AI Engineer Level I

Benefits

• Competitive salary
• Opportunity for advancement
• Training & development

AI Engineer – Level I.

Location:

Washington, DC (Onsite).

Experience:

2+ years in software engineering with GenAI and cloud exposure

• 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

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.

• AI 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

• 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) Tensor Flow Developer, Kubernetes CKA/CKAD

• 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

• Azure:
  Azure OpenAI, AI Search, AML, ADF, Functions, Key Vault, Databricks
• AWS:
  Sage Maker, Bedrock, Lambda, API Gateway, S3, EMR
• Vector DBs:
  Redis, FAISS, Azure AI Search
• Frameworks:
  Semantic Kernel, Auto Gen, Lang Chain (beginner level)
• Local Inference:
  Docker/Ollama for lightweight LLM deployments

Apply now and accelerate your career in AI by contributing to secure, enterprise-grade solutions.