Gen-AI Engineers

Bill Rate: $65 $70/hr. Strong candidates at a higher rate may also be submitted for review. Job Description We are looking for experienced Gen-AI Engineers with 6 8 years of overall IT experience, including a minimum of 2 years of hands-on experience implementing Generative AI solutions. The ideal candidate should have strong expertise in building, integrating, and deploying AI/ML and Gen-AI solutions for enterprise environments, preferably within the Financial Services domain. The role will involve working closely with business, data, engineering, and architecture teams to design and implement Gen-AI use cases, integrate LLM-based solutions with enterprise applications, and ensure scalable, secure, and production-ready deployments. Key Responsibilities

• Design, develop, and implement Generative AI solutions using LLMs and related AI technologies.
• Build and deploy Gen-AI applications such as chatbots, document intelligence, knowledge assistants, summarization tools, and automation solutions.
• Work with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar Gen-AI orchestration tools.
• Integrate Gen-AI solutions with enterprise systems, APIs, databases, and cloud platforms.
• Develop and optimize prompts, embeddings, vector search, and RAG-based architectures.
• Collaborate with data engineering and application teams to consume structured and unstructured data.
• Ensure AI solutions meet enterprise standards for security, scalability, compliance, and performance.
• Support model evaluation, testing, monitoring, and production deployment.
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• 6 8 years of overall experience in software engineering, data engineering, AI/ML, or related technology roles.
• Minimum 2 years of hands-on experience implementing Generative AI solutions.
• Strong experience with Python and AI/ML libraries.
• Hands-on experience with LLMs such as OpenAI, Azure OpenAI, Anthropic, Llama, Gemini, or similar models.
• Experience with RAG, embeddings, prompt engineering, vector databases, and semantic search.
• Experience with vector databases such as Pinecone, FAISS, Chroma, Weaviate, Milvus, or Azure AI Search.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Good understanding of APIs, microservices, data pipelines, and application integration.
• Strong problem-solving, communication, and stakeholder collaboration skills.

Preferred Skills

• Experience in the Financial Services domain.
• Experience working with enterprise AI governance, security, compliance, and data privacy requirements.
• Experience with Azure OpenAI, Azure AI Search, AWS Bedrock, or Google Vertex AI.
• Experience deploying AI/ML or Gen-AI solutions into production.
• Knowledge of MLOps, LLMOps, CI/CD, Docker, Kubernetes, or cloud-native deployment.

Education Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field. Notes Candidates must be located in or willing to work in the NJ/NY area. Please submit strong Gen-AI Engineers with proven implementation experience. Candidates slightly above the target bill rate may also be submitted for review if they are a strong technical match.