AI Engineer

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