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GenAI Programmer / AI Engineer
Mitchell Martin, Inc.Jersey City, NJ🇺🇸United StatesPosted 11 Aug 2026
Quick Overview
Salary
$47 - $68/hr
Work Type
On Site
Level
Mid Senior
Job Description
Title: GenAI Programmer / AI Engineer
Location: Jersey City, NJ
Employment Type: Contract (12 months, likely extension) | Hybrid (3 days onsite)
Compensation:
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
Contact Authorization:
By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy here
Benefits:
Learn more about our benefits offerings here
Onboarding Expectations:
Learn more about our Onboarding Process here
EEO Statement:
Learn more about our EEO policy here
#LI-MJ1
Location: Jersey City, NJ
Employment Type: Contract (12 months, likely extension) | Hybrid (3 days onsite)
Compensation:
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
Contact Authorization:
By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy here
Benefits:
Learn more about our benefits offerings here
Onboarding Expectations:
Learn more about our Onboarding Process here
EEO Statement:
Learn more about our EEO policy here
#LI-MJ1
Skills
FastAPI
MongoDB
Neo4j
GPT
Generative AI
Hadoop
Hive
Java
Kafka
LLM
Phoenix
Python
REST
Redis
WebSocket
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