AI Data Engineer

• Proven experience as a software engineer with strongproficiencyin Python and/or Java, writing clean, scalable, production-grade code.
• Solid experience designing and building microservices and RESTful APIs in distributed, cloud-based environments.
• Experience designing, implementing, and extending AI agentic systems, including tool use, planning, and autonomous decision-making workflows.
• Experience building multi-agent systems where multiple agents collaborate, delegate, and coordinate to complete complex tasks.
• Hands-on experience building conversational or chat systems with both short-term (session) and long-term (persistent) context management.
• Experience building Retrieval-Augmented Generation (RAG) systems - including document ingestion, chunking strategies, vector stores, and retrieval pipelines.
• Experience building MCP servers
• Experience integrating agentic systems with external APIs, third-party services, and enterprise data sources.
• Strong understanding of security in agentic systems - authentication, authorization, least-privilege access, prompt injection defense, and audit logging.
• Knowledge of relational databases (e.g.PostgreSQL, Microsoft SQL Server) and vector databases (e.g.Qdrant, Pinecone,pgvector,Weaviate).
• Experience using system and performance monitoring tools (e.g.New Relic, Datadog).
• Proficient in Git and comfortable working in CI/CD-driven development workflows.
• Excellent critical-thinking, communication, and personal leadership skills.
• Self-starter with the ability to deliver with minimal supervision.
• BSc/BA in Computer Science or a related degree.

• Experience with distributed computing.
• Experience writing code/scripts in Python.
• Experience with Spring Boot.
• Nice to have:
  React, Selenium automation and cloud experience.
• Nice tohave:document parsing systems, including extraction from PDFs, structured/unstructured data sources, and handling diverse file formats.
• Experience with Docker,Kubernetesand Istio.
• Experience with Ansible.
• Experience with CI/CD pipelines using Spinnaker and/or Git Hub Actions.
• Linux and IP networking knowledge.
• Experience with AWS/Azure cloud services or equivalent.
• Experience with Terraform for infrastructure as code and cloud provisioning
• Nice to have:
  Experience with SAML, OAuth and OpenID Connect.
• Experience working on a SaaS product.
• Experience with Service Oriented Architecture.
• On-call experience with production grade systems.
• Has mentored others in a professional setting.

Generative AI Code Assistants - Use of Generative AI Code Assistants (e.g.Git Hub Copilot) and knowledge of latest Generative AI model capabilities