What are the responsibilities and job description for the Artificial Intelligence & Cloud Engineer position at Vets Hired?
Job Summary
The Artificial Intelligence & Cloud Engineer designs, builds, secures, and scales AI-powered systems within cloud environments. The role combines artificial intelligence, machine learning, cloud engineering, software development, retrieval systems, multi-agent architectures, vector databases, and secure AI deployment. The engineer will develop production-grade AI applications and microservices while collaborating with data scientists, designers, and subject matter experts in an Agile environment.
Key Responsibilities- Architect and implement scalable multi-agent AI systems.
- Develop advanced routing and hierarchical multi-agent architectures.
- Build, optimize, and maintain production-grade Retrieval-Augmented Generation (RAG) pipelines.
- Develop semantic search and information retrieval systems.
- Design data preprocessing workflows, chunking strategies, and vector database infrastructure.
- Deploy, secure, monitor, and maintain AI applications and microservices in cloud environments.
- Integrate AI capabilities into user-facing products.
- Collaborate with data scientists, UI/UX designers, and subject matter experts.
- Establish security best practices for large language model implementations.
- Protect sensitive information through secure data handling and privacy controls.
- Implement AI model guardrails and other AI security measures.
- Develop robust RESTful APIs supporting AI and cloud applications.
- Support Linux-based development and cloud environments.
- Apply text analytics, prompt engineering, data normalization, and data-cleaning techniques.
- Support cybersecurity risk management and system hardening activities.
- Evaluate and adopt emerging AI technologies and engineering practices.
- Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
- 7 years of professional software engineering experience.
- At least 2 years of production experience in AI, ML, or NLP development.
- Experience building multi-agent systems using LangGraph, AutoGen, or equivalent frameworks.
- Strong understanding of RAG architecture, vector databases, embeddings, and information retrieval.
- Strong programming skills in Python or a similar programming language.
- Experience developing RESTful APIs.
- Hands-on experience deploying and managing AWS or OCI cloud services.
- Proficiency with Linux operating systems and command-line interfaces.
- Expertise in text analytics and prompt engineering.
- Experience with data normalization and cleaning.
- Active Secret security clearance.
- Current CompTIA Security certification or higher.
- Knowledge of AI security practices, model guardrails, and secure data handling.
- Experience working in Agile and cross-functional development environments.
- Strong problem-solving skills and ability to learn emerging AI technologies quickly.
- Experience with NAVSEA Cyber RMF processes and system security hardening.
- Familiarity with Rust, Go, or JavaScript.
- Industry-recognized cloud certifications, such as AWS Certified Machine Learning – Specialty or OCI AI credentials.
- Experience with open-source LLM evaluation and observability frameworks.