AI Engineer / Research Scientist (Senior, Staff), Explainable AI

Seekr's Mission:

Seekr builds trusted AI for mission-critical decisions. Our platform helps

organizations build, govern, and deploy secure, explainable AI rooted in their

own data across cloud, on-premises, edge, and air-gapped environments. We care

deeply about transparency, auditability, and defensibility because high-stakes

AI is only useful when people can understand and trust how it behaves.

About the Opportunity:

The first wave of AI was about scale. The frontier now is reliable AI: systems

that are not only capable, but understandable, testable, and dependable in real

decisions. At Seekr, explainability is not a reporting layer added after

deployment; it is a core product and research problem spanning attribution and

interpretability, observability, and contestability. This role sits directly in

that high-impact space, helping turn state-of-the-art ideas into production

capabilities customers can trust.

We are open to candidates from either research scientist or engineering

backgrounds. Success in this role requires strength in one domain, and working

proficiency in the other.

What You’ll Do

• * 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.
• * 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.

What We’re Looking For

• * Strong background in machine learning and modern AI systems, including
• LLM/VLMs, agent frameworks, RAG, or adjacent applied ML systems.
• * 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.
• * Strong Python and software engineering fundamentals, with comfort in testing,
• code review, CI/CD, debugging, and performance analysis.
• * Clear communication and strong collaboration across technical and
• non-technical partners.
• * Reside near Austin, TX or Reston, VA and able to work 3 days per week in
• office
• Preferred Qualifications, Research Scientist-Leaning Candidates:
• * Master’s or PhD in computer science, machine learning, AI, statistics, or a
• related field preferred.
• * Experience in explainable and interpretable AI, such as feature attribution
• methods like LIME and SHAP, example- or influence-based attribution, or
• mechanistic interpretability.
• * Track record of original technical work, such as publications, patents,
• open-source contributions, or research that materially shaped shipped
• systems.
• Preferred Qualifications, Engineer-Leaning Candidates:
• * Experience designing end-to-end AI systems from data preparation and
• evaluation through serving, deployment, monitoring, and iteration.
• * Experience with inference and serving stacks such as vLLM, SGLang, or similar
• systems.
• * Experience optimizing model serving for latency, throughput, batching,
• caching, memory efficiency, quantization, and cost/performance tradeoffs.
• * Experience with API/SDK development and building usable platform abstractions
• for other developers.
• * Experience with Kubernetes-based deployment, CI/CD, and GitOps workflows such
• as Argo CD.
• * Experience working with GPU/accelerator environments, containerized ML
• workloads, and production performance tuning; experience with custom
• GPU/accelerator kernels for AI workload optimization is a plus.
• * Experience with database and retrieval system design, including relational
• stores, vector databases, and RAG architectures.
• * Experience with experiment tracking, model/data versioning, evaluation
• pipelines, observability, and diagnosing production issues in AI systems.

Nice to Have

• * Experience designing AI systems with human oversight, review, approval, or
• override workflows.
• * Familiarity with governance, provenance, security, and auditability
• requirements for enterprise or government AI.
• * Experience deploying AI across cloud, on-prem, edge, or air-gapped
• environments.
• Why This Role Matters:
• Explainability is becoming infrastructure, not a side feature. As AI moves
• deeper into operational, regulated, and business-critical workflows, the systems
• that win will be the ones people can interrogate, validate, and defend. This
• role is a chance to help define that standard at a company built around trusted
• AI from the start.
• About the Company:
• Seekr is a leader in explainable and trustworthy artificial intelligence
• designed to power mission-critical decisions in enterprises, government, and
• regulated industries. SeekrFlow™, our end-to-end AI platform, provides secure,
• auditable AI solutions tailored to sectors where transparency, accuracy, and
• compliance are paramount. Available across cloud, on-premises, and edge
• environments, SeekrFlow reduces bias, strengthens data integrity, and simplifies
• model oversight so organizations can rely on trusted AI decisions in high-stakes
• settings that impact society’s most sensitive and vital systems. Trusted by
• leading enterprises and government agencies, we partner with defense, finance,
• telecom, and critical infrastructure leaders to enable AI solutions that drive
• real-world results with unmatched transparency and control. We are a team of
• strategic thinkers and problem-solvers tackling the toughest challenges facing
• critical infrastructure and global enterprises through best-in-class AI models
• and customer deployment. Our team operates with unwavering commitment to our
• core values and mission:
• * We are driven by outcomes—our customers' success is what we strive for every
• day.
• * We believe trust is earned, which is why we build explainability and
• transparency into the entire AI lifecycle.
• * We take our responsibility to deliver secure AI seriously.
• * We believe innovation drives progress—we are building the technologies that
• power the systems our society depends on.
• Company

Benefits

* 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.

* 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.