Gen-AI Engineers

SysMind Tech

$135K — $145K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6-8 years of overall experience in software engineering or AI/ML roles.
  • 2 years of hands-on experience with Generative AI solutions.
  • Proficient in Python and related AI/ML libraries.
  • Familiarity with LLMs like OpenAI, Azure OpenAI, or similar.
  • Experience with vector databases such as Pinecone or FAISS.
  • Knowledge of cloud platforms including Azure, AWS, or GCP.
  • Strong problem-solving and stakeholder collaboration skills.

Responsibilities

  • Design, develop, and implement Generative AI solutions using relevant technologies.
  • Build and deploy applications like chatbots and document intelligence tools.
  • Integrate Gen-AI solutions with enterprise systems and APIs.
  • Optimize prompts, embeddings, and vector search architectures.
  • Collaborate with data teams for structured and unstructured data consumption.
  • Ensure AI solutions meet security, scalability, and compliance standards.
  • Support model testing, monitoring, and production deployment.

Benefits

  • Opportunity to work in the innovative Financial Services sector.
  • Collaboration with cross-functional teams including data and engineering.
  • Engagement with cutting-edge AI/ML technologies and frameworks.
  • Possibility of a higher bill rate for strong candidates.
  • Dynamic work environment in the NJ/NY area.
Full Job Description
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

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.

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