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Axle Informatics

AI Engineer II

Axle Informatics

. Architect, develop, and maintain AI-powered applications in Python, including conversational assistants, agentic tools, and retrieval-augmented generation (RAG) systems.

Posted 4/20/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $120,000 - $150,000 per yearWebsite

Tech Stack

Tools & technologies
CloudDockerKubernetesLinuxPostgresPython

About the role

Key responsibilities & impact
  • Architect, develop, and maintain AI-powered applications in Python, including conversational assistants, agentic tools, and retrieval-augmented generation (RAG) systems.
  • Design and optimize retrieval pipelines: embedding generation, vector search, hybrid search, and reranking against large domain-specific corpora.
  • Build document ingestion and parsing pipelines that extract structured content (text, tables, figures, citations) from scientific and technical documents for downstream use by AI systems.
  • Integrate structured knowledge — ontologies, controlled vocabularies, and knowledge graphs — with unstructured text to produce evidence-grounded, provenance-aware AI outputs.
  • Develop and operate shared platform services that accelerate delivery of new AI applications: model gateways, agent-tool integrations, authentication, API key management, and observability.
  • Lead technical design decisions and establish best practices for code quality, testing, evaluation, and deployment of AI systems.
  • Provision, deploy, monitor, and troubleshoot services on Kubernetes and cloud infrastructure, including container builds, manifests, and CI/CD pipelines.
  • Design and maintain relational and vector databases, including schema design, indexing, migrations, and incremental data updates.
  • Define and track quality metrics for AI systems (retrieval quality, answer faithfulness, latency, cost) and drive measurable improvements over time.
  • Engage directly with non-technical clients to gather requirements, clarify goals, manage expectations, and validate that delivered solutions align with their objectives.
  • Translate high-level client and mission needs into actionable technical specifications and development plans.
  • Mentor junior engineers and contribute to a culture of technical excellence.
  • Participate in and help facilitate standups, sprint planning, and cross-team review meetings across multiple project streams.

Requirements

What you’ll need
  • 5+ years of professional experience in software development, with recent hands-on work building AI or ML-powered applications.
  • Strong proficiency in Python for application development, scripting, and tooling.
  • Demonstrated experience building retrieval-augmented generation (RAG) systems, including embeddings, vector search, and reranking.
  • Experience integrating large language models (LLMs) into production applications using modern agent or orchestration frameworks.
  • Experience with vector databases and semantic search.
  • Demonstrated experience making architectural decisions and owning technical direction for software projects.
  • Experience with Docker, containerization workflows, and Kubernetes for deploying and operating production services.
  • Experience with PostgreSQL and relational database design.
  • Strong command of Linux development environments.
  • Experience with Git/GitHub workflows, including branching, pull requests, and code review practices.
  • Proven ability to work independently, prioritize across concurrent workstreams, and drive projects to completion with minimal oversight.

Benefits

Comp & perks
  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off and Paid Holidays
  • 401K match up to 5%
  • Educational Benefits for Career Growth
  • Employee Referral Bonus
  • Flexible Spending Accounts:
  • Healthcare (FSA)
  • Parking Reimbursement Account (PRK)
  • Dependent Care Assistant Program (DCAP)
  • Transportation Reimbursement Account (TRN)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Pythonretrieval-augmented generation (RAG)embedding generationvector searchhybrid searchrerankingdocument ingestionknowledge graphsrelational databasessemantic search
Soft Skills
leadershipcommunicationmentoringproject managementclient engagementtechnical designcollaborationproblem-solvingprioritizationindependence