AI Engineer

Umain

. Partner with clients to clarify challenges, assess whether AI is appropriate, and evaluate feasibility and risks .

Posted 10/8/2026full-timeChicago • Illinois • United StatesSeniorLead💰 $130,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying AI-powered applications, with a strong focus on integrating and fine-tuning models from leading AI providers. Proven ability to lead project delivery, collaborate in multidisciplinary teams, and apply advanced engineering practices in cloud environments.

Highest-signal resume keywords

AI-Powered Systems DevelopmentLLM Integration and Fine-TuningTypeScript and Python ProgrammingCloud Infrastructure Deployment (Azure, GCP, AWS)DevOps Practices (Docker, CI/CD)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI-Powered ApplicationsLLMsEmbeddingsPrompt EngineeringContext EngineeringModel EvaluationData PipelinesSoftware EngineeringScalable ApplicationsMachine Learning

Soft Skills

Strong Communication SkillsCuriosity About AI CapabilitiesPragmatic JudgmentProblem-Solving

Tools & Technologies

AzureGCPAWSDockerCI/CDOpenAIAnthropicGoogle GeminiMeta ModelsAgent Frameworks

Industry Keywords

AI SolutionsClient-Facing EnvironmentsConsultancyMultidisciplinary TeamsEmerging AI Capabilities

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformPythonTypeScript

About the role

Key responsibilities & impact

Partner with clients to clarify challenges, assess whether AI is appropriate, and evaluate feasibility and risks
Design, prototype, build, and ship AI-powered applications, workflows, and agents
Architect agentic systems with context management, memory, orchestration, tools, skills, and MCP integrations
Select, integrate, adapt, and fine-tune foundation models from OpenAI, Anthropic, Google, and others
Design architectures and user experiences around model limitations
Apply retrieval, chunking, embeddings, and redlining techniques; debug AI systems
Build evaluation and observability into shipped systems
Use stochastic test cases, trace-based analysis, and benchmarking tools to monitor models, prompts, and agents
Build software, data pipelines, and cloud infrastructure in Azure, GCP, or AWS
Own parts of project delivery and lead client and internal workshops
Join pitches as an AI expert and shape proposals and RFP responses
Help define Umain’s AI offerings through frameworks, playbooks, knowledge sessions, and engineering standards

Requirements

What you’ll need

Approximately 8 years engineering experience, including at least 4 years building AI-powered systems, or equivalent hands-on experience shipping AI in production systems
Hands-on experience with LLMs, embeddings, vector databases, prompt and context engineering, retrieval setups, fine-tuning, and model evaluation
Experience building agents with memory, tool use, orchestration, and at least one modern agent framework
Experience integrating OpenAI, Azure OpenAI, Anthropic, Google Gemini, and Meta models
Strong software engineering skills in TypeScript and/or Python, including backend systems and data pipelines
Frontend or backend experience outside the traditional AI field and ability to build end to end
Proven experience deploying and running scalable applications in Azure, GCP, or AWS
Experience with Docker, CI/CD, and modern DevOps practices
Track record of delivering AI solutions in production
Pragmatic judgment about when AI is appropriate
Ability to turn vague questions into concrete technical solutions
Strong communication skills and comfort working in multidisciplinary teams
Curiosity about emerging AI capabilities and enthusiasm for exploring new approaches
Experience with machine learning, computer vision, generative images, and/or multimodal models (nice-to-have)
Experience in consultancy or client-facing environments (nice-to-have)
Must be in Chicago or willing to relocate
Minimum 3 days in-office per week

Benefits

Comp & perks

Fully subsidized insurance premiums for employees and their families
Flexible time off
Minimum of 3 weeks off per year
Encouraged vacation in 2-week increments
Inclusive decision-making, collaboration, and continuous learning culture