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Staff AI Engineer

Micron Boise, ID

Boise, ID

Today

Full time .NET Agentic Ai Ai Agent

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Job Description

Staff AI Engineer at Micron (Boise, ID, onsite) to build modern AI-first full stack applications and production systems, with a focus on custom AI agents, MCP, and operationalizing AI for manufacturing.

Responsibilities

Own features end-to-end across system design, implementation, testing, observability, deployment, and lifecycle support
Support platform enablement and architecture decisions through code reviews and shared engineering standards
Design, build, test, deploy, and operate full stack software solutions
Collaborate with business teams to translate requirements into scalable solutions
Build and implement Custom AI Agents for workflows such as task automation, decision support, summarization, multi-step reasoning, and guided execution
Demonstrate engineering proficiency using Vibe Coding prototypes in a timely development process
Integrate systems using Model Context Protocol (MCP) to enable structured context sharing between models, tools, and agents
Expose tools and capabilities to LLM-based agents and enable interoperability across AI components without hard-coded integrations
Integrate applications with external and internal AI services including LLMs, embeddings, search, and tools via well-designed APIs
Harden AI components for 24x7 critical physical manufacturing systems with focus on reliability, resiliency, latency, performance, security, permissions, data boundaries, observability, and maintainability
Apply retrieval-augmented generation (RAG) systems within production environments
Use AI-assisted development tools (code generation, refactoring, test creation, documentation), and critically evaluate and refine AI-generated output with human judgment
Conduct requirements gathering and analysis for software domains, interfaces, and characteristics
Write code using programming, scripting, and database languages; support testing, deployment, maintenance, and evolution
Follow guidelines for coding standards, code reviews, source control, build processes, testing, and operations

Requirements

Strong full stack software engineering foundation including object-oriented design, clean code, testing strategies, and long-term maintainability
Experience building and operating production-grade backend or full-stack systems, including API design, service integration, and data persistence
Ability to design and evolve scalable system architectures with tradeoffs across performance, reliability, security, and developer productivity
Experience in cloud-native environments including CI/CD pipelines, containerized deployments, and modern operational practices
Solid understanding of data modeling and storage across relational and non-relational technologies, including selecting the right tool
Track record of owning software end-to-end from design through lifecycle support, collaborating across engineering and business teams
Experience with C#, ASP.NET, Angular, RESTful APIs, SQL and NoSQL databases, and Kubernetes-based platforms
Experience designing and implementing custom AI agents beyond simple chat interfaces
AI-native skills including prompt engineering, Vibe Coding, context window management, and chain-of-thought design
Experience integrating systems using MCP or equivalent structured agent/tool interfaces, including prompt design and tool invocation
Ability to reason about hallucination risk, failure modes, permissions, and guardrails in AI-enabled systems, plus hands-on RAG integration experience

Preferred Qualifications

Experience applying AI-enabled development practices to accelerate engineering workflows and improve productivity
Ability to critically evaluate AI-generated outputs and refine them for production-grade systems
Experience building interoperable AI systems without hard-coded integrations
Strong understanding of operationalizing AI in critical environments with high reliability and performance requirements

Kubernetes / Platform Engineering

Strong interest in Kubernetes and cloud-native infrastructure, including running, upgrading, and troubleshooting production clusters
Desire to deepen expertise in container orchestration, GPU workloads, and platform reliability
Experience designing and running distributed systems on Kubernetes
Understanding of message-driven architectures, horizontal scaling, fault tolerance, and multi-tenant workloads
Help shape a platform roadmap for processing large volumes of data across sites

Technologies

C#, ASP.NET, Angular
RESTful APIs
SQL, NoSQL
Kubernetes
CI/CD pipelines, containerized deployments
Model Context Protocol (MCP)
LLMs, embeddings, search
Retrieval-augmented generation (RAG)
Prompt engineering, Vibe Coding, context window management, chain-of-thought design

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1mo ago

AI Engineer

Chevron Houston, TX

Houston, TX

1mo ago Closed

Full time Backend Developer .NET Agentic Ai

This position is no longer accepting applications (closed Sep 19, 2026).

Job Description

Chevron is seeking an AI Engineer in Houston, TX to modernize data foundations and deliver AI and ML accelerators across the organization.

