Backend Software engineer

Job Summary

We are looking for an experienced software engineer who can build tools and solutions for AI evaluations, content aggregation, business rule improvements, prompt tuning, and model changes, and serve as a technical liaison with operational product partners.

Location:

Orlando, Florida | Type:
Contract |

Work hours:

9am to 5pm |

Education:

No Degree Required.

$84.00/hr - $88.00/hr

• Work with product partners to design and run experiments for changes to models, prompts, content, retrieval strategies, guardrails, and other variables; track and report metrics using internal tooling and industry-standard AI observability platforms.
• Build or enhance tooling for content gap detection, retrieval diagnostics, prompt evaluation, and automated guardrails to minimize poor/unexpected outputs.
• Help define and monitor key KPIs (precision/recall, MRR/NDCG, answer accuracy, coverage, and latency) and maintain dashboards that reflect quality and reliability over time.
• Investigate and determine root cause for specific search and answer issues in partnership with product and operations.
• Implement fixes directly or coordinate with the appropriate engineering and content teams to mitigate issues and prevent regressions.
• Identify classes of issues, propose product improvements, and design technical solutions to improve relevance, answer quality, and recommendation performance at scale.
• Own triage in a hypercare role after releases: ensure issues are logged, prioritized, assigned, and driven to closure with clear communication and SLAs.
• Document findings, playbooks, and runbooks; create repeatable processes for RCA, experimentation, and hypercare operations.

• Strong software engineering skills in Java and Python; experience building back‑end services, APIs, pipelines, and integrations.
• Hands‑on experience with search technologies and Retrieval‑Augmented Generation (RAG), including vector embeddings, chunking strategies, and prompt building.
• Practical knowledge of when and how to use LLMs to improve efficiency and quality, including prompt design/tuning, guardrails, and fallback strategies.
• Proven root cause analysis (RCA) capabilities and ability to trace issues across data, retrieval, prompts, models, and code.
• Excellent communication, relationship‑building, and cross‑team coordination skills; comfortable serving as a liaison between product operations and engineering.
• Experience with experimentation frameworks and A/B testing, defining success metrics, and interpreting results to drive decisions.
• Familiarity with AI observability and monitoring tools for prompt/model performance, drift detection, and error tracking.
• Proficiency with CI/CD, version control, automated testing, and feature flagging.
• Strong bias for action; able to manage multiple priorities in a fast‑moving environment and follow through from issue detection to mitigation.

Mid‑Senior level

Full‑time

Engineering and Information Technology

IT Services and IT Consulting

Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. Randstad Digital welcomes people of all abilities and will accommodate reasonable accommodations.

Pay offered to a successful candidate will be based on several factors including the candidate’s education, work experience, work location, specific job duties, certifications, etc. Randstad Digital offers a comprehensive benefits package, including medical, prescription, dental, vision, AD&D, life insurance, short‑term disability, and a 401K plan (all benefits are based on eligibility).

For reasonable accommodations, contact

This posting is open for thirty (30) days.