Senior AI Engineer: Productionizing LLM Workflows

Axiomatic-AI Inc.; Boston (MA); Hybrid; USD 180,000 - 230,000; Full time

Benefits offered by this job

Competitive compensation

Stock Options Plan

Cutting-Edge Tools

Work-Life Balance

Professional Growth

Impact-Driven Culture

Job summary

Axiomatic_AI is seeking a Senior Applied AI Engineer to bridge AI research and production software, delivering end-to-end LLM-powered features for our hardware-focused product.

You will collaborate with backend engineers, mentor junior developers, and establish workflows from discovery to rollout, emphasizing guardrails, testing, and observability to ensure reliable, scalable AI capabilities.

This hybrid role is based in Boston with flexible options and stock options to share in our growth.

Qualifications

• 7+ years of software engineering experience (Python preferred).
• Experience with LLMs and AI/ML in production: OpenAI API, HuggingFace, LangChain, or similar (beyond prototypes).
• Strong software engineering fundamentals: design patterns, code structure, testing practices, and code review habits.
• Cloud infrastructure experience: GCP (Vertex AI preferred) or AWS (SageMaker).
• API/service development experience (e.g., FastAPI/REST/async programming). CI/CD and DevOps: Docker, Terraform, GitHub Actions.
• Monitoring and observability.
• Problem-solving mindset.
• Operating experience with AI deployment in enterprise environment.
• Proactiveness and versatility: defining and scoping tasks independently and improving processes.

Responsibilities

• Own applied AI features end-to-end: discovery → design → implementation → rollout → iteration.
• Translate user feedback and behaviour into clear technical requirements and pragmatic delivery plans.
• Build LLM workflows such as tool-calling agents, structured output pipelines, retrieval/tool integrations, and safe prompting strategies.
• Iterate quickly while keeping production quality (readability, maintainability, debuggability).
• Select and evaluate LLMs (OpenAI/Anthropic/others) based on real constraints: quality, cost, latency, context limits, and reliability.
• Develop prompt patterns and guardrails (structured prompts, schemas, constraints, fallbacks).
• Design and run lightweight evaluations to prevent regressions (golden datasets, acceptance criteria, failure-mode testing).
• Document model decisions and trade-offs in a way that enables other engineers to execute confidently.
• Write production-grade code: clear abstractions, solid API boundaries, strong typing where appropriate, and consistent error handling.
• Define and enforce testing practices for applied AI (unit tests, integration tests, golden/regression tests).
• Implement instrumentation appropriate for debugging and iteration (basic logging/tracing/metrics for AI features).
• Ensure reliability and security basics: rate limiting where needed, safe input handling, prompt-injection awareness, and sensible defaults.
• Experience in shipping data projects to real users.

Skills

Python

LLMs in prod

OpenAI API

HuggingFace

LangChain

GCP Vertex AI

AWS SageMaker

API development

CI/CD

Docker

Terraform

GitHub Actions

Monitoring

Observability

Problem-solving

Enterprise AI deployment

Proactivity

Tools

FastAPI

Pydantic AI

LangChain

Docker

GitHub Actions

Terraform

Vertex AI

SageMaker

OpenAI API

Job description

Axiomatic_AI is seeking a Senior Applied AI Engineer to bridge AI research and production software, delivering end-to-end LLM-powered features for our hardware-focused product.

You will collaborate with backend engineers, mentor junior developers, and establish workflows from discovery to rollout, emphasizing guardrails, testing, and observability to ensure reliable, scalable AI capabilities.

This hybrid role is based in Boston with flexible options and stock options to share in our growth.