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AI Agents Developer - Interns ( Part time )
Career Insights for Software Developer / Engineer
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Based on Virginia data
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What they do
A Software Developer or Engineer designs or improves computer software. Oversees the entire software development process. Analyzes customer or user needs, designs programs, writes code or instructs computer programmers, tests design, and documents programs. May assist with upgrades or maintenance. May specialize in the design of computer applications or computer systems.
$121,749 / year median in Virginia
-5% projected decline
Job Description
AI Agents Developer - Interns ( Part time ) at CBC AI Agents Developer - Interns ( Part time ) at CBC in Sterling, Virginia Posted in about 6 hours ago.
Type:
part-time ????
Job Title:
AI Agents Developer I Interns Only. ????
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 Bachelor's or Master'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