Artificial Intelligence

Artificial Intelligence Developer Jobs

221 jobs found

Today

Lead Software Engineer - Python

JPMorganChase Columbus, OH

Columbus, OH

Today

Full time Backend Developer Python Artificial Intelligence

Apply Now

Job Description

JPMorganChase is seeking a Lead Software Engineer in Columbus, Ohio to join the Infrastructure Platforms (IP) team. This onsite role centers on shaping secure, scalable software across multiple business functions, guiding AI-assisted engineering practices, production code development, and initiatives that enhance operational stability.

Responsibilities

Develops innovative software solutions, designs and implements features, and troubleshoots complex technical problems with an ability to apply unconventional approaches when needed.
Produces secure, high-quality production code and participates in code reviews and debugging of peers’ work.
Identifies opportunities to automate recurring remediation tasks to improve the overall stability of software applications and systems.
Leads adoption of enterprise‑authorized AI‑assisted engineering practices to boost code quality, delivery speed, and operational outcomes, while establishing validation standards and promoting reuse of effective patterns across the team.
Leverages the Software Development Life Cycle toolchain, including AI-enabled development and automation capabilities, to maximize the value of automation.
Guides evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, credentials, and applicability within existing systems and information architecture.
Leads communities of practice across Software Engineering to drive awareness and adoption of new technologies.
Contributes to a team culture rooted in diversity, inclusion, opportunity, and respect.

Requirements

Formal training or certification in software engineering concepts with 5+ years of applied experience.
Strong experience with Python, Django, JavaScript, and SQL.
Proven track record leading effective use of approved AI-assisted software development tools, with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Solid understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption.
Hands-on experience delivering system design, application development, testing, and operational stability.
Proficiency in automation and continuous delivery methods.
Proficient in all aspects of the Software Development Life Cycle.
Advanced understanding of agile methodologies such as CI/CD pipelines, application resiliency, and security.
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
In-depth knowledge of the financial services industry and its IT systems.
Practical cloud-native experience.

Technologies

Python
Django
JavaScript
SQL
Tableau
Alteryx

Benefits

Base salary
Commission-based pay
Discretionary incentive compensation
Cash and/or forfeitable equity
Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

View full job page →

Today

Senior Machine Learning Engineer, End‑to‑End Autonomous Driving

NVIDIA Santa Clara, CA

Santa Clara, CA

Today

$184k - $357k/yr Full time Senior Active Learning Artificial Intelligence

Apply Now

Job Description

Join NVIDIA in Santa Clara, onsite, to lead the design, training, and deployment of end-to-end autonomous driving models. This senior role offers a salary range of USD 184,000 to 356,500 per year, plus equity and a comprehensive benefits package. You will collaborate across teams to build data-centric pipelines, drive data flywheels, and translate research into robust, production-grade machine learning systems for autonomous driving.

Benefits

Equity
Benefits

Responsibilities

Design, implement, and train large-scale end-to-end driving models.
Lead the data flywheel by identifying failure cases, specifying data collection and labeling needs, and iterating models to close real-world gaps in performance.
Build, curate, and maintain high-quality multimodal datasets (video, sensor, language/action traces) tailored for end-to-end autonomous driving.
Apply data-centric learning methods such as active learning, curriculum learning, automated hard-example mining, outlier and novelty detection, and semi/self-supervised approaches.
Explore and productize new data sources including simulation, synthetic data, and world-model based generation to improve coverage and robustness.
Design data workflows that automate data discovery, labeling, evaluation, and retraining to maximize development velocity.
Foster collaborative partnerships with researchers and engineers to transform innovative research into robust, industrial-strength models.

Requirements

PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant work in Computer Science, Computer Engineering, or a related technical field.
Strong background in modern deep learning, including transformer-based architectures, video modeling, and multimodal VLM/VLA or foundation models.
Hands-on experience training and deploying deep learning models on real-world datasets: data preprocessing, distributed training, evaluation, debugging, and iterative improvement.
Practical experience with data-centric methods such as active learning, curriculum learning, outlier/novelty detection, or large-scale sample mining.
Proficiency in Python and at least one major deep learning framework (PyTorch, TensorFlow, or JAX), along with solid software engineering practices (testing, code review, CI/CD).
Proven ability to collaborate across teams, drive designs from prototype to production, and communicate clearly with technical and non-technical partners.
A track record of leading complex cross-team projects, setting technical direction, and making critical decisions that impact multiple teams or products.

