Data Engineer - AI

Data Engineer with AI

Location: Richmond, VA,

Duration: 12 Months + Extension

Bill Rate: $95/hr on C2C

Job Type: C2C/1099 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description:

• 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