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Senior AI Developer

Dale WorkForce Solutions

Role overview

Qualifications

  • 6–8+ years of software development experience with a focus on AI/ML or LLM integration
  • Proven experience as an AI integrator—bringing external AI products into internal systems
  • Strong programming skills in Python
  • Experience with PyTorch and modern AI/ML frameworks

Responsibilities

  • Lead the migration of an externally developed AI/LLM solution into internal infrastructure
  • Integrate and adapt LLMs (e.g., OpenAI, Claude, etc.) across enterprise environments
  • Perform model/platform transitions (e.g., switching LLM providers, Oracle → Snowflake)
  • Design and develop AI-powered applications, including chatbot/assistant interfaces

About the company

Dale WorkForce Solutions logo

Dale WorkForce Solutions

Dale Workforce Solutions (DWS) is a WBENC certified woman owned staffing and talent solution leader, providing information technology and professional staffing to a nationwide client base. We strive to EMPOWER change, ENRICH partnerships and ELEVATE outcomes. Mission: To help our clients advance their business culture with exceptional talent through an intentional focus on agility, diversity, and inclusion. We strive to Empower change, enrich partnerships, elevate outcomes Core Values Integrity, Teamwork, Care, and Agility Simplify: Communicate with clarity, focus and purpose Relationships: Act with integrity, value connections, and build trusted partnerships Impact: Make a difference, be passionate, fun and flexible

Company details

Company typeSME
Company size11 - 50

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Job description

Job Title: Senior AI Developer / AI Integrator (LLM, Data Access)
Location: Remote (EST hours required; NJ/NY/PA preferred – proximity to King of Prussia, PA is a plus)
Duration: Contract-to-Hire (6 months+)
Position Overview
We are seeking a Senior AI Developer / Integrator. This role sits at the intersection of AI engineering, system integration, and data governance, with a strong focus on operationalizing LLM-based solutions within internal platforms.

The ideal candidate will have hands-on experience integrating third-party LLM solutions, performing "lift-and-shift” transformations across AI models and data platforms, and building scalable AI applications that support data access, compliance, and business workflows.
Key Responsibilities
  • Lead the migration of an externally developed AI/LLM solution into internal infrastructure
  • Integrate and adapt LLMs (e.g., OpenAI, Claude, etc.) across enterprise environments
  • Perform model/platform transitions (e.g., switching LLM providers, Oracle → Snowflake)
  • Design and develop AI-powered applications, including chatbot/assistant interfaces
  • Build and maintain APIs and integrations for AI services and enterprise systems
  • Enhance model performance through prompt engineering, tuning, and optimization
  • Work with structured and unstructured data to support data access and decisioning workflows
  • Collaborate with business stakeholders to translate requirements into AI-enabled solutions
  • Ensure alignment with data governance, security, compliance, and privacy standards
  • Stay current with emerging AI technologies and recommend improvements
Required Qualifications
  • 6–8+ years of software development experience with a focus on AI/ML or LLM integration
  • Proven experience as an AI integrator—bringing external AI products into internal systems
  • Strong programming skills in Python
  • Experience with PyTorch and modern AI/ML frameworks
  • Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.)
  • Strong SQL/PSQL and data querying skills
  • Experience building and consuming REST APIs
  • Familiarity with Snowflake and/or Oracle environments
  • Experience working in agile, fast-evolving technical environments
Preferred Qualifications
  • Experience in data governance, data cataloging, or master data management
  • Knowledge of data access, security, compliance, and privacy frameworks
  • Experience with pharmaceutical or healthcare datasets
  • Background building AI chat assistants or data access tools
  • Exposure to graph-based data integrations
  • Experience in regulated environments
What Success Looks Like
  • Successfully internalize and operationalize an AI-powered data access assistant
  • Seamlessly transition across LLMs and data platforms with minimal disruption
  • Deliver a scalable, production-ready AI solution aligned to business and compliance needs
  • Act as a technical lead in shaping AI integration strategy

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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