AI/MI Engineer - Tempe, AZ

AI/MI Engineer - Tempe, AZ Remote in Tempe, AZ, US • Posted 3 hours ago • Updated 31 minutes ago Contract W2 On-site $DOE TechniPros, LLC Fitment Dice Job Match Score™ ✨ Finding the perfect fit... Job Details Skills Python Pytorch TensorFlow scikit-learn LangChain Kubeflow CrewAI LangGraph Pinecone FAISS MLOps LoRa AutoGen MLflow Hugging Face DVC Vector Databases Milvus Chroma Retrieval-Augmented Generation (RAG) QLoRA PEFT Large Language Models (LLMs) AI Model Fine-Tuning Production AI Deployment Agentic AI Frameworks DSPy Prompt Engineering Multi-Agent Systems DoD Environment Experience Defense AI Security AI Assurance Secret Clearance Eligibility.

Summary 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:

Email:

Employers have access to artificial intelligence language tools ("AI") that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id:

10429554

Position Id:

2026-1339 Posted 3 hours ago Company Info About TechniPros, LLC TechniPros is a fast growing software consulting company offering mission critical consulting solutions to businesses through cutting-edge technologies since 2005. We help our clients successfully respond and capitalize on opportunities by providing professional services in the areas of systems integration and staff supplementation. We aim to deliver innovative and practical solutions, from concept through implementation and maintenance. To be a pioneer in technology services industry and to attain & sustain a primary place in attaining quality staffing services to support human capital management needs.