Sr. Python AI/ML Engineer

Role: Sr. Python AI/ML Engineer

Location: Morris Plains, NJ, Austin or Dallas, TX, Tampa or Orlando, FL (Hybrid)

Visa: No Transfers, GC

Required: Python, CloudWatch, Open Telemetry, RAG architecture, FASTAPI

• 10 years of experience required.
• Expert-level Python development with a focus on production-grade microservices
• Proficient in Python dependency management and packaging for scalable services
• Strong experience in structured logging, exception handling
• Experience with observability using tools like CloudWatch, Open Telemetry, Prometheus, or others
• Deep familiarity with OpenAI APIs (chat/completions, function calling, embeddings)
• Experience designing multi-agent architectures, where each agent handles distinct data sources or functional areas
• Data Science & ML Skills
• Ability to query, aggregate, understand, and potentially augment large datasets using platforms like Databricks, PySpark, or SQL
• Practical experience in using machine learning and rule-based logic to identify trends or classify behavior
• Familiarity with RAG architecture and vector similarity search using tools like FAISS, pgvector, or Pinecone
• Familiarity with FastAPI, LangChain, or similar frameworks for GenAI orchestration.

Desired:

• Expertise in integrating and orchestrating multiple backend APIs, including dynamic payload creation and conditional routing logic
• Proficient in implementing OAuth2 with JWT for secure API authentication and service-to-service communication
• Strong understanding of security best practices for sensitive data handling
• Cloud & Deployment Skills
• Experience with AWS services (Lambda, ECS, API Gateway, S3, Secrets Manager, Bedrock, SageMaker) or other cloud providers
• Experience with OpenShift or Kubernetes for deploying and scaling containers
• Familiar with CI/CD pipelines using GitHub Actions, Jenkins, or AWS CodePipeline
• Knowledge of infrastructure-as-code using Terraform, Helm, or similar tools
• Prior work with intelligent Gen AI assistants or in-app AI integration use cases
• Experience building event-driven systems or real-time insights dashboards.