Location: NJ/NY Area Experience Required: 6 8 years Positions: 4 End Customer Industry: Financial Services 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.
Work with stakeholders to understand business requirements and translate them into technical Gen-AI solutions.
Required Skills
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
Bachelors 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.
Gen-AI Engineer Location: NJ/NY Area Experience Required: 6 8 years Positions: 4 End Customer Industry: Financial Services 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 ...
Gen-AI Engineer
Location: NJ/NY Area Experience Required: 6 8 years Positions: 4 End Customer Industry: Financial Services 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.
Work with stakeholders to understand business requirements and translate them into technical Gen-AI solutions.
Required Skills
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
Bachelors 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.