Senior AI Engineer

Position - Senior AI Engineer

Location - Princeton Junction, NJ

Duration - Full Time

About the Role

We are seeking a highly skilled and experienced AI Engineer to join our growing team. The ideal candidate will have strong expertise in designing, developing, and deploying AI solutions, with hands-on experience in Generative AI, Large Language Models (LLMs), machine learning frameworks, and cloud-based AI platforms. This role requires collaboration with cross-functional teams and alignment with stakeholders

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Key Responsibilities

• Design, develop, and deploy AI solutions for business-critical applications
• Build and optimize Generative AI applications using Large Language Models (LLMs)
• Develop and maintain end-to-end machine learning pipelines, including data preprocessing, model training, evaluation, and deployment
• Fine-tune and customize foundation models for specific business use cases
• Implement Retrieval-Augmented Generation (RAG) architectures and vector database solutions
• Integrate AI solutions with existing enterprise applications and APIs
• Monitor model performance, troubleshoot issues, and continuously improve AI systems
• Collaborate with product, engineering, and business teams to translate requirements into scalable AI solutions
• Stay updated with emerging AI technologies, frameworks, and industry best practices
• Ensure adherence to security, compliance, and responsible AI standards

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science with major in Artificial Intelligence, Data Science, or a related field
• 5+ years of hands-on experience in AI/ML engineering and solution development
• Strong proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face
• Experience working with Large Language Models (OpenAI, Claude, Llama, Gemini, etc.)
• Hands-on experience with RAG frameworks, vector databases (Pinecone, Weaviate, Chroma, FAISS, etc.), and prompt engineering
• Experience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks
• Knowledge of cloud platforms such as AWS, Azure, or GCP and their AI services
• Experience building and deploying scalable AI applications using Docker, Kubernetes, and CI/CD pipelines
• Familiarity with REST APIs, microservices architecture, and software engineering best practices
• Strong understanding of data structures, algorithms, and system design principles
• Excellent problem-solving, communication, and stakeholder management skills

Preferred Qualification

• Experience with AI agents, autonomous workflows, and multi-agent systems
• Exposure to MLOps tools and frameworks
• Experience in enterprise AI deployments and production-grade systems
• Knowledge of model evaluation, AI governance, and responsible AI practices
• Experience working with distributed teams and US-based clients

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What We Offer

• Opportunity to work on cutting-edge AI and Generative AI initiatives
• Exposure to global clients and challenging business problems
• Collaborative and innovation-driven work environment
• Career growth opportunities in a rapidly evolving AI ecosystem

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