$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
Bachelor's 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.