Job Title: Sr. Python AI/ML Engineer

Location: Morris Plains, NJ, Austin or Dallas, TX, Tampa or Orlando, FL (Hybrid - Onsite 3 days/week) Job Description: Understand the Business End to End. Understand the Application Architecture. Responsible for Designing and building Applications. Understand the project timelines and deadlines. Provide Impact analysis for new requirements or changes. Responsible for low level design with the team. Convey architectural solutions to all levels of professionals and leaders. Ensure Code Quality and Deliverables. Lead the team and deliverables -Prioritize work with stakeholders. Understand and follow the current Code Build and Deployment patterns across all environments. Perform checkouts of the code deployments before the QA starts testing. Support continuous improvement, investigating alternatives and technologies, and presenting for architectural review. Develop and Mentor Junior Developers. Plan and prepare to support PI planning Events. Work breakdown by stories for development. Accurate work Estimation and commitment to timelines and deadlines. Identify dependencies and communication. Skills and Experience Required: 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.