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71 jobs found

Today

Sr. Machine Learning Engineer, AGI

Amazon.com Services LLC Sunnyvale, CA

Sunnyvale, CA

Today

$193k - $262k/yr Full time Artificial Intelligence Engineer Genai

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Job Description

Amazon’s Foundational AI (FAI) team is working to push the boundaries of Generative AI using Large Language Models (LLMs). In this onsite role in Sunnyvale, you will help build and evaluate reinforcement learning environments, contribute to frontier model research, and apply Amazon’s heterogeneous data sources and large-scale computing resources to accelerate progress in LLMs.

This position sits within a team focused on improving the customer experience through advanced GenAI capabilities.

What You’ll Do

Support the development of RL Gyms
Assess the usefulness of RL Gyms for frontier model advancement
Build techniques that advance the state of the art with LLMs
Support foundational model development in an applied research role
Leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs

Key Qualifications

5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years leading design or architecture (design patterns, reliability, and scaling) of new and existing systems
Experience as a mentor, tech lead, or leading an engineering team
5+ 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

Compensation

Base salary range: USA, CA, Sunnyvale - USD 193,300 - 261,500 per year.

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, with option for Supplemental life plans)
EAP and Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave

About the Team

The FAI team’s mission is to push the envelope in GenAI with LLMs to deliver the best-possible experience for customers.

Los Angeles County Applicants

Work safely and cooperatively with other employees, supervisors, and staff
Adhere to standards of excellence despite stressful conditions
Communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service
Follow all federal, state, and local laws and Company policies
Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position
Those duties include the responsibilities listed above and the ability to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation
Pursuant to the Los Angeles County Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered

Inclusive Culture

If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, visit https://amazon.jobs/content/en/how-we-hire/accommodations.

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Today

Gen AI Engineer - Python - Vice President

Citi Tampa, FL

Tampa, FL

Today

$114k - $171k/yr Full time Backend Developer Manager Python

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Job Description

As a senior GenAI Engineer within Citi’s Technology organization, you will help establish and implement new or revised application systems and programming activities in coordination with the broader Technology team. This role focuses on leading application systems analysis and programming, with an emphasis on scalable Python backend development and GenAI capabilities, including Retrieval Augmented Generation (RAG).

What you’ll do

Partner with multiple management teams to support integration of functions, meet delivery goals, and identify system enhancements needed to deploy new products and improve processes.
Resolve high-impact problems by evaluating complex business processes, system processes, and industry standards.
Apply advanced application programming knowledge to ensure application design aligns with the overall architecture blueprint.
Develop standards for coding, testing, debugging, and implementation based on a strong understanding of system flow.
Build deep understanding of how business areas, including architecture and infrastructure, work together to achieve business goals.
Perform in-depth analysis using interpretive thinking to define issues and develop innovative solutions.
Advise and coach mid-level developers and analysts, including allocating work as needed.
Assess and manage risk in business decisions, with consideration for the firm’s reputation and safeguarding Citigroup, its clients, and assets by driving compliance with applicable laws and regulations, adhering to policy, applying ethical judgment, and escalating, managing, and reporting control issues with transparency.
Design, develop, and maintain high-quality, scalable, and efficient Python code for Generative AI applications.
Integrate and leverage GenAI-related APIs such as OpenAI and Gemini to build new features and products.
Implement and optimize Retrieval Augmented Generation (RAG) systems to improve model performance and enable contextually relevant responses.
Develop and deploy robust backend services using Python frameworks such as FastAPI, Flask, or Django.
Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to define requirements and deliver solutions.
Write comprehensive unit and integration tests to support code quality and reliability.
Participate in code reviews and contribute to best practices for quality.
Optimize application performance, scalability, and security.
(Optional) Work with cloud container orchestration services such as OpenShift or ECS for deploying and managing applications.
(Optional) Have familiarity with Lightspeed (as referenced by Citi’s internal tool or technology).

Required skills

Minimum 6 years of professional software development experience with a strong focus on Python.
Proven hands-on experience with Generative AI concepts and technologies.
Demonstrable experience working with GenAI-related APIs such as OpenAI and Gemini.
Solid understanding and practical experience implementing Retrieval Augmented Generation (RAG) systems.
Expertise in at least one modern Python web framework: FastAPI, Flask, or Django.
Strong understanding of software development best practices, including Git, testing, and CI/CD.
Experience with relational and/or NoSQL databases.
Excellent problem-solving skills with the ability to work independently and in a team environment.
Strong communication and interpersonal skills.

