Sr. Python AI/ML Engineer

Sr. Python AI/ML EngineerJob Location: Morris Plains, NJ, Austin or Dallas, TX, Tampa or Orlando, FL (Hybrid - Onsite 3 days/week)Employment Type: C2HDuration: Long termKey Technology: Python, CloudWatch, Open Telemetry, RAG architecture, FASTAPIJob Responsibilities: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:RequiredExpert-level Python development with a focus on production-grade microservicesProficient in Python dependency management and packaging for scalable servicesStrong experience in structured logging, exception handlingExperience with observability using tools like CloudWatch, Open Telemetry, Prometheus, or othersDeep familiarity with OpenAI APIs (chat/completions, function calling, embeddings)Experience designing multi-agent architectures, where each agent handles distinct data sources or functional areasData Science & ML SkillsAbility to query, aggregate, understand, and potentially augment large datasets using platforms like Databricks, PySpark, or SQLPractical experience in using machine learning and rule-based logic to identify trends or classify behaviorFamiliarity with RAG architecture and vector similarity search using tools like FAISS, pgvector, or PineconeFamiliarity with FastAPI, LangChain, or similar frameworks for GenAI orchestrationDesiredExpertise in integrating and orchestrating multiple backend APIs, including dynamic payload creation and conditional routing logicProficient in implementing OAuth2 with JWT for secure API authentication and service-to-service communicationStrong understanding of security best practices for sensitive data handlingCloud & Deployment SkillsExperience with AWS services (Lambda, ECS, API Gateway, S3, Secrets Manager, Bedrock, SageMaker) or other cloud providersExperience with OpenShift or Kubernetes for deploying and scaling containersFamiliar with CI/CD pipelines using GitHub Actions, Jenkins, or AWS CodePipelineKnowledge of infrastructure-as-code using Terraform, Helm, or similar toolsPrior work with intelligent Gen AI assistants or in-app AI integration use casesExperience building event-driven systems or real-time insights dashboards.