AI deployment and production environments.

Preferred Qualifications:

Familiarity with Agentic AI frameworks: LangGraph AutoGen CrewAI DSPy Experience with multi-agent reasoning systems.

Understanding of:

Prompt Engineering Retrieval Quality Grounding Techniques Exposure to: GPU-based inference environments Edge AI deployments Bachelor's or Master's degree in: Computer Science Engineering Data Science Related technical disciplines Active Secret Clearance preferred. Ability to obtain security clearance is required.

Soft Skills:

Strong analytical and problem-solving skills. Excellent written and verbal communication abilities. Ability to collaborate effectively with cross-functional teams. Strong documentation and knowledge-sharing practices. Ability to work in mission-critical and highly secure environments. Self-driven mindset with strong ownership and accountability. Ability to thrive in fast-paced engineering environments. Additional Notes Opportunity to support Department of Defense (DoD) and Intelligence Community (IC) initiatives. Focus on production-grade AI/ML systems and operational mission impact.

Exposure to cutting-edge technologies including:

LLMs RAG Architectures Vector Databases Agentic AI MLOps Multi-Agent Systems Engineers with security clearance backgrounds are highly preferred. Ability to obtain an Active Secret Clearance is mandatory.

Mandatory Skills:

Python PyTorch TensorFlow Scikit-learn Hugging Face LangChain MLOps MLflow Kubeflow DVC Vector Databases Milvus Pinecone Chroma FAISS Retrieval-Augmented Generation (RAG) LoRA QLoRA PEFT Large Language Models (LLMs)

AI Model Fine-Tuning Production AI Deployment Agentic AI Frameworks LangGraph AutoGen CrewAI DSPy Prompt Engineering Multi-Agent Systems DoD Environment Experience Defense AI Security AI Assurance Secret Clearance Eligibility Best Regards:

Tina Phone:

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