Agentic AI Engineer (Python)

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

AI Engineer
Python
LLM

Job Details

Position: Agentic AI Engineer (Python)
Location: Atlanta, GA Onsite
Duration: Long Term

Note: Need strong exp with Python

Job Description:
We are seeking an experienced Agentic AI Engineer to design and implement intelligent systems leveraging autonomous agents, LLMs, and advanced Python frameworks. The ideal candidate will have hands-on experience developing agentic AI solutions that can plan, reason, and act using multi-agent orchestration and modern AI toolkits.

Key Responsibilities:

  • Design and build agentic AI frameworks and intelligent workflows using LLMs.
  • Develop and integrate Python-based AI applications with internal systems and APIs.
  • Utilize tools such as LangChain, CrewAI, AutoGen, or OpenDevin for agent orchestration.
  • Build AI pipelines that can autonomously perform reasoning, decision-making, and task execution.
  • Collaborate with cross-functional teams to align AI initiatives with business goals.
  • Optimize AI agents for scalability, performance, and accuracy in production environments.
  • Stay current with advancements in LLMs, agentic AI, and generative AI ecosystems.


Required Skills & Experience:

  • Strong programming skills in Python and familiarity with AI/ML frameworks.
  • Proven experience developing LLM-driven or multi-agent AI systems.
  • Hands-on experience with LangChain, AutoGen, CrewAI, or related frameworks.
  • Knowledge of OpenAI, Anthropic, or AWS Bedrock APIs.
  • Experience with prompt engineering, retrieval-augmented generation (RAG), and vector databases (e.g., FAISS, Pinecone, Chroma).
  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork abilities.


Nice to Have:

  • Experience in healthcare or insurance domain.
  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform) for deploying AI models.
  • Exposure to MLOps or AI agent lifecycle management.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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