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

Bachelor’s in CS/Engineering (Master’s 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:
Sage Maker, Bedrock, Lambda, API Gateway, S3, Cloud Watch, EMR, EKS, Code Pipeline, Outposts
Vector/Indexing:
Azure AI Search, Redis, FAISS, HNSW, IVF
Frameworks:
Semantic Kernel, Auto Gen, Microsoft Agent Framework, CrewAI, Agno, Lang Chain, MCP, Hugging Face

Languages:

Python, C#, .NET, Type Script
Inference/Deploy:
Docker, vLLM, Triton, Ollama, quantized Llama (GGUF), GPU scheduling, multimodal pipelines
MLOps/Platform: MLflow, evaluation tooling, guardrails, Azure Dev Ops pipelines, Kubernetes, hybrid/multi-cloud

Certifications (Required)

AI-900, DP-900, Responsible AI Certification, AWS ML Specialty, Tensor Flow 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!