Education

Bachelor’s degree/University degree or equivalent experience
Master’s degree preferred

Compensation & location

Location: Tampa, FL (onsite)
Salary range: USD 113,840 - 170,760 per year
Time type: Full time
Primary location: Tampa Florida, United States

Benefits

Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
Discretionary and formulaic incentive and retention awards (for eligible employees)

Anticipated posting close date: Sep 22, 2026

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19d ago

AI Engineer

Charles Schwab San Francisco, CA

San Francisco, CA

19d ago

$200k - $250k/yr Full time Backend Developer Ai Applications Artificial Intelligence

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Job Description

The AI Strategy & Transformation team at Charles Schwab (AI.x) is building and scaling GenAI capabilities to improve client experiences and deliver measurable business value. This AI Engineer role is based in San Francisco and focuses on designing, developing, and bringing GenAI applications into production.

Role Summary

As an AI Engineer on AI.x, you will help create GenAI applications by building end-to-end solutions with an emphasis on production delivery and engineering discipline. The team works across product, engineering, strategy, and risk to align new AI capabilities with Schwab’s enterprise direction.

Responsibilities

Design, develop, and deliver GenAI applications that enhance client experience and create business value.
Partner with architects, engineers, and business leaders to ensure solutions align with Schwab’s enterprise strategy.
Learn from senior engineers, join technical discussions, and help strengthen engineering practices while supporting a continuous learning culture.
Address complex technical challenges, support best engineering standards, and drive improvements from concept through production.

Required Qualifications

5+ years of software development experience, including 3+ years as a hands-on engineer in startups and/or large organizations.
Bachelor’s degree in Computer Science or a related field.
3+ years building complex products from scratch and supporting them in production environments.
1+ years developing applications that use Artificial Intelligence (AI) models to deliver business impact.
2+ years working with applications or data pipelines interfacing with large datasets.
2+ years working with containers and cloud-native applications, including exposure to deploying in the public cloud using infrastructure as code.

Preferred Qualifications

Strong computer science fundamentals with experience across different parts of the tech stack.
Experience with proprietary or open-source LLMs, such as Gemini, Claude, and OpenAI, and contributing to LLM-powered applications.
Quality-focused development practices, including writing and maintaining tests.
Experience evaluating and monitoring LLM-generated outputs for quality and consistency.
Clear communication skills in verbal and written forms.
Interest in mentoring peers and learning from senior engineers through feedback and code reviews.
Demonstrated commitment to continuous learning and improvement.
Ability to solve complex problems with ambiguous or incomplete data within distributed systems.
Knowledge of business domains related to products contributed to.
Curiosity about new technologies and processes, with interest in sharing knowledge with the team.
Experience with Python and front-end development is preferred but not required.
Master’s or advanced degrees in Computer Science or related fields are a plus.

Technologies

Artificial Intelligence (AI) models
GenAI
LLMs
Gemini
Claude
OpenAI
Containers
Cloud-native applications
Infrastructure as code
Public cloud
Python

Team and Opportunity

AI.x is Schwab’s central hub for Artificial Intelligence, located in San Francisco.
The team is an integrated product, engineering, strategy, and risk group focused on enterprise AI vision and investment in promising opportunities.
AI.x accelerates AI delivery across the company and builds a core AI platform that powers AI at scale.
The team also explores next-generation GenAI efforts designed to redefine how Schwab serves clients.

Location and Compensation

Location: San Francisco, CA (onsite)
Salary: USD 200,000 - 250,000 per year

Benefits

401(k) with company match and Employee stock purchase plan
Paid time for vacation, volunteering, and a 28-day sabbatical after every 5 years of service for eligible positions
Paid parental leave and family building benefits (including adoption/family building benefits)
Tuition reimbursement
Health, dental, and vision insurance
In addition to the salary range, the role is eligible for bonus or incentive opportunities
Sabbatical leave available after five years of employment

Eligible Schwabbies Receive

Medical, dental and vision benefits
401(k) and employee stock purchase plans
Tuition reimbursement
Paid parental leave and adoption/family building benefits
Sabbatical leave available after five years of employment

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22d ago

AI Engineer / OpenAI

Motion Recruitment Oak Brook, IL

Oak Brook, IL

22d ago

Contract Backend Developer APIs Artificial Intelligence

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Job Description

This contract role focuses on building production-grade Generative AI solutions within a collaborative enterprise environment. The work spans LLM development, Python API delivery, cloud and data platform integration, and MLOps for deployment and optimization, using Azure OpenAI and modern LLM frameworks.

Role Overview

As an AI Engineer, you will contribute hands on engineering across the full lifecycle of GenAI capabilities, including implementation details for LLM-powered applications and integration with enterprise data and infrastructure. The position is based in Oak Brook, IL and is onsite.