Design and develop AI and Machine Learning solutions
Design and develop agentic solutions using Microsoft Foundry and Azure Cognitive Services
Build software solutions using Python and/or Typescript and/or C#
Design and implement AI plugins, skills, and MCP servers
Orchestrate large-scale data processing and distributed model training workloads
Collaborate with business and technical stakeholders to identify AI opportunities
Lead cross-functional initiatives and partner with product managers to define requirements
Apply software engineering best practices including testing, source control, architecture reviews, and CI/CD

Requirements

Experience designing, developing, and deploying software solutions (Python preferred)
Experience building AI-enabled applications using machine learning and/or generative AI technologies
Experience with agentic AI frameworks, AI orchestration platforms, or related AI development patterns
Experience developing cloud-native solutions using Microsoft Azure services
Demonstrated software engineering practices: source control, testing, code reviews, and CI/CD
Strong written and verbal communication skills for collaboration across technical and business teams
Demonstrated ability to rapidly learn and apply new technologies, frameworks, and approaches in a fast-changing AI environment

Technology Focus

Microsoft Foundry
Azure Cognitive Services
Python
Typescript
C#
MCP servers
Microsoft Azure
CI/CD

Location

Houston, TX (onsite)

Relocation and International Considerations

Relocation will not be considered
Expatriate assignments will not be considered
Candidates requiring employment visa sponsorship cannot be considered for this position
Candidates on time-limited Visa status cannot be considered for this position

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1mo ago

IT Sr. Analyst, AI Engineer

Patrick Industries, Inc Elkhart, IN

Elkhart, IN

1mo ago Closed

Full time Senior Agentic Ai Ai Engineer

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

Patrick Industries, Inc is seeking an IT Sr. Analyst, AI Engineer to design, develop, deploy, and support enterprise AI solutions and agentic applications. This onsite role in Elkhart, IN focuses on building scalable AI-enabled capabilities and integrations across the organization.

Role Overview

The IT Sr. Analyst, AI Engineer will partner with Product Managers, Platform Engineers, Data Engineers, and business stakeholders to deliver AI-enabled automation and measurable business value. Responsibilities span technical solution design, agentic workflow development, integration engineering, production support, and the creation of reusable frameworks and services.

Responsibilities

Design, develop, test, and deploy AI-enabled applications, agents, and intelligent automation solutions
Own technical solution design for assigned initiatives, translating business requirements into scalable, production-ready applications
Develop agentic workflows, prompt engineering strategies, retrieval-augmented generation solutions, and AI orchestration capabilities
Create reusable frameworks, services, and components to accelerate enterprise AI delivery
Produce technical documentation, design specifications, and engineering standards
Participate in code reviews, design reviews, and architecture discussions to ensure solution quality
Design system components, service boundaries, data flows, integration patterns, and operational workflows
Evaluate architectural alternatives and recommend options based on scalability, performance, reliability, and maintainability
Assess technical trade-offs related to cost, latency, compute utilization, and solution complexity
Design solutions that support enterprise growth, operational efficiency, and long-term sustainability
Collaborate with Platform Engineers and Architects to align with enterprise standards
Identify and proactively address technical risks, dependencies, and architectural concerns
Build integrations between AI platforms and enterprise applications, including ERP, operational systems, and business applications
Develop APIs, services, and automation frameworks that enable intelligent workflows across the organization
Support AI capability implementation across manufacturing, supply chain, finance, HR, and corporate business processes
Ensure integrations are reliable, secure, scalable, and aligned with enterprise architecture standards
Troubleshoot integration challenges and optimize system performance
Collaborate with technical teams to support end-to-end solution delivery
Build data pipelines and supporting infrastructure required for AI applications and intelligent automation
Partner with Data Engineering teams to ensure data quality, availability, governance, and readiness
Design and implement data structures that support AI model performance and business requirements
Support ingestion, transformation, and preparation of enterprise data for AI use cases
Optimize solutions for performance, scalability, and maintainability
Contribute to enterprise AI and data platform standards and best practices
Develop and maintain testing frameworks, evaluation harnesses, and validation processes for AI solutions
Establish monitoring and observability standards for production AI systems
Track application performance, latency, error rates, model behavior, and output quality
Support deployment, stabilization, issue resolution, and ongoing production operations
Implement regression testing and validation processes when models, prompts, or retrieval layers change
Drive continuous improvement of solution reliability, performance, and supportability
Apply DevOps best practices including CI/CD pipelines, source control, automated testing, and release management
Participate in sprint planning, backlog refinement, stand-ups, reviews, and retrospectives
Collaborate with cross-functional teams to deliver prioritized work efficiently and predictably
Provide effort estimates, identify delivery risks, and communicate project status effectively
Support release planning, deployment readiness, and production rollout activities
Continuously improve engineering practices, development tools, and delivery processes
Provide technical guidance and mentorship to engineers and project teams
Promote engineering best practices and high-quality software development standards
Research emerging AI technologies, frameworks, and development approaches
Evaluate new tools and platforms that may enhance enterprise AI capabilities
Recommend improvements that increase platform scalability, developer productivity, and business value
Support advancement of Patrick Industries' AI maturity and digital transformation initiatives

