AI Developer | Onsite Malvern PA

Overview

On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

AI
LLM
agentic

Job Details

Only W2 Candidates can apply.

Key Responsibilities:

  • Design and build AI-powered chat systems leveraging agentic architectures such as Bedrock and LangGraph.

  • Integrate multiple APIs (Accounts, Holdings, Portfolio Watch, Transactions) for real-time and contextual data delivery.

  • Evolve the Explain and Empower MVP into a robust, cross-platform assistant.

  • Implement evaluation, observability, and monitoring frameworks to ensure responsible deployment of generative AI.

  • Translate technical specifications into clean, efficient, and well-tested code.

  • Participate in system analysis, design reviews, and code inspections to maintain high-quality standards.

  • Follow established software development methodologies and secure coding practices.

  • Support production deployment, issue resolution, and continuous improvement efforts.

  • Collaborate across cross-functional teams, fostering innovation and maintaining technical excellence.


Required Skills & Experience:

  • 3+ years of professional software development experience, with at least 1 year in AI/LLM or agentic architecture development.

  • Strong experience with Python and TypeScript (knowledge of Stencil is a plus).

  • Hands-on experience with AWS services Lambda, ECS, DynamoDB, CloudFormation, CloudWatch.

  • Experience with monitoring tools such as Splunk or Honeycomb.

  • Proven ability to integrate third-party APIs and data systems.

  • Strong understanding of software design principles, version control, and deployment automation.

  • Excellent analytical and problem-solving abilities, with a collaborative and adaptive mindset.

  • Passion for building intelligent, user-centric digital experiences.


Preferred Qualifications:

  • Familiarity with agentic frameworks like Bedrock, LangGraph, or LangChain.

  • Exposure to Generative AI (LLM) model integration.

  • Experience working in financial services or data analytics environments.

  • Understanding of security, data privacy, and compliance in AI systems.


Education:

  • Bachelor s degree in Computer Science, Information Systems, or a related field, or equivalent combination of education and experience.

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