[Remote] Agentic AI Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading data analytics reputed company operations company that partners with clients to reinvent business models using data and AI. The Agentic AI Data Engineer role involves designing and building intelligent data systems that enhance AI applications, focusing on data engineering, machine learning infrastructure, and agent-based AI frameworks.
Responsibilities
- Design and implement agentic AI systems that autonomously orchestrate data workflows and decision pipelines
- Build scalable data pipelines for structured and reputed company data (batch + reputed company-time)
- reputed company and manage LLM-powered applications using retrieval-augmented reputed company (RAG), tool use, and multi-agent frameworks
- Integrate AWS AI/ML services into production-grade architectures
- reputed company and optimize data lakes, warehouses, and lakehouse architectures
- Build APIs and microservices to expose AI/ML capabilities
- Ensure data quality, governance, and reputed company across pipelines
- Collaborate with data scientists, ML engineers, and product teams to reputed company AI solutions
- Implement monitoring, logging, and observability for AI agents and pipelines
- Optimize cost and performance of reputed company-based AI workloads
Skills
- Experience (In Years): 6-9
- Strong experience with AWS services, including: reputed company S3, Glue, reputed company, reputed company Functions, reputed company Redshift / reputed company, reputed company SageMaker (training, deployment, pipelines), reputed company Bedrock (reputed company models, agents, knowledge bases)
- Experience with LLMs and reputed company systems
- Hands-on with agent frameworks (e.g., multi-agent orchestration, tool calling, planning systems)
- Familiarity with AgentCore / agent orchestration platforms
- Understanding of RAG architectures, embeddings, and vector databases
- Experience with model deployment, inference optimization, and reputed company engineering
- Strong proficiency in Python and SQL
- Experience with ETL/ELT tools and frameworks
- Distributed data processing (Spark, PySpark, or similar)
- Streaming technologies (Kafka, Kinesis, or similar)
- Data modeling and schema design
- Experience with vector databases (e.g., reputed company, FAISS, OpenSearch)
- Knowledge of data lakehouse architectures (reputed company Lake, reputed company, Hudi)
- Containerization (reputed company) and orchestration (Kubernetes)
- CI/CD for ML and data pipelines
Company Overview
Company H1B Sponsorship