Junior AI Solutions Engineer (AI)

Location: Arlington, Virginia, USA; US citizenship required. No H1B or Green Card holders. The position requires obtaining a TS clearance.

Salary: $95,000–$135,000 per year

Company

hirify.global is an 8(a) government contractor providing digital transformation, data management and data science, and systems modernization expertise for federal civilian clients.

What you will do

• Design, develop, and deploy scalable AI/ML solutions, including LLM-powered applications, RAG architectures, and agent-based workflows.
• Build and maintain end-to-end ML pipelines covering data engineering, model development, deployment, monitoring, and retraining.
• Integrate foundation models, including Claude, GPT variants, and open-weight Hugging Face models, with AWS and Azure cloud-native services.
• Design secure, auditable, explainable AI systems with governance, traceability, and human-in-the-loop controls.
• Collaborate with cross-functional teams to prepare data, enable semantic retrieval, and optimize system accuracy, reliability, and scalability.
• Establish AI infrastructure with Docker, Kubernetes, and CI/CD pipelines; document solutions and provide knowledge transfer.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Exceptional new graduates with strong undergraduate research, hackathon wins, or elite internships may be considered.
• Strong Python programming skills and understanding of data structures, algorithms, API integration, and asynchronous programming.
• Project or professional experience with LLMs, prompt engineering, vector databases such as Pinecone, Milvus, or Qdrant, or agentic frameworks such as LangChain, LlamaIndex, or LangGraph.
• Familiarity with Kubernetes and containerization tools, including Docker.
• Must be a US citizen; H1B and Green Card holders are not eligible.
• Must be able to obtain a TS security clearance.

Nice to have

• Production-grade code shipping or open-source contributions in machine learning or systems engineering.
• Experience deploying open-weight models with vLLM, TGI, or Ollama and optimizing inference performance.
• Exposure to distributed data processing frameworks such as Apache Spark or PySpark.
• Ability to learn rapidly, resolve complex technical ambiguity, and work in a fast-paced government consulting environment.

Culture & Benefits

• Work focused on federal civilian mission-critical and compliance-sensitive environments.
• Work-life balance.
• Eligibility for performance-based cash bonuses and potential company-growth incentives.
• Health, dental, and vision insurance; generous PTO; life insurance; short- and long-term disability coverage; and an HSA.
• 401(k) with company match.