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GenAI Programmer / AI Engineer
Mitchell Martin
2 hours ago
Full-time
On-site
Jersey City, New Jersey, United States
GenAI Programmer / AI Engineer Jersey City, NJ Employment Type: Contract (12 months, likely extension) | Hybrid (3 days onsite) Pay Range: $47.49 - $67.85 HR Job Summary A top financial services firm is seeking a hands-on GenAI Engineer for a high-visibility Generative AI initiative focused on enterprise-scale document summarization and conversational AI. The platform will support large volumes of heterogeneous documents across multiple lines of business. Required
2+ years delivering end-to-end GenAI/LLM-based solutions in enterprise production environments Strong Python expertise: REST APIs, FastAPI, WebSocket-based applications LLMs (GPT, LLaMA), Agentic frameworks (LangGraph), orchestration frameworks (MCP, LangChain, LlamaIndex) Embedding models and RAG evaluation frameworks (RAGAS, LangSmith, Phoenix/Arize) Model Governance and Model Risk Management: model documentation, governance compliance, monitoring, performance controls Excellent communication skills; ability to explain complex technical concepts to non-technical stakeholders 10+ years overall IT experience with leadership on complex enterprise initiatives
Preferred
Java development experience Enterprise data stores: Redis, MongoDB Distributed/big data: Spark, Kafka, Hadoop/Hive, Neo4j ML techniques, classifiers, and statistical modeling Advanced degree in Data Science, Mathematics, Statistics, or quantitative field
2+ years delivering end-to-end GenAI/LLM-based solutions in enterprise production environments Strong Python expertise: REST APIs, FastAPI, WebSocket-based applications LLMs (GPT, LLaMA), Agentic frameworks (LangGraph), orchestration frameworks (MCP, LangChain, LlamaIndex) Embedding models and RAG evaluation frameworks (RAGAS, LangSmith, Phoenix/Arize) Model Governance and Model Risk Management: model documentation, governance compliance, monitoring, performance controls Excellent communication skills; ability to explain complex technical concepts to non-technical stakeholders 10+ years overall IT experience with leadership on complex enterprise initiatives
Preferred
Java development experience Enterprise data stores: Redis, MongoDB Distributed/big data: Spark, Kafka, Hadoop/Hive, Neo4j ML techniques, classifiers, and statistical modeling Advanced degree in Data Science, Mathematics, Statistics, or quantitative field