Federal AI Solutions Engineer (Entry Level)
A-TEK, Inc. is a company that operates at the intersection of mission and innovation, focusing on providing enhanced capabilities in application development and digital transformation for federal markets. They are seeking an early-career Federal AI Solutions Engineer to support the design, development, and deployment of AI and cloud solutions across AWS and Azure environments, collaborating with senior engineers to develop AI-enabled applications and cloud-native solutions.
Responsibilities
- Assist in the design, development, and deployment of AI-powered applications and prototypes using:
- Develop and test prompt engineering strategies, retrieval-augmented generation (RAG) workflows, and AI agent capabilities
- Support integration of AI solutions with APIs, enterprise systems, and cloud services
- Build and maintain cloud-based environments in AWS and Azure
- Assist with infrastructure deployment using Infrastructure-as-Code tools such as Terraform, AWS CDK, or Bicep
- Support containerized deployments using ECS, EKS, or AKS
- Participate in CI/CD implementation and cloud automation efforts
- Support senior engineers in troubleshooting cloud, AI, and data integration challenges
- Assist in developing reusable templates, accelerators, and reference architectures
- Participate in rapid prototyping efforts that demonstrate mission value for federal customers
- Collaborate with Cloud, Cybersecurity, Data Intelligence, and Agile Engineering teams
- Contribute to technical documentation, architecture diagrams, and knowledge-sharing initiatives
- Stay current with emerging AI, machine learning, and cloud technologies
- Support implementation of solutions that align with:
- NIST AI Risk Management Framework (AI RMF)
- FedRAMP requirements
- Zero Trust principles
- Secure coding and responsible AI practices
Skills
- Bachelor's degree in Computer Science with a concentration, specialization, minor, or significant coursework in Artificial Intelligence, Machine Learning, Data Science, or a closely related field
- 0–2 years of professional software engineering, AI/ML, or cloud development experience
- Demonstrated programming experience in Python through coursework, projects, internships, or employment
- Foundational understanding of machine learning, generative AI, and large language models
- Experience using cloud platforms (AWS or Azure) through coursework, internships, certifications, or projects
- Familiarity with REST APIs
- Familiarity with Git version control
- Familiarity with containerization concepts
- Familiarity with data pipelines and databases
- Understanding of prompt engineering, RAG concepts, or AI agents through academic or personal projects
- Strong analytical and problem-solving skills
- AWS Certified Cloud Practitioner or AWS Solutions Architect Associate
- Microsoft Azure Fundamentals (AZ-900) or Azure AI Fundamentals (AI-900)
- Academic or project experience with LangChain
- Academic or project experience with LlamaIndex
- Academic or project experience with Semantic Kernel
- Academic or project experience with CrewAI
- Exposure to vector databases such as Pinecone, Weaviate, FAISS, or Milvus
- Experience building AI, machine learning, or cloud-based capstone projects
- Familiarity with DevOps, MLOps, or CI/CD concepts
- Interest in federal government missions and emerging AI technologies
Benefits
- Medical, Dental, and Vision Insurance
- 401(k) with Employer Match
- Paid Time Off and Federal Holidays
- Professional Development and Certification Reimbursement
- Career Growth and Mentorship Opportunities
Company Overview