Sr. API Engineer
- Hiring from
- United States
- Work type
- Remote
- Posted
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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.
The successful candidate will be a hands-on Python backend engineer with strong experience 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, along with familiarity with emerging AI integration patterns, including LLMs, retrieval-augmented generation (RAG), and Model Context Protocol (MCP).
The Engineer will work collaboratively 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 a U.S. Citizen with the ability to obtain and maintain a government suitability clearance.
Required Qualifications
The successful candidate will be a hands-on Python backend engineer with strong experience 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, along with familiarity with emerging AI integration patterns, including LLMs, retrieval-augmented generation (RAG), and Model Context Protocol (MCP).
The Engineer will work collaboratively 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 a U.S. Citizen with the ability to obtain and maintain a government suitability clearance.
Required Qualifications
- 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 API’s within the 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.
- Experience supporting federal agencies.
- Experience with vector databases (e.g. pgvector).
- AWS certifications in Data Engineering, Solutions Architecture, Machine Learning, or Generative AI.
- Experience with Agile, DevSecOps, and CI/CD practices.
