

Intellectt Inc
Agentic AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "Agentic AI Engineer" in Atlanta, GA, with a long-term contract and competitive pay. Key skills include Python programming, experience with LLMs and multi-agent AI systems, and familiarity with frameworks like LangChain.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 29, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#ML (Machine Learning) #Databases #AI (Artificial Intelligence) #Python #Langchain #Scala #AWS (Amazon Web Services) #GCP (Google Cloud Platform) #Programming #Cloud #Azure
Role description
Position: Agentic AI Engineer (Python)
Location: Atlanta, GA – Onsite
Duration: Long Term
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 GCP) for deploying AI models.
• Exposure to MLOps or AI agent lifecycle management.
Position: Agentic AI Engineer (Python)
Location: Atlanta, GA – Onsite
Duration: Long Term
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 GCP) for deploying AI models.
• Exposure to MLOps or AI agent lifecycle management.






