Senior AI Engineer / Research Scientist, Explainable AI

Seekr Technologies

AI Engineer/Research Scientist developing explainable AI and evaluation frameworks at Seekr. Designing explainability capabilities that enhance users' understanding of AI outputs and model behavior.

Posted 4/28/2026full-timeAustin • Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design and build explainability capabilities that help users understand why a model or agent produced a given output and what training data, retrieved documents, tools, agent interactions, or internal model mechanisms influenced that result.
Build evaluation frameworks for explanation quality across dimensions such as faithfulness, sufficiency, consistency, and plausibility of explanations.
Design and build contestability capabilities that enable users to challenge AI outputs, capture corrective feedback, and turn contested results into data that improves systems over time.
Work on adjacent high-impact areas such as hallucination detection and mitigation, and continual-learning agents that can learn from explainability signals and contested outputs.
Translate and synthesize promising ideas from current literature into prototypes, and translate validated prototypes into production-grade features.
Contribute across the AI system lifecycle where needed, including model development, inference, deployment, and monitoring.
Partner with product, design, and customer-facing teams to make explainability useful in real workflows, not just technically interesting.
Use AI coding assistants effectively and reliably as part of a modern engineering workflow while maintaining strong judgment and code quality.

Requirements

What you’ll need

Strong background in machine learning and modern AI systems, including LLM/VLMs, agent frameworks, RAG, or adjacent applied ML systems.
Strong Python and software engineering fundamentals, with comfort in testing, code review, CI/CD, debugging, and performance analysis.
Ability to move comfortably between research and engineering.
Scientists here should be able to write production-grade code when needed; engineers here should be able to prototype and pressure-test systems inspired by state-of-the-art papers.
Experience designing experiments and evaluating ambiguous technical tradeoffs.
Fluency with AI coding assistants and the modern developer workflows they enable.
Clear communication and strong collaboration across technical and non-technical partners.

Benefits

Comp & perks

Meaningful Mission & Impact - Work with a deeply talented, collaborative team solving some of the toughest AI challenges that matter.
Equity Ownership – RSUs that let you share directly in Seekr’s long‑term success and growth.
Time Off That Respects Real Life – Unlimited PTO plus 14 paid company holidays to truly recharge.
Work Your Way – A flexible hybrid work environment with offices in Reston, VA and Austin, TX, plus remote options and flexible working hours.
Competitive Total Rewards – A role‑appropriate compensation structure that supports long‑term growth, including base salary, bonuses, or commission plans depending on role.
401(k) with Company Match – Build your future with a retirement plan that includes employer matching.
Comprehensive Health & Wellness – Medical, dental, vision, and life insurance coverage starting day one—for you and your family.
Parental Leave – Paid parental leave to support employees as they welcome a new child through birth, adoption, or foster placement.

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Hard Skills & Tools

machine learningAI systemsPythonsoftware engineeringtestingcode reviewCI/CDdebuggingperformance analysisexperiment design

Soft Skills

clear communicationcollaborationjudgmentprototypingpressure-testingadaptabilitysynthesis of ideasfeedback captureproblem-solvinginterdisciplinary teamwork