Mitratech Holdings Inc

AI Engineer II

Mitratech Holdings Inc$125K — $145K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-5 years of software engineering experience with LLM or AI-enabled features
  • Proficient in Python (async patterns), FastAPI, Pydantic v2, and pytest
  • Experience with AWS services like Bedrock, Lambda, ECS, and API Gateway
  • Production experience with LLMs and building RAG/agent features
  • Hands-on with production data layers using Redis, DynamoDB, and Postgres/Aurora
  • Knowledge of identity and app-security fundamentals (JWT/OAuth)
  • Experience in containerized delivery (Docker/ECS) and CI/CD (GitHub Actions)

Responsibilities

  • Implement AI-enabled features and workflows with senior design support
  • Design, build, test, and deploy small services while maintaining CI/CD pipelines
  • Participate in on-call support for owned components and troubleshoot issues
  • Contribute to design reviews and suggest process improvements
  • Mentor junior AI Engineer I teammates
  • Collaborate with product, data, and platform teams to deliver solutions

Benefits

  • Health, Dental & Vision Insurance
  • 401 (k) with Employer Match
  • Open PTO with 11 Paid Holidays and 4 Annual Paid Global Wellness Days Off
  • Short-term and Long-term Disability Insurance and Group Life Insurance
  • Paid Parental Leave
  • Pet Insurance
  • Flexible Spending Account (FSA) and Health Savings Account (HSA) options
  • Employee Assistance Program
Full Job Description
Job Overview

We're hiring an AI Engineer II to help build and operate intelligent agent systems on our AWS-native GenAI platform. You'll implement AI-enabled features and agent workflows, own small services end-to-end within the team, and deepen your skills in the agent tooling (MCP, LangChain/LangGraph) and platform practices that power them. You'll work independently on well-scoped problems and partner with senior engineers on complex design.

Essential Duties & Responsibilities:

- Implement AI-enabled features and simple RAG/agent workflows, with senior guidance on complex design

- Design, build, test, and deploy small services within the team, and maintain their CI/CD pipelines

- Participate in on-call for the components you own; diagnose and fix issues

- Contribute to design reviews and propose team process improvements

- Mentor AI Engineer I teammates

- Collaborate with product, data, and platform teams to deliver scoped solutions

Requirements & Skills:

- 3-5 years of software engineering experience, including some hands-on work with LLM or AI-enabled features

- Working Python (async patterns), FastAPI, Pydantic v2, and pytest

- Comfortable building and deploying services on AWS (Bedrock, Lambda, ECS, API Gateway, and related services)

- Production experience consuming LLMs (Claude via Amazon Bedrock or the Anthropic API) and building basic RAG/agent features

- Working experience with a production data layer (Redis, DynamoDB, Postgres/Aurora) via async SQLAlchemy

- Identity and app-security fundamentals (JWT/OAuth, secrets management)

- Containerized delivery (Docker/ECS) through CI/CD (GitHub Actions)

- Comfort in an ambiguous, fast-moving environment with evolving requirements

Nice to have:

- Data warehouse engineering (Snowflake)

- NoSQL / document databases (MongoDB)

- Frontend / web UI development (React 19, TypeScript) - used in the platform but not expected for this role

We will disclose intended pay ranges in our job ads for US-based opportunities - This role can be performed 100% remote anywhere in the US. Anticipated Pay Range: $125K - $145K Annually USD

Total compensation includes US employee benefits and annual bonus eligibility.

Benefits we offer:
  • Health, Dental & Vision Insurance *
  • 401 (k) + Employer Match *
  • Open PTO + 11 Paid Holidays + 4 Annual Paid Global Wellness Days Off
  • STD, LTD & Group Life Insurance
  • Paid Parental Leave
  • Pet Insurance
  • FSA & HSA Options
  • Employee Assistance Program

Perks we offer:
  • Remote Work
  • Career Advancement & Professional Development Opportunities
  • Employee Recognition
  • LinkedIn Learning Platform

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