Sr. API Engineer

Anika Systems•Leesburg, VA
•Remote

About The Position

Anika Systems is seeking an experienced Senior API Engineer to develop, maintain, and enhance an enterprise Semantic Layer supporting data access, analytics, and AI-enabled applications for a federal client. This is a hands-on Python backend engineering role focused on designing and implementing secure, scalable APIs, integrating enterprise data sources, and supporting cloud-based services on AWS. The role requires an understanding of data modeling, metadata, and semantic data integration, as well as familiarity with emerging AI integration patterns, including LLMs, retrieval-augmented generation (RAG), and Model Context Protocol (MCP). The Engineer will collaborate with data architects, AI engineers, and business stakeholders to ensure the Semantic Layer provides reliable, consistent, and governed access to enterprise information. This position is 100% remote. Candidates must be U.S. citizens and able to obtain and maintain a government suitability clearance.

Requirements

  • Bachelor’s degree in a related field or equivalent experience.
  • 8+ years of experience in data architecture, data engineering, or enterprise data management.
  • Experience developing and maintaining secure APIs within AWS API Gateway.
  • Expertise in data modeling, data integration, metadata management, governance, and AWS-based data platforms.
  • Strong hands-on experience with Python, SQL, APIs, and serverless architectures.
  • Experience implementing LLMs, RAG solutions, AI agents, MCP integrations, and AI evaluation methodologies.
  • Knowledge of vector databases, embeddings, semantic search, and enterprise knowledge retrieval.
  • U.S. citizenship and ability to obtain and maintain a government suitability clearance.

Nice To Haves

  • Experience supporting federal agencies.
  • Experience with vector databases such as pgvector.
  • AWS certifications in Data Engineering, Solutions Architecture, Machine Learning, or Generative AI.
  • Experience with Agile, DevSecOps, and CI/CD practices.

Responsibilities

  • Develop, maintain, and enhance an enterprise Semantic Layer supporting data access, analytics, and AI-enabled applications.
  • Design and implement secure, scalable APIs.
  • Integrate enterprise data sources.
  • Support cloud-based services on AWS.
  • Collaborate with data architects, AI engineers, and business stakeholders.
  • Help ensure reliable, consistent, and governed access to enterprise information through the Semantic Layer.
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