AI Engineer II

Mitratech
Denver, CO, United States
about 1 month ago
Apply on job-boards.greenhouse.io
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$125,000.0 - $145,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Databases Continuous Integration Data Warehousing Amazon DynamoDB Github Python (Programming Language) Key Management PostgreSQL MongoDB NoSQL
+15 more
OAuth Operational Databases Redis Webui Software Engineering SQLAlchemy TypeScript ReactJS Large Language Models Snowflake Fastapi Pytest Front End Software Development Api Gateway Docker

Job description

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., 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

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

Benefits & conditions

Remote Hiring Remotely in US 125K-145K Annually Mid level Remote Hiring Remotely in US 125K-145K Annually Mid level Build and operate intelligent agent systems on an AWS-native GenAI platform. Implement AI-enabled features and RAG/agent workflows, design and deploy small services, maintain CI/CD, participate in on-call support, contribute to design reviews, mentor junior AI engineers, and collaborate with product, data, and platform teams. The summary above was generated by AI, 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, Remote or Hybrid Easy Apply 131K-198K Annually Senior level 131K-198K Annually Senior level Artificial Intelligence * Cloud * Computer Vision * Hardware * Internet of Things * Software Design and build scalable AI platform capabilities to enable multi-step GenAI workflows, model execution, and integrations. Implement backend services, execution infrastructure, APIs, and observability to support production GenAI experiences across sales and product teams. Collaborate with AI engineers, data scientists, and product partners to turn AI use cases into reliable, extensible platform features. Top Skills: GenaiGoGongJavaLangchainLlmsMcpOpenai SdkOutreachPythonRetrieval SystemsSalesforceStreaming Voice/Chat PipelinesVector Databases Life360, 148K-217K Annually Senior level 148K-217K Annually Senior level Kids + Family * Mobile Design, build, and maintain scalable distributed data pipelines and a secure data lakehouse for streaming and batch processing to support real-time analytics, ML, and experimentation. Automate, test, and harden workflows, architect logical and physical data models, build ML model features, and collaborate with product, analytics, and data science teams to turn data into value. Top Skills: AirflowAWSAzureBigQueryDabsData LakehouseDatabricksDatabricks WorkflowsDbtGCPGithub ActionsLlmsPrestoPythonSnowflakeSparkSQLTerraformTrino Microsoft, In-Office or Remote United States 102K-261K Annually Senior level 102K-261K Annually Senior level Software * Quantum Computing * Metaverse * Infrastructure as a Service (IaaS) Design and implement AI compiler features and optimization passes, using LLVM/MLIR and related tools. Develop code generation for new hardware, optimize AI workloads, and build AI software in C++ and Python. Collaborate with hardware architects and ML developers, define requirements, estimate effort, and drive coding standards and adoption. Top Skills: Ai FrameworksAi Inference SystemsCC++LlvmMaia-200MlirPythonTorch DynamoTriton

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

About the company

At Mitratech, we are a team of innovators focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.

For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.

As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on job-boards.greenhouse.io
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:49 min

Adopting OAuth best practices and removing outdated grants

Alexander Schwartz Alexander Schwartz · World Congress 2026 Europe

3:55 min

Demonstrating semantic routing thresholds with the Redis vector library

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

1:34 min

Analyzing vulnerabilities in standard OAuth 2.0 authorization flows

Alexander Schwartz Alexander Schwartz · World Congress 2026 Europe

3:42 min

Comparing in-memory and Redis storage for cache scalability

Simone Sanfratello · World Congress 2022

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all