Responsibilities

40% Generative AI and LLM development
25% Python API development
20% Cloud and data platform integration
15% MLOps, deployment, and optimization
75% hands on engineering
25% team collaboration

Required Qualifications

4+ years of software engineering or AI/ML experience
2+ years building Generative AI applications
Strong Python development experience
Experience with LangChain, LangGraph, AutoGen, LlamaIndex, or similar frameworks
Knowledge of Azure OpenAI or enterprise LLM platforms
Experience building RAG solutions and vector search implementations
Experience with FastAPI or API development
Strong communication and stakeholder engagement skills
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related discipline

Technologies

Azure OpenAI
Databricks
Snowflake
Python
FastAPI
LangChain
LangGraph
AutoGen
LlamaIndex

Desired Skills & Experience

Experience with Snowflake and Databricks
MLOps or DevOps experience
Enterprise AI deployment experience
Exposure to Anthropic Claude or other commercial LLM platforms
Experience integrating with ERP, CRM, or legacy enterprise systems
Background within supply chain, logistics, manufacturing, or distribution environments

Compensation & Benefits

Competitive Salary

Medical, Dental, and Vision Insurance

Employment Type

Contract

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25d ago

Senior AI Engineer

Mapgenesys South Barrington, IL 🇺🇸 Remote

South Barrington, IL

25d ago

$31k - $47k/yr Full time Ai Engineer Artificial Intelligence Big Data

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Job Description

Mapgenesys is hiring a Senior AI Engineer to design, train, and deploy AI solutions across large-scale data environments.

Responsibilities

Design, develop, and optimize scalable AI models using TensorFlow and machine learning cloud services to address complex business needs
Own model training, evaluation, and deployment to support robustness, accuracy, and efficiency across diverse platforms
Implement natural language processing methods and generative AI solutions to improve data-driven applications
Manage large-scale big data systems using Hadoop, Spark, and SQL for data mining, ETL, and analytics workflows
Collaborate with cross-functional teams to architect database designs and data pipelines for scalable AI initiatives
Perform statistical analysis for research using tools such as R and SAS to guide model development and validation
Build automation scripts in Bash (Unix shell) or VBA to streamline data processing and improve operational workflows
Evaluate AI models using rigorous statistical analysis and model evaluation metrics to ensure strong performance
Integrate machine learning and AI-based analysis into existing enterprise systems while maintaining scalability and reliability
Track emerging trends in quantum engineering, big data analytics, and machine learning frameworks to strengthen technical capabilities

Requirements

Proven experience building AI models with a strong background in machine learning frameworks such as TensorFlow or similar platforms
Extensive hands-on experience with Hadoop, Spark implementations, and SQL databases for large-scale data analytics
Demonstrated expertise in statistical modeling, statistical analysis tools (R/SAS), and predictive modeling for research or business use cases
Strong programming skills in Python, Java, C, or Bash (Unix shell), focused on model training, deployment, and automation
Familiarity with cloud-based AI services on AWS or other cloud platforms for scalable model implementation
Experience applying natural language processing techniques and generative AI models
Knowledge of database design principles and ETL workflows using Talend or similar tools to support robust data pipelines
Ability to communicate complex technical concepts clearly across teams while leading multiple projects simultaneously

Technologies

TensorFlow, Hadoop, Spark, SQL
R, SAS
Bash (Unix shell), VBA
Python, Java, C
AWS
Talend

Benefits

Flexible schedule
Referral program
Retirement plan

Pay

USD 31,347 - 47,021 per year
Detailed: $31,347.96 - $47,021.94 per year

Work Location

South Barrington, IL (Remote)

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29d ago

AI Engineer

GEI Consultants Dallas, TX

Dallas, TX

29d ago

$110k - $150k/yr Full time Analytics Artificial Intelligence Azure

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Job Description

GEI Consultants is seeking an AI Engineer to develop, deploy, and integrate AI solutions into business workflows. In this role, you will help deliver AI Solutions Factory use cases by implementing production-ready capabilities that are secure, scalable, maintainable, and measurable for reliability, performance, and cost.

This position is based in Dallas, TX with onsite work arrangements. The pay range for this role is $110,000.00–$150,000.00 per year, and candidates should have 4+ years of relevant software engineering experience, including hands-on work building Generative AI applications.

