Technology Ventures

Artificial Intelligence Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer on a 6-month contract with a pay rate of $141,750 - $165,000. It requires 4–5 years of AWS experience, proficiency in Python, and expertise in AWS Bedrock and Agentic AI frameworks. Remote work only.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
750
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🗓️ - Date
October 4, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Bethesda, MD
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Automation #Snowflake #Langchain #Programming #"ETL (Extract #Transform #Load)" #Libraries #Scala #Python #Lambda (AWS Lambda) #AWS (Amazon Web Services)
Role description
Job type: Contract to hire Duration of contract: 6 months Conversion salary: $141,750 - $165,000 Important note: • This is a fully remote opportunity. • Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. About the Role: We are expanding our AI capabilities and building a strong internal foundation to support a wide range of AI-driven initiatives. We are seeking a highly skilled AI Developer who can design and implement next-generation AI solutions within an AWS environment. This role offers the opportunity to work on cutting-edge technologies like AWS Bedrock, Agentic AI, and Model Context Protocol (MCP), while contributing to the development of our in-house frameworks. Key Responsibilities: • Design, develop, and deploy AI solutions using AWS services (Lambda, Bedrock, etc.). • Build and manage custom MCP servers to centralize data workflows (e.g., pulling and transforming Snowflake data). • Develop and maintain Agentic and multi-agent frameworks for orchestration and workflow automation. • Utilize libraries such as FastMCP to create MCP clients and desktop environments. • Work with frameworks including LangChain, LangGraph, Bedrock, and Amazon Strands to build scalable AI agents. • Collaborate with cross-functional teams to define requirements and deliver AI solutions. • Stay current with rapidly evolving AI technologies and frameworks. Required Qualifications: • 4–5 years of hands-on AWS experience, with strong knowledge of Lambda and related services. • Proven expertise with AWS Bedrock and Agentic AI frameworks. • Proficiency in Python programming and relevant libraries. • Hands-on experience with MCP (Model Context Protocol) — preferably since its introduction in late 2024. • Ability to build custom MCP servers, clients, and desktop environments. • Experience creating Agentic frameworks and multi-agent orchestration (2+ agents, 3–4 step workflows). Preferred Qualifications: • Experience with alternative frameworks such as GlueAI or Microsoft Autogen. • Familiarity with financial services or banking environments. • Strong problem-solving and communication skills. Team & Process: • You’ll be part of a 10-member team (not all are AI developers). • Candidates must complete a technical evaluation prior to panel interviews. • Progression to the interview stage will be based on test performance. Why Join Us? This is an opportunity to work at the forefront of AI innovation — building frameworks and systems that will shape the way we deploy multi-agent, MCP-driven AI solutions. If you’re passionate about pushing boundaries in AI and eager to grow with us along our maturity cycle, we’d love to hear from you.