Senior AI Software Engineer, TechEx, US

What You’ll Do

• Design, build, and deploy full-stack applications and distributed systems
• Develop APIs, integrations, data pipelines, and cloud-native applications
• Build AI-enabled features including intelligent agents, copilots, workflow automation, and LLM-powered experiences
• Develop prompting and orchestration strategies for models such as GPT, Claude, and Gemini
• Integrate AI capabilities into existing platforms and engineering workflows
• Collaborate directly with clients to translate business needs into technical solutions
• Deliver scalable, secure, and maintainable solutions across AWS, Azure, and GCP
• Contribute to architecture, code reviews, mentoring, and engineering best practices
• Operate in Agile teams with a strong focus on shipping high-quality software

Qualifications

• 5+ years of software engineering experience
• 1+ years of experience building and deploying AI-enabled products or features in production environments
• Strong foundation in computer science fundamentals, system design, and object-oriented programming
• Experience building production systems using modern backend and frontend technologies
• Experience with cloud platforms such as AWS, Azure, or GCP
• Experience integrating APIs, distributed systems, and enterprise platforms
• Strong communication and client-facing collaboration skills
• Experience integrating AI tools (e.g., ChatGPT) into day-to-day workflows to enhance productivity and insight generation, coupled with strong critical thinking to assess accuracy, mitigate bias, and ensure high-quality outputs

Technical Experience

• Languages: C#, Java, Python, JavaScript/TypeScript
• Frontend: React, Angular, Vue.js
• Backend: APIs, microservices, REST, GraphQL
• Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes, Terraform, CI/CD
• Databases: PostgreSQL, SQL Server, MongoDB
• AI Experience: LLM integration, prompt engineering, agent-based systems, RAG pipelines, AI-enabled development workflows
• Leverage AI tools to accelerate analysis, synthesize complex information, and support data-driven recommendations for clients, exercising sound judgment in evaluating outputs
• Apply AI technologies (e.g., generative AI, automation tools, data models) to enhance insights, improve delivery efficiency, and elevate the quality of client outcomes

Preferred

• Consulting or client delivery experience
• Experience with workflow orchestration tools such as Temporal or Airflow
• Familiarity with Databricks, Snowflake, or modern data platforms
• Experience mentoring engineers and leading technical initiatives

Pay

Based on pay transparency guidelines, the salary range for this role can vary based on your proximity to one of our West Monroe offices:

• Seattle or Washington, D.C. — $125,500–$147,600 USD
• Los Angeles — $131,500–$154,700 USD
• New York City or San Francisco — $137,400–$161,700 USD
• A location not listed above — $119,500–$140,600 USD

Benefits

• Medical, dental, vision, and basic life insurance for employees and their families
• 401k plan
• Employee stock ownership program
• Annual bonuses
• Unlimited flexible time off
• Ten paid holidays throughout the calendar year
• Ten weeks of paid parental leave available upon hire date