Senior AI Engineer

Arkham Technologies

. Build and evolve Arkham’s in-platform LLM application for enterprise users to explore data, perform analysis, and inform business decisions .

Posted 10/7/2026full-timeMexico City • MexicoSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python development, backend system design, and AI application integration, with a strong focus on building reliable services and improving system performance. Proven ability to manage the full software development lifecycle, from design to deployment and maintenance.

Highest-signal resume keywords

Python DevelopmentBackend System DesignAPI DevelopmentAgentic WorkflowsAI System Integration

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Hard Skills

PythonBackend DevelopmentAPI DesignAsynchronous WorkflowsTestingDebuggingVersion ControlObservabilityError HandlingAutomated Testing

Soft Skills

CollaborationCommunication

Tools & Technologies

CI PipelinesMonitoring ToolsDeveloper ToolsRetrieval-Augmented GenerationDocument Processing

Industry Keywords

AI ArchitectureProduction SystemsData IsolationModel QualityLatencyCost Management

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Build and evolve Arkham’s in-platform LLM application for enterprise users to explore data, perform analysis, and inform business decisions
Develop internal agentic frameworks and tools supporting code development, testing, review, and CI pipelines
Design backend services, APIs, and infrastructure supporting AI applications and agent execution
Build agentic workflows with tool integration, state management, and failure recovery
Establish evaluations and automated testing to measure quality and prevent regressions
Own deployment, monitoring, debugging, and ongoing improvement of production systems
Improve reliability, latency, and cost across models, tools, and backend services
Partner with engineering and product to define technical approaches and establish reusable AI development patterns
Shape Arkham’s AI architecture and own systems from design through production maintenance

Requirements

What you’ll need

3+ years of professional Python development experience, with a proven track record of shipping and maintaining production applications
2+ years of experience designing and building backend systems, including APIs, databases, and asynchronous workflows
Strong software engineering fundamentals, including testing, debugging, version control, and code reviews
Experience building reliable services with clear observability, error handling, and monitoring
Proven ability to own systems from technical design through deployment and production maintenance
Ability to turn ambiguous requirements into practical technical decisions and working software
Strong collaboration and communication skills, with the ability to explain architectural decisions and their tradeoffs
Hands-on experience developing agentic workflows and execution loops, including tool calling, state management, and failure recovery
Experience integrating LLMs into applications, including structured outputs, context management, and external tools or data sources
Experience designing evaluations to measure AI system quality and catch regressions
Experience with retrieval-augmented generation (RAG), search, and document processing
Experience implementing permissions, data isolation, and safeguards for AI systems that take actions
Understanding of the tradeoffs between model quality, latency, and cost
Experience building developer tools or automating parts of the software development lifecycle