AI Engineer

The AI Engineer role supports the pharmaceutical industry with hands-on development of Generative AI and LLM-based applications. This hybrid contractor position is based in Summit, NJ, with a 2-day onsite cadence and a stated 6+ month duration, with potential for extension.

Location and Employment Details

• Location: Summit, NJ (hybrid)
• Onsite Requirement: 2 days onsite
• Job Type: Contract
• Duration: 6+ months (potential extension)
• Interviews: Video interviews
• Documentation: ID proof will be required

Responsibilities

• Design, develop, and deploy Generative AI and LLM-powered applications.
• Build AI Agents and agentic workflows to automate business processes.
• Develop and optimize RAG (Retrieval-Augmented Generation) architectures for enterprise use cases.
• Implement AI solutions using LangGraph, LangChain, CrewAI, AutoGen, or similar frameworks.
• Integrate LLMs through 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.
• Apply 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.

Required Qualifications

• 6+ years of experience in software engineering, AI/ML, data engineering, or a related field.
• 2+ years of hands-on experience with Generative AI solutions.
• Strong experience building AI Agents, agentic workflows, RAG, and LLM applications.
• Hands-on experience with LangGraph, LangChain, CrewAI, AutoGen, 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.

Relevant Technologies

• Python
• LangGraph
• LangChain
• CrewAI
• AutoGen
• Semantic Kernel
• Azure OpenAI
• Azure AI Foundry
• AWS Bedrock
• OpenAI APIs
• REST APIs