Requirements

Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or related field; equivalent experience may be considered
4+ years of software engineering, AI engineering, data engineering, or related experience
Experience designing, developing, and deploying enterprise software applications and integrations
Hands-on experience building and implementing AI, machine learning, generative AI, or agentic solutions
Strong proficiency with Python, SQL, and JavaScript/TypeScript or similar development technologies
Experience with prompt engineering, retrieval-augmented generation, LLM orchestration, and AI development frameworks
Demonstrated system design and software architecture experience
Experience developing APIs, integrations, and distributed application components
Strong understanding of DevOps practices including CI/CD, source control, automated testing, and release management
Experience working in Agile product development environments
Familiarity with Microsoft Azure, Microsoft Fabric, Microsoft Foundry, Azure DevOps, and Dynamics 365 environments
Knowledge of monitoring, observability, and production support practices for enterprise applications
Experience with MLOps, model deployment, monitoring, and lifecycle management preferred
Experience supporting manufacturing, operations, supply chain, or industrial business environments preferred
Experience integrating enterprise applications, industrial systems, sensors, or operational technologies preferred
Experience in decentralized, multi-site, or acquisition-driven organizations preferred
Exposure to C#, Rust, or KQL is a plus
Strong analytical, communication, collaboration, and problem-solving skills

Technologies

Python
SQL
JavaScript
TypeScript
C#
Rust
KQL
Microsoft Azure
Microsoft Fabric
Microsoft Foundry
Azure DevOps
Dynamics 365

Benefits

Health, Dental, Vision, Life, Insurances
Paid Vacation
401K Match
Holidays
Health Club
Tuition Reimbursement

Location

Elkhart, IN (onsite)

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2mo ago

AI Engineer

Direct Supply Round Lake, IL

Round Lake, IL

2mo ago Closed

Full time Artificial Intelligence Automation C Sharp

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

Direct Supply in Illinois is seeking an AI Engineer to design, ship, and operate AI systems in production across the full product lifecycle. This role involves direct interaction with customers and end-to-end ownership from discovery to deployment, blending hands-on engineering with product-focused outcomes.

Responsibilities

Design, build, and operate AI systems deployed in production environments that customers interact with
Translate unclear business and customer problems into prototypes and technical specifications
Assess AI capabilities and apply them where they deliver clear value
Own the complete application lifecycle from product discovery and experimentation to evaluation, deployment, and monitoring
Own system design decisions, tradeoffs, and long-term scalability and maintainability considerations
Develop codebases that are readable by teammates and other developers; advance tooling across the organization
Collaborate with product managers to enhance product vision, including AI-native solutions

Requirements

Solid foundations in applied AI and software engineering
Autonomous builders who can operate across tech, product, and design thinking
Bias toward shipping quickly, iterating, and incorporating customer feedback over polish
High ownership and initiative — measured by outcomes rather than deliverables
Curiosity to improve systems, products, and personal craft
2+ years of experience in software engineering or applied AI
Experience using AI development tools within full-stack applications
Experience designing AI-based solutions that integrate with real workflows
Working knowledge of cloud platforms and frontier AI platforms

Technologies

Python
C#
TypeScript
PostgreSQL
Anthropic
OpenAI
Docker
Terraform
AWS

Benefits

Generous benefit package available

Nice to have

Degree in Computer Science, Engineering, Data Science, or a related field
Experience operating AI systems in production, with attention to evaluation, cost, and performance tradeoffs
Background in high-ambiguity environments with proximity to customers (for example, early-stage startups, forward-deployed engineering, internal product teams)
Experience in large-scale Python, C#, and TypeScript codebases
Experience integrating AI solutions into existing, established products
Experience working with healthcare, regulated, or sensitive data

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3mo ago

Data Engineer

Professional Staffing Services Group Orlando, FL

Orlando, FL

3mo ago Closed

$90k - $100k/yr Full time Python Apache Airflow Big Data

This position is no longer accepting applications (closed Jul 19, 2026).

Job Description

Data Engineer role in Orlando, FL onsite, focused on collecting, storing, processing, analyzing, and modeling large datasets to power data-driven applications and scalable analytics across the organization.

Responsibilities

Design, implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines, including integrating new sources into the central data warehouse and moving data out to applications and affiliates.
Maintain, monitor, and optimize analytics data warehouses and the overall data platform.
Provide hands on development, deployment, maintenance, and support for a mix of cloud and on premise solutions, web service infrastructures, and supporting technologies.
Produce scalable, replicable code and engineering solutions to automate repetitive data management tasks.
Collaborate with project managers, business analysts, data scientists, and key stakeholders to translate business requirements into technical specifications and ensure data infrastructure meets business needs.
Continuously evaluate the technical strategy, identify performance gaps, and design creative solutions.

