CBC

1 job near Columbus, OH

AI Agents Developer - Interns ( Part time )

Reston, VA ยท On-site

$20 - $26.25/hr

๐Ÿš€ Job Title: AI Agents Developer I Interns Only. ๐Ÿ“ Location: Reston (Onsite/Hybrid) About the Role: We are looking for a highly skilled AI Agents Developer Interns to design, develop, and ...

New

AI Agents Developer - Interns ( Part time )

CBC

Reston, VA โ€ข On-site

$20 - $26.25/hr

Other

Posted 3 days ago

New


Job description

๐Ÿš€ Job Title: AI Agents Developer I Interns Only.

๐Ÿ“ Location: Reston (Onsite/Hybrid)


About the Role:

We are looking for a highly skilled AI Agents Developer Interns to design, develop, and deploy intelligent agent-based systems that automate complex workflows and enhance business operations. You will work at the intersection of AI, automation, and software engineering to build scalable and efficient AI-driven solutions.


Key Responsibilities:

  • Design and develop AI agents using LLMs and agent frameworks
  • Build autonomous workflows integrating APIs, databases, and external tools
  • Develop and optimize prompt engineering strategies
  • Work with vector databases and retrieval-augmented generation (RAG) systems
  • Collaborate with cross-functional teams to deploy AI solutions into production
  • Monitor, evaluate, and improve AI agent performance
  • Ensure scalability, security, and reliability of AI systems


Required Qualifications:

  • Purusinging Bachelorโ€™s or Masterโ€™s degree in Computer Science, AI, or related field
  • Hands-on experience with LLMs (OpenAI, Anthropic, etc.)
  • Experience with agent frameworks (LangChain, AutoGen, CrewAI, etc.)
  • Strong programming skills in Python
  • Experience with REST APIs, microservices, and cloud platforms (AWS/Azure/GCP)
  • Familiarity with vector databases (Pinecone, FAISS, Weaviate, etc.)
  • Strong problem-solving and analytical skills

Preferred Qualifications:

  • Experience deploying AI solutions in production environments
  • Knowledge of NLP, ML pipelines, and model fine-tuning
  • Experience with Docker, Kubernetes, or CI/CD pipelines
  • Familiarity with data engineering workflows