Sr. API Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked just now — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 1d ago
The date the source published, not the day we noticed it (2026-11-02). Last seen at its source just now.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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JazzHR employer's own board first seen just now · last seen just now
The listing
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.