Senior AI / Machine Learning Engineer
Summit NJ Hybrid
We are seeking a Senior AI / Machine Learning Engineer to join the team. This position emphasizes backend engineering cloud infrastructure and AI/LLM integration with less focus on model training and more on designing building and scaling applications around AI capabilities.
Key Responsibilities
- Design and build AI-driven backend services and applications using Python
- Develop and deploy LLM-powered agents to support retirement services use cases
- Integrate large language models via Azure OpenAI / Azure AI Gateway
- Build stateful AI agents including custom tools and workflows using MCP (Model Context Protocol)
- Design and implement RESTful APIs using FastAPI including async patterns
- Build scalable containerized services optimized for serverless environments
- Implement RAG architectures using vector databases such as Pinecone or Qdrant
- Collaborate closely with data engineering platform and security teams
- Ensure production-ready solutions with proper authentication retries and fault tolerance
- Use Infrastructure as Code to provision and manage cloud resources
Required Qualifications
Core Engineering
- 6 years of Python backend engineering experience
- Strong experience with AsyncIO (async/await) Pydantic and FastAPI
- 4 years of Docker containerization including multi-stage builds and optimization
- 5 years designing API client architectures including robust adapters for internal/corporate gateways
Cloud & Infrastructure (AWS)
- 4 years working with AWS compute and networking services (ECS Fargate ECR API Gateway Route 53)
- 4 years with AWS security services (IAM Secrets Manager VPC configuration)
- 3 years using Infrastructure as Code (Terraform or AWS CDK)
Generative AI & Agent Development
- 2 years integrating LLMs (Azure OpenAI / Azure AI Gateway preferred; 1 year acceptable for urgent needs)
- 2 years working with agent frameworks such as LangChain LlamaIndex or Strands SDK
- Hands-on experience building stateful agents custom tools and workflows
- Experience with Model Context Protocol (MCP)
- 1 year experience with vector databases and Retrieval Augmented Generation (RAG)
Nice to Have
- Experience building AI applications in regulated or enterprise environments
- Familiarity with retirement services or financial services domains
Strong understanding of production-grade AI system design
Senior AI / Machine Learning Engineer Summit NJ Hybrid We are seeking a Senior AI / Machine Learning Engineer to join the team. This position emphasizes backend engineering cloud infrastructure and AI/LLM integration with less focus on model training and more on designing building and scaling app...
Senior AI / Machine Learning Engineer
Summit NJ Hybrid
We are seeking a Senior AI / Machine Learning Engineer to join the team. This position emphasizes backend engineering cloud infrastructure and AI/LLM integration with less focus on model training and more on designing building and scaling applications around AI capabilities.
Key Responsibilities
- Design and build AI-driven backend services and applications using Python
- Develop and deploy LLM-powered agents to support retirement services use cases
- Integrate large language models via Azure OpenAI / Azure AI Gateway
- Build stateful AI agents including custom tools and workflows using MCP (Model Context Protocol)
- Design and implement RESTful APIs using FastAPI including async patterns
- Build scalable containerized services optimized for serverless environments
- Implement RAG architectures using vector databases such as Pinecone or Qdrant
- Collaborate closely with data engineering platform and security teams
- Ensure production-ready solutions with proper authentication retries and fault tolerance
- Use Infrastructure as Code to provision and manage cloud resources
Required Qualifications
Core Engineering
- 6 years of Python backend engineering experience
- Strong experience with AsyncIO (async/await) Pydantic and FastAPI
- 4 years of Docker containerization including multi-stage builds and optimization
- 5 years designing API client architectures including robust adapters for internal/corporate gateways
Cloud & Infrastructure (AWS)
- 4 years working with AWS compute and networking services (ECS Fargate ECR API Gateway Route 53)
- 4 years with AWS security services (IAM Secrets Manager VPC configuration)
- 3 years using Infrastructure as Code (Terraform or AWS CDK)
Generative AI & Agent Development
- 2 years integrating LLMs (Azure OpenAI / Azure AI Gateway preferred; 1 year acceptable for urgent needs)
- 2 years working with agent frameworks such as LangChain LlamaIndex or Strands SDK
- Hands-on experience building stateful agents custom tools and workflows
- Experience with Model Context Protocol (MCP)
- 1 year experience with vector databases and Retrieval Augmented Generation (RAG)
Nice to Have
- Experience building AI applications in regulated or enterprise environments
- Familiarity with retirement services or financial services domains
Strong understanding of production-grade AI system design
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