**AI Engineer – Level I
Location:** Washington, DC (Onsite)
Experience: 2+ years in software engineering with GenAI and cloud exposure
Why This Role?
Be part of a forward-looking AI team solving real-world challenges using cutting-edge GenAI frameworks. This role offers:
- Hands-on exposure to Retrieval-Augmented Generation (RAG) and agentic AI
- Development experience across Azure and AWS platforms
- Certification-supported career progression in cloud and AI technologies
- Immersive learning in Agile, cross-functional environments
- Direct involvement in delivering production-ready AI solutions
Role Overview
We are hiring an entry-level AI Engineer to help build scalable, secure AI systems. You will collaborate with senior engineers to develop Retrieval-Augmented Generation (RAG) workflows, agent orchestration layers, and modern data pipelines—all within secure, cloud-native environments.
Key ResponsibilitiesAI Solution Development
- Build and support RAG pipelines using Azure AI Search and vector databases (Redis, FAISS)
- Develop conversational AI features: chunking, embedding, re-ranking, citation formatting
- Integrate multi-modal models (Azure OpenAI, OSS LLMs) with prompt routing and lightweight guardrails
Infrastructure & Orchestration
- Deploy Model Context Protocol (MCP) servers, including RBAC, audit trails, and validation mechanisms
- Assist in agent orchestration using Azure AI Agent Service, including policy framework exposure
Data Engineering
- Contribute to scalable ETL/ELT pipelines for document ingestion, metadata tagging, and PII redaction
- Utilize Azure Data Factory and Databricks for orchestrated data workflows
MLOps & CI/CD
- Support model evaluations, offline testing, and performance logging
- Help implement CI/CD pipelines with built-in security scans and automation
Required Qualifications
- Education: Bachelor’s in Computer Science, Engineering, Data Science, or equivalent hands-on experience
- Experience: 2+ years in software engineering with exposure to GenAI concepts and cloud services
Certifications (Level I – Mandatory)
- Microsoft Certified: Azure AI Fundamentals (AI-900)
- Microsoft Certified: Azure Data Fundamentals (DP-900)
- Responsible AI certification or awareness training
- (Preferred) AWS Machine Learning Specialty
- (Bonus) TensorFlow Developer, Kubernetes CKA/CKAD
Technical Skills
- Proficient in Python and C# for backend development
- Working knowledge of RAG architectures, embeddings, and vector database integration
- Understanding of agent orchestration and prompt engineering patterns
- Exposure to LLM evaluation, safety testing, and fine-tuning techniques
- Agile development participation and effective collaboration within technical teams
Tools & Platforms
- Azure: Azure OpenAI, AI Search, AML, ADF, Functions, Key Vault, Databricks
- AWS: SageMaker, Bedrock, Lambda, API Gateway, S3, EMR
- Vector DBs: Redis, FAISS, Azure AI Search
- Frameworks: Semantic Kernel, AutoGen, LangChain (beginner level)
- Local Inference: Docker/Ollama for lightweight LLM deployments
Job Type: Contract
Pay: $60.00 - $65.00 per hour
Work Location: In person