Senior AI/ML Engineer

Role overview

Responsibilities

• check_circle Operate, scale, and optimize production GPU environments supporting AI workloads, including inference/model serving, OCR and vision models, embeddings, and large-scale document ingestion.
• check_circle Lead the design and implementation of production AI/ML services that support intelligent search, classification, retrieval, and natural language interfaces for subsurface and E&P data.
• check_circle Own technical architecture for core platform components, including retrieval systems, orchestration, model serving, and data pipelines, while balancing reliability, cost, security, and delivery speed.
• check_circle Build, maintain, and optimize retrieval systems using relational databases, full-text search, and search or analytics platforms such as Elasticsearch/OpenSearch.
• check_circle Develop and maintain RAG-style pipelines, including embeddings, vector search, hybrid retrieval, reranking, grounding, and evaluation against real customer workflows.
• check_circle Integrate LLM APIs and agentic tooling into end-to-end applications, including prompt design, tool/function calling, evaluation, and production guardrails.
• check_circle Support deployment, observability, alerting, incident response, and CI/CD practices across on-premises and cloud environments.
• check_circle Partner with product leaders, business stakeholders, data experts, and domain specialists to translate ambiguous problems into clear technical plans, milestones, and measurable outcomes.
• check_circle Establish and uphold engineering standards for code review, testing, documentation, design reviews, and operational excellence.
• check_circle Mentor and provide technical guidance to engineers as the platform evolves.

Basic qualifications

• Bachelor’s degree in computer science, Engineering, Data Science, or a related field, or equivalent practical experience.
• 5+ years of professional software engineering experience, including 3+ years building and operating ML/AI-enabled applications in production.
• Demonstrated experience designing and supporting end-to-end services, including APIs, data pipelines, model integration, observability, deployment, and operations.
• Hands-on experience delivering search or information retrieval features, including full-text search, ranking/relevance, indexing strategy, and performance optimization.
• Experience working in cloud environments and shipping containerized services using CI/CD practices.
• Strong English communication skills, both oral and written, are required.

Preferred qualifications

• Oil and gas industry experience or domain knowledge, including well data, seismic data, or regulatory documents.
• Experience with GPU-accelerated workloads and the NVIDIA ecosystem.
• Background in OCR pipelines and large-scale document processing.
• Familiarity with vision-language models for document understanding.
• Experience with agent-to-agent or multi-agent AI system patterns.
• Patent, publication, or conference presentation experience in ML/AI.

Benefits

• check_circle This is a full-time position. As a full-time position, the Senior AI/ML Engineer is eligible to participate in benefits coverage offered to Katalyst employees based on geographical location.

About the company