Technologies

Python
PyTorch
TensorFlow
JAX

Ways to stand out

Experience building and operating data flywheels or large-scale ML data pipelines, including data quality monitoring and continuous retraining loops.
Direct experience with end-to-end driving models, large-scale behavior cloning, or reinforcement/imitation learning for driving or robotics.
Experience leveraging simulation, synthetic data, or world models to generate training and evaluation data for autonomous systems.
Contributions to advanced data-centric ML methods, VLM/VLA, or autonomous driving through publications, open-source projects, or widely used internal tools.
Background with safety, reliability, and validation requirements for autonomous driving or other safety-critical applications.

View full job page →

Today

Senior Principal AI Full Stack Software Engineer

General Dynamics Information Technology Fort Bragg, NC

Fort Bragg, NC

Today

$146k - $198k/yr Full time Backend Developer Senior AI Enablement

Apply Now

Job Description

General Dynamics Information Technology offers a path for engineers to advance in AI powered web and application development for defense related systems. Expect an environment that supports growth through an AI powered career tool, a dedicated internal mobility team to help you reach your goals, comprehensive benefits and wellness packages, a 401K with company match, and a culture that values innovation within a military friendly workplace. This hybrid Fort Bragg location combines impactful work with strong team collaboration.

Location: Fort Bragg, NC, hybrid

Experience requirement: 10+ years of related experience

Responsibilities

Guide the technical integration of AI and large language model capabilities into existing applications and workflows, including prompting, tool invocation, retrieval augmented generation, and related patterns.
Write clean, maintainable Python code following established best practices and standards.
Architect and implement AI enabled web applications and analytics interfaces using Streamlit, React, or comparable technologies.
Create and integrate APIs, including FastAPI services, to facilitate reliable inter-system communication.
Build and maintain user interfaces that present AI, data, and analytics in a usable way for end users.
Set up and sustain CI/CD pipelines and container deployments with Docker to ensure repeatable builds and dependable releases.
Work with PostgreSQL and MySQL databases to ensure data integrity, performance, and efficiency.
Utilize Git for version control to support collaborative development and code management.
Collaborate with cross functional teams across the full software lifecycle to define, design, develop, test, and deliver features.
Ensure all solutions meet high standards for security, quality, reliability, and maintainability.
Contribute across all stages of the software development life cycle, from concept through deployment and ongoing sustainment.

Requirements

Strong ability to write clean, maintainable, and efficient Python code.
Experience building AI enabled web applications, analytic dashboards, or user workflows with Streamlit or similar technologies.
Solid knowledge of web technologies, containerization, RESTful APIs, and user interface development.
Experience designing and maintaining scalable backend solutions using Python frameworks.
Familiarity with PostgreSQL and MySQL relational databases.
Proficiency with Docker; Kubernetes experience is a plus.
Proficiency with Git based version control and collaborative software development workflows.
Hands-on experience with full stack development and a strong understanding of the software development life cycle.
Ability to work effectively both independently and collaboratively in a fast paced environment.

Technologies

Python
Streamlit
React
FastAPI
Docker
PostgreSQL
MySQL
Git
Kubernetes

Benefits

Growth: AI powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, competitive pay and paid time off
Community: Award winning culture of innovation and a military friendly workplace

Work Requirements

Experience: 10+ years of related experience
Travel: Less than 10%
Citizenship: U.S. Citizenship Required
Note: May vary based on technical training, certification(s), or degree

Salary and Benefit Information

The likely salary range for this position is $146,200 to $197,800 per year. This is not a guarantee of compensation; final salary will be set based on experience, geographic location, and possibly contractual requirements, and could fall outside of this range.

View full job page →

Today

Quality Engineering Senior Automation Developer - AVP

Citi Irving, TX

Irving, TX

Today

$107k - $161k/yr Full time Senior APIs Artificial Intelligence

Apply Now

Job Description

Citi offers a people‑centered, impact driven environment for a Quality Engineering Senior Automation Developer (AVP) in Irving, TX. This on‑site role partners with the Technology team to establish and implement new or revised application systems and contributes to applications analysis and programming. The compensation ranges from USD 107,120 to 160,680 per year, complemented by a comprehensive benefits package and opportunities to grow within a risk‑aware, governance‑driven culture.

