Senior AI Engineer (Generative AI / RAG / Agentic AI)

Benefits

• Competitive salary
• Opportunity for advancement
• Training & development

Role: Senior AI Engineer (Generative AI / RAG / Agentic AI)

Location: Washington, DC (Onsite 4 days/week)

About The AES Group

The AES Group is a technology staffing and services company delivering high-impact solutions across cloud, data, AI, and emerging technologies for enterprise environments.

What We Offer

• Competitive pay aligned to performance and outcomes
• Lead cutting-edge Generative AI initiatives at scale
• Career growth through advanced platforms and modern engineering practices
• Collaborative culture where your work is visible and valued

About the Role

We are seeking a Senior AI Engineer to architect and deliver secure, scalable, production-grade Generative AI solutions. You will design and implement RAG systems, agentic AI orchestration, and cloud-native ML infrastructure across Azure and AWS. This role blends hands-on engineering with technical leadership, including mentoring and setting reusable engineering standards.

Responsibilities

• Architect and deliver enterprise GenAI, RAG, and conversational AI solutions end-to-end
• Design scalable retrieval, prompting, and inference patterns across Azure and AWS
• Build ingestion, enrichment, vectorization, and feature pipelines using Databricks, ADF, and EMR
• Implement embedding quality checks, drift monitoring, and metadata governance
• Engineer secure multi-agent/tool-calling systems using modern agent frameworks and MCP controls
• Establish evaluation, safety guardrails, CI/CD, automated testing, and observability for AI workloads
• Apply secure AI engineering practices, including threat modeling and compliance-aligned controls
• Lead design reviews, code reviews, and mentor engineers; create reference architectures and playbooks

Qualifications

• Bachelors in CS/Engineering (Masters preferred)
• 8+ years of software engineering experience
• 2+ years building applied Generative AI solutions (RAG, agents, evaluation/safety) in production

Technical Stack (Required)

Azure: Azure OpenAI, Azure AI Search, Azure AI Agent Service, Azure ML, AKS, ADF, Databricks, Functions, API Mgmt, Key Vault, App Insights

AWS: SageMaker, Bedrock, Lambda, API Gateway, S3, CloudWatch, EMR, EKS, CodePipeline, Outposts

Vector/Indexing: Azure AI Search, Redis, FAISS, HNSW, IVF

Frameworks: Semantic Kernel, AutoGen, Microsoft Agent Framework, CrewAI, Agno, LangChain, MCP, Hugging Face

Languages: Python, C#, .NET, TypeScript

Inference/Deploy: Docker, vLLM, Triton, Ollama, quantized Llama (GGUF), GPU scheduling, multimodal pipelines

MLOps/Platform: MLflow, evaluation tooling, guardrails, Azure DevOps pipelines, Kubernetes, hybrid/multi-cloud

Certifications (Required)

AI-900, DP-900, Responsible AI Certification, AWS ML Specialty, TensorFlow Developer, CKA/CKAD, SAFe Agile Software Engineering

Certifications (Preferred)

AI-102, DP-100, AZ-305, AZ-204

Ready to make an impact? Apply now and join us on our journey!