> Markdown version of [/jobs/ext/4546668-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4546668-senior-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior AI Engineer

- **Company:** N-IX Partners Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, JavaScript (Programming Language), Agile Methodology, Artificial Intelligence, Automation of Tests, Microsoft Azure, Cloud Computing, Computer Programming, Continuous Integration, Information Engineering, DevOps, Github, Python (Programming Language), Machine Learning, Message Broker, SQL Azure, Scrum Methodology, Azure Machine Learning, Software Engineering, TypeScript, Data Storage Management, LangChain, Large Language Models, Grafana, Multi-Agent Systems, Prompt Engineering, Technical Debt, Generative AI, AI Coding Agents, Backend, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, Kubernetes, Information Technology, Cosmos DB, Azure AKS, Machine Learning Operations, Terraform, Software Version Control, Data Pipelines, GXP, Atlassian Bamboo, Docker
- **Published:** November 3, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pwo76eoaer

## About the Role

* 6+ years of professional backend software engineering, with at least 2+ years dedicated to building, deploying, and maintaining production applications using LLMs and GenAI
 * Agile thinker, able to work with evolving and underspecified requirements
 * Proven ability to deliver software in complex, fast-moving environments.
 * Strong programming skills and experience building production software systems.
 * Experience with LLMs, generative AI, or modern AI engineering (including prompt engineering, LLM APIs, LLMOps / MLOps, or agentic frameworks).
 * Enthusiasm for and comfort with the rapid changes happening in software engineering driven by AI - including AI-assisted development tools and evolving engineering practices.
 * Proven ability to mentor and support others, to 'see the bigger picture', and make pragmatic engineering trade-offs.
 * A desire to make a meaningful difference - our mission is to improve access to mental health care.
 * An interest in working with data and understanding how AI systems can be safely and effectively deployed in clinical contexts
 * Strong understanding of version control, security best practices, and Agile methodologies
 * Strong Agile delivery experience with focus on speed and quality
 * Startup mindset: adaptable, fast-moving, pragmatic
 * Result-oriented mindset with ownership mentality
 * Exceptional verbal and written English communication skills; proven track record presenting technical designs, trade-offs, and leading conversations with client stakeholders
 * Able to work independently and as part of a team
 * Proactive, responsive, and dependable with strong ownership mindset

Technical Stack/Tools:

 * AI Orchestration & Ops: LangChain, LangGraph, Langfuse
 * Programming Languages: Python, TypeScript/JavaScript
 * Cloud & Infrastructure: Azure, Kubernetes (AKS), Docker, Terraform
 * Data & Storage: Azure SQL, Cosmos DB, Blob Storage, Azure Storage
 * DevOps, Infrastructure & CI/CD: Azure DevOps, GitHub, Azure Pipelines, Docker, Kubernetes, Terraform, Grafana

Nice to have:

 * Experience building or working with coding agents or AI-assisted development tooling.
 * Experience with Azure cloud services, including Azure ML, Azure Kubernetes Service (AKS), or Azure DevOps.
 * Experience with message broker systems and real-time data pipelines.
 * Experience working in a regulated environment (e.g. healthcare, finance, or with HIPAA and GDPR).
 * Experience delivering software in a research or clinical environment.
 * BSc or higher in Computer Science, Mathematics, or a related field.
 * Testing and test automation experience
 * Data engineering experience

## Description

* Design, build, and maintain agentic AI systems, including multi-agent orchestration frameworks (e.g. LangGraph) for digital therapy product
 * Lead the migration of conversational AI bot architecture from legacy frameworks to modern agentic frameworks, improving developer velocity and feature extensibility.
 * Develop and maintain fast inference service integrations to reduce end-to-end message latency and enable more responsive AI-powered interactions.
 * Work closely with AI scientists and researchers to translate research prototypes into robust, production-grade software.
 * Monitor AI models in production - build telemetry and observability tooling to ensure reliability and quality.
 * Disseminate and instil good engineering practice, whilst able to work effectively alongside scientists who may be less focused on engineering rigour.
 * Manage and mentor other engineers, supporting their technical growth and development.
 * Stay current with developments in AI engineering - particularly around LLMs, agentic systems, and LLMOps - and advocate for their adoption where they can meaningfully improve our platform or engineering processes.
 * Work effectively in a cross-functional team, collaborating closely with Product, QA, DevOps, Data, AI, and Engineering stakeholders
 * Communicate confidently in a multinational environment with business, engineering, marketing, and clinical stakeholders when needed
 * Participate fully in Agile/Scrum ceremonies and contribute to continuous improvement
 * Troubleshoot complex issues, perform root-cause analysis, and investigate new tools and approaches
 * Identify delivery bottlenecks, technical risks, and improvement opportunities proactively
 * Help balance delivery speed, quality, scalability, maintainability, and technical debt across initiative