Requirements

Bachelor's degree in Computer and Information Science required; master's degree preferred.
Snowflake and Python certifications are highly preferred but not required.
Excellent interpersonal, communication, and problem solving skills; exceptionally organized with strong attention to detail, systemic thinking, and a collaborative, team-oriented mindset.
3+ years of related data engineering or IT experience.
Proven experience with Apache Spark, Hadoop, Java/Scala, Python, and AWS architecture.
Experience with Microsoft .NET technologies (C#, VB.Net) and designing, developing, and deploying Windows and Web applications.
Experience in data modeling and database development using PL/SQL, SQL Server (2016 or later), and Snowflake; strong working knowledge of relational databases and SQL.
Proven experience building data pipelines, APIs, and ETL flows in cloud and on premise environments using tools like Snowpipe, Informatica, Airflow, and Kafka.
Track record of manipulating, processing, and extracting value from large, disconnected, or unstructured datasets, with the ability to perform root cause analysis on data processes to identify business opportunities.

Technologies

Snowflake
Python
Apache Spark
Hadoop
Java
Scala
AWS
.NET technologies (C#, VB.Net)
PL/SQL
SQL Server
Snowpipe
Informatica
Airflow
Kafka
SQL

Salary

USD 90,000 - 100,000 per year

Education

Bachelor's (Preferred)

Experience

Data Engineering: 3 years (Preferred)
IT: 3 years (Preferred)
Big data and Cloud: 2 years (Preferred)
Data modeling: 2 years (Preferred)
ETL: 1 year (Preferred)
.NET: 1 year (Preferred)

Licenses and Certifications

Snowflake or Python certification (Preferred)

Location

Orlando, FL 32801 (Preferred)

Work Location

In person

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4mo ago

Data Analyst - AI Trainer

DataAnnotation Brockton, MA 🇺🇸 Remote

Brockton, MA

4mo ago Closed

$50 - $100/hr Full time Ai Ml Ai Trainer Analyst

This position is no longer accepting applications (closed Jul 10, 2026).

Job Description

DataAnnotation, rooted in data-driven AI work and education, is looking for a Data Analyst who will serve as an AI trainer by crafting diverse coding challenges, evaluating AI-generated code, and delivering feedback that guides model improvement. This role is remote with a flexible schedule and is based in Brockton, MA, offering exposure to multiple programming languages and AI-focused projects as you contribute to the next generation of AI systems.

Responsibilities

Design and solve a variety of coding problems used to train AI systems
Write clear, high-quality code samples accompanied by detailed explanations
Evaluate AI-generated code for accuracy, performance, and readability
Provide feedback that informs the development of future AI models

Requirements

Fluency in English (native or bilingual)
Proficiency in at least one of the following languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift
Excellent writing and grammar skills
Bachelor’s degree (completed or in progress)
Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred

Technologies

JavaScript
TypeScript
Python
C
C#
C++
React
Go
Java
Kotlin
Swift

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand
Flexible schedule: choose projects and set your availability
Competitive hourly pay up to $100 per hour, with opportunities for higher rates based on performance
Impact: contribute to shaping the future of AI technologies

Pay

Hourly rate: $50.00 to $100.00 USD

Work Location

Remote

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5mo ago

Machine Learning Engineer

Amazon.com Services LLC Seattle, WA

Seattle, WA

5mo ago Closed

$144k - $194k/yr Full time Artificial Intelligence AWS C Sharp

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

Amazon.com Services LLC invites a Machine Learning Engineer to join its AWS Applied AI Solutions team. The role centers on turning research into production-ready ML and Generative AI systems, taking ownership of end-to-end deployment, and collaborating with scientists and engineers to deliver scalable, impactful solutions.

Location

Seattle, WA (onsite)

Compensation

USD 143,700 - 194,400 per year

Responsibilities

Partner with Applied Scientists and cross-functional engineers to translate research code into robust, scalable production systems
Own end-to-end deployment of Generative AI and ML methods at scale, ensuring reliability and performance
Build scalable, efficient automated processes for large-scale data analysis, model development, validation, and serving
Explore and apply innovative approaches for efficient model deployment, training, and optimization
Document processes and methods for technical and non-technical audiences to enable knowledge transfer and establish best practices
Contribute to code reviews and uphold high engineering standards across the team
Mentor junior ML Engineers and participate in recruiting top talent to grow the team
Present outcomes and explain technical approaches to senior leadership, translating complex concepts into business impact

Requirements

3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture experience focusing on design patterns, reliability, and scaling of new and existing systems
1+ years of software development engineer or related occupational experience
1+ years designing and developing large-scale, multi-tiered, multi-threaded, distributed software applications and services using C#, C++, Java, or Perl
1+ years of Object Oriented Design experience
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
Experience programming with at least one software programming language

Technologies

C#, C++, Java, Perl

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Sign-on payments and RSUs

Preferred Qualifications

3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations
Bachelor's degree in computer science or equivalent

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C Sharp Data Jobs

Staff AI Engineer

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Data Engineer

Data Analyst - AI Trainer

Machine Learning Engineer

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