Responsibilities

Build and deploy AI-based solutions using pretrained models and Copilot technologies.
Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure Functions.
Integrate AI capabilities into business workflows and applications.
Securely integrate enterprise data sources, including APIs, Graph connectors, retrieval-augmented generation (RAG), and event-driven patterns.
Maintain and optimize Power BI dashboards that support AI-enabled workflows and insights.
Instrument AI solutions for telemetry, reliability, performance monitoring, and cost control.
Provide technical support and troubleshooting for deployed AI solutions.
Identify implementation risks and support mitigation strategies in collaboration with architecture and platform teams.

Requirements

4+ years of software engineering experience, including at least 1 year building Generative AI applications.
Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks.
Proficiency in at least one programming language such as Python, PySpark, R, or SQL.
Experience delivering Generative AI (LLM) solutions, preferably on Azure.
Familiarity with Azure AI library APIs, including GPT, Codex, and DALL·E, plus other frameworks such as Databricks Mosaic.
Knowledge of big data technologies such as Spark and Databricks; TensorFlow and PyTorch are a plus.
Knowledge of Azure cloud services including Azure AI Platform, Azure Data Factory, Azure Synapse, and Azure Cognitive Services, and how they integrate with ML workflows.
Familiarity with AI ethics, bias mitigation, explainability techniques, and responsible AI practices.
Knowledge of security best practices for AI solutions, including data encryption, access control, and endpoint protection.
Prior experience implementing AI/ML solutions in professional services, engineering, or construction environments is a plus.
Azure or Databricks certifications (for example, Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus.

Technologies

Python, PySpark, R, SQL
Generative AI, Large Language Models (LLMs)
Copilot technologies, Copilot Studio
Azure Functions
Azure AI library APIs (GPT, Codex, DALL·E)
Databricks Mosaic, Spark, Databricks
TensorFlow, PyTorch
Azure AI Platform, Azure Data Factory, Azure Synapse, Azure Cognitive Services
Power BI
Retrieval-augmented generation (RAG)
APIs, Graph connectors, event-driven patterns

Benefits

Market-Competitive Compensation, including eligibility for an Annual Performance Bonus.
Pay Range For This Position: $110,000.00–$150,000.00/year.
Comprehensive Benefits Program including Medical, Dental, Vision, Life, Disability, and more.
Well-Being Program and Paid Parental Leave.
Commuter Benefits.
Hybrid Work Schedules and Cell Phone Stipends.
GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement.
Connecting Conversation Program focused on Professional Development and opportunities for Advancement.
Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses.
Paid Holidays and a Generous Paid Time Off Program.
Rewards and Recognition.
GEI-Funded Profit Sharing and 401(k).
Opportunity to be an Owner and Shareholder.
A vibrant culture focused on partnership, sustainability, giving back to communities, and diversity, equity, and inclusion.

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1mo ago

AI Developer / Generative AI Engineer

Brooksource Allentown, PA

Allentown, PA

1mo ago Closed

$35 - $65/hr Contract Ai Automation Ai Engineer Artificial Intelligence

This position is no longer accepting applications (closed Sep 16, 2026).

Job Description

Brooksource is hiring an AI Developer / Generative AI Engineer for a contract-to-hire role in Allentown, PA (Hybrid).

Responsibilities

Design and build AI-powered applications and user interfaces using modern Generative AI technologies
Develop and optimize Python-based AI scripting and automation workflows
Use Microsoft Copilot capabilities to improve business processes and user experiences
Work with Large Language Models (LLMs) to develop, test, and implement AI-driven solutions
Collaborate with cross-functional teams to spot opportunities for AI adoption and innovation
Translate business requirements into scalable technical solutions
Evaluate and implement AI tools while aligning with organizational technology and licensing considerations
Troubleshoot, enhance, and maintain AI-enabled applications and integrations

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field
2-5 years of professional software development or AI-focused experience
Strong Python development and scripting experience
Experience building applications or user interfaces that leverage AI technologies
Hands-on experience with Generative AI tools and concepts
Strong problem-solving skills with the ability to think critically and connect complex technical concepts
Excellent communication and collaboration skills

Preferred Qualifications

Experience working with Large Language Models (LLMs)
Experience with Microsoft Copilot technologies and integrations
Familiarity with AI application architecture and prompt engineering best practices
Experience developing AI-powered automation or workflow solutions

Technologies

Python
Microsoft Copilot
Large Language Models (LLMs)
Generative AI

Location, Type, and Compensation

Location: Hybrid remote in Allentown, PA 18101
Onsite expectation: approximately 3 days onsite per week
Work arrangement: contract (contract-to-hire)
Pay: USD $35.00 - $65.00 per hour
Local requirement: candidates should be local to the Allentown, PA area and able to come onsite as needed