W2// AI Data Engineer

Role : AI Data Engineer

Location : Remote ( USA)

Experience level – 15+ yrs

JD :

• Proven experience as a software engineer with strong proficiency in 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. 

Bonus Points 

• Experience with distributed computing. 

• Experience writing code/scripts in Python. 

• Experience with Spring Boot. 

• Nice to have: React, Selenium automation and cloud experience. 

• Nice to have: document parsing systems, including extraction from PDFs, structured/unstructured data sources, and handling diverse file formats. 

• Experience with Docker, Kubernetes and Istio. 

• Experience with Ansible. 

• Experience with CI/CD pipelines using Spinnaker and/or GitHub 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. GitHub Copilot) and knowledge of latest Generative AI model capabilities