AI Engineer - Titusville, NJ; Hybrid – Onsite

We are looking to hire a candidate with the mentioned skill sets and experience for one of our clients within the pharmaceutical Industry. This is a 6+ month contracting role, with potential for extension.

Only candidates currently residing in the United States will be considered for this position.

We are looking for an experienced AI Engineer with strong hands-on experience in Generative AI, Agentic AI, RAG, and LLM-based applications. The ideal candidate should have strong Python programming skills and experience building and integrating AI solutions into enterprise systems.

• Design, develop, and deploy Generative AI and LLM-powered applications.
• Build AI Agents and Agentic Workflows to automate business processes.
• Develop and optimize RAG architectures for enterprise use cases.
• Implement AI solutions using Lang Graph, Lang Chain, CrewAI, Auto Gen, or similar frameworks.
• Integrate LLMs using Azure OpenAI, AWS Bedrock, OpenAI APIs, or other GenAI platforms.
• Develop Python-based AI applications and integrate them with REST APIs, databases, and cloud services.
• Implement prompt engineering, model evaluation, guardrails, and responsible AI practices.
• Optimize AI applications for performance, accuracy, scalability, and reliability.
• Collaborate with cross-functional teams to understand business requirements and deliver AI solutions.

• 6+ years of experience in software engineering, AI/ML, data engineering, or related fields.
• Minimum 2+ years of hands-on experience with Generative AI solutions.
• Strong experience developing AI Agents, Agentic Workflows, RAG, and LLM applications.
• Experience with Lang Graph, Lang Chain, CrewAI, Auto Gen, Semantic Kernel, or similar frameworks.
• Hands-on experience with Azure OpenAI, Azure AI Foundry, AWS Bedrock, or OpenAI APIs.
• Knowledge of prompt engineering, fine-tuning, model evaluation, and AI guardrails.
• Experience integrating AI applications with REST APIs, databases, and cloud platforms.
• Strong Python programming skills and familiarity with AI/ML libraries.
• Good communication and problem-solving skills.

• Interviews:
  
  Video interviews.
• Docs required: will be required.