AI Engineer – Level I

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