AI Engineer

Job Description Job Description Our financial client is seeking an AI Engineer for a long-term, hybrid contract role in midtown Manhattan; 3 days onsite and 2 days remote per week.

Responsibilities include, but are not limited to: - Design and build AI-driven solutions that improve business processes and user productivity - Develop and deploy machine learning and generative AI models for real-world use cases - Create and optimize prompts, embeddings, and retrieval strategies for AI applications - Build and maintain pipelines for model training, evaluation, and inference - Evaluate model performance using appropriate metrics and continuously improve accuracy and relevance - Partner with business stakeholders to identify high-value AI use cases and translate them into working solutions - Experiment with new AI techniques, models, and tools to improve outcomes and reduce manual effort - Ensure responsible AI practices, including data privacy, governance, and model transparency - Document models, experiments, and results to support reuse and scalability - Provide technical guidance on AI best practices across teams

Required Skills - 5 to 7 years of experience building AI or machine learning solutions in enterprise environments - Strong experience with generative AI, including prompt engineering and retrieval-augmented generation - Hands-on experience with Azure OpenAI, Azure Machine Learning, or similar platforms - Strong programming skills in Python - Experience training, fine-tuning, or adapting models for business use cases - Experience working with structured and unstructured data, including text-heavy datasets - Experience evaluating model performance and improving outputs through iteration - Understanding of embeddings, vector search, and semantic retrieval - Strong problem-solving skills with focus on measurable business outcomes - Strong communication skills with ability to explain AI concepts to non-technical stakeholders

Beneficial Skills - Experience with vector databases and semantic search platforms - Experience with Databricks or large-scale data processing - Experience with frameworks such as LangChain or similar - Experience deploying AI solutions into production environments - Familiarity with MLOps practices, model versioning, and monitoring - Experience with Azure Functions, C#, or PowerShell for supporting automation - Familiarity with data governance and security practices for AI systems - Experience working in Agile or Scrum environments - Microsoft or AI-related certifications