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

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 Responsibilities

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

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

Ready to make an impact?

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