Note: The job is a remote job and is open to candidates in USA. Amtex Systems Inc is seeking a Senior AI Engineer to lead the design, development, deployment, and support of agentic AI applications. The role focuses on multi-agent orchestration, RAG pipelines, LLM integrations, MCP Server frameworks, technical leadership, platform selection, engineering best practices, and responsible AI guardrails.
Responsibilities
- Serve as hands-on technical lead for the design, development, deployment and support of Agentic AI applications, including multi-agent workflows and orchestration (25%)
- Hands-on technical coloration, code review, support and mentorship to AI Engineers and contractors on the team (15%)
- Architect and implement RAG pipelines, vector search, embedding-based retrieval, and LLM integration patterns for production use cases (15%)
- Design and build MCP Server integrations and tool-use frameworks to extend agentic application capabilities (10%)
- Collaborate with the VP Engineering and Data Strategy and cross-functional stakeholders to translate AI strategy and roadmap into technical execution plans (10%)
- Own selection and integration of AI frameworks and platforms, ensuring scalability, reliability, and security of deployed solutions (10%)
- Establish and enforce engineering best practices, including CI/CD, testing, and responsible AI guardrails for agentic systems (10%)
- Monitor emerging AI engineering trends, tools, and techniques and assess applicability to current initiatives (5%)
Skills
- Bachelor's Degree in a technical or numerical field
- 8+ years' experience designing and developing software applications and/or data engineering pipelines
- 3+ years' experience leading or providing technical directions to engineers on application or AI/ML delivery teams
- Experience in LangGraph, LangChain, RAG chatbots, vector databases, NLP-based automation, MCP Server development, embedding-based search, and LLM integration is required
- Experience in microservices architecture, Kubernetes, OpenShift, AWS and/or Azure, Spring Boot, Node.js, CI/CD, and DevOps automation is required
- Master's degree preferred
- Experience with Trino, Superset, Starburst SQL Server, ETL tools, S3, Airflow, Iceberg, PySpark, or Hive preferred
- Experience building financial services solutions in big data infrastructure preferred
Benefits
- Remote work arrangement
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