Benefits

Discretionary and formulaic incentive and retention awards
Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off (vacation)
Paid time off (sick leave)
Paid holidays

Responsibilities

Lead tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, and model development; establish and implement new or revised application systems and programs to meet business needs
Oversee all phases of the development lifecycle from analysis and design through construction, testing, and implementation; provide user and operational support to business users
Apply deep specialty knowledge of applications development to analyze complex problems, evaluate business and system processes, and reference industry standards to guide decisions
Recommend and design security measures during post‑implementation analysis to ensure robust system functionality
Consult with users, clients, and other technology groups on issues; propose advanced programming solutions and assist with customer exposure systems
Ensure essential procedures are followed and help define operating standards and processes
Serve as advisor or coach to new or lower level analysts
Operate with limited direct supervision and exercise independent judgment and autonomy
Act as subject matter expert to senior stakeholders and team members
Assess risk in business decisions, uphold Citi's reputation, protect clients and assets, and escalate and report control issues with transparency per applicable laws and policies

Requirements

5+ years of relevant experience
Experience in systems analysis and programming of software applications
Proven track record in managing and delivering successful projects
Working knowledge of consulting and project management techniques
Ability to work under pressure and manage changing deadlines
Experience with BDD/TDD and Cucumber framework development
Experience building and maintaining CI/CD pipelines with Jenkins
Hands-on experience with API testing tools such as Postman or SOAPUI
Understanding of deep learning fundamentals, Retrieval-Augmented Generation (RAG) and LLMs
Experience in API development and integration of models through APIs

Technologies

BDT/TDD, Cucumber
Jenkins
Postman, SOAPUI
Deep learning, RAG, LLMs
API development and model integration via APIs

Primary location: Irving, Texas, United States (onsite). Time type: Full time. Salary range: USD 107,120.00 – 160,680.00 per year.

View full job page →

1d ago

Lead Data Engineer

INSPYR Solutions Doraville, GA 🇺🇸 Remote

Doraville, GA

1d ago

$60 - $70/hr Contract Artificial Intelligence Big Data Bigdata

Apply Now

Job Description

Lead Data Engineer at INSPYR Solutions will architect and optimize distributed data pipelines, establish Lakehouse architecture, enable ML workflows, ensure data quality, and improve production reliability.

Responsibilities

Architect, build, and optimize distributed data pipelines using Apache Spark in a high-volume, mission-critical environment.
Design and maintain enterprise Lakehouse infrastructure with Delta Lake, ensuring ACID compliance, lineage, auditability, and governance.
Develop automated ingestion frameworks (batch, streaming, and event-driven) across multiple cloud services and integration points.
Prepare feature-ready datasets and establish reproducible machine learning deployment patterns to enable ML workflows.
Lead platform-wide data quality, access control, and cataloging frameworks.
Implement cost optimization, cluster tuning, and performance engineering strategies.
Collaborate with Finance, BI, Operations, and ML teams to translate complex business needs into scalable data solutions.
Own production reliability, troubleshooting, and root cause analysis for data and ML pipelines.

Requirements

7+ years of experience in advanced data engineering with distributed compute technologies.
Expert Spark engineering experience including performance tuning, cluster configuration, partition strategies, and large dataset optimization.
Hands-on experience with Lakehouse architectures featuring ACID transactions, schema evolution, and governance frameworks.
Strong Python and SQL skills for large-scale data transformations.
Experience supporting machine learning pipelines or model operationalization.
Proven track record architecting cloud-native data platforms on Azure, AWS, or GCP.
Experience integrating diverse, complex data sources at enterprise scale.
Demonstrated ability to own mission-critical production systems.
Experience with distributed streaming frameworks such as Kafka or Event Hubs.
Experience building or supporting ML platforms, feature stores, or experiment tracking systems.
Background in data security, compliance controls, or audit-ready governance.
Experience automating data operations with CI/CD and infrastructure as code.

Technologies

Databricks, Python, SQL
Apache Spark, Delta Lake
MLflow, Notebooks
Hugging Face Transformers, LangChain, LlamaIndex
LLMs: Anthropic Claude, Meta LLaMA, Google Gemini
Kafka, Event Hubs, ADLS, S3, GCS
Git, GitHub, GitLab, Azure Repos, Databricks Repos
GitHub Actions, Azure DevOps
Unity Catalog, RBAC, REST APIs

Benefits

Comprehensive medical benefits
Competitive pay
401(k) retirement plan

Core Tools

Databricks (Spark, Delta Lake, MLflow, Notebooks)
Python & SQL
Apache Spark via Databricks
Delta Lake for lakehouse architecture

Cloud Platforms

Azure, AWS, or GCP
Cloud storage options: ADLS, S3, GCS

Data Integration

Kafka or Event Hubs for streaming data
Auto Loader for Databricks file ingestion
REST APIs
AI/ML and MLflow for model tracking and deployment
Hugging Face Transformers, LangChain, LlamaIndex for LLM integration
LLMs: Anthropic Claude, Meta LLaMA, Google Gemini

DevOps

Git-based version control (GitHub, GitLab, Azure Repos)
Databricks Repos for notebooks and code
CI/CD: GitHub Actions, Azure DevOps

Security & Governance

Unity Catalog for data governance
RBAC to manage access controls

View full job page →

1d ago

Contract Software Engineer - AI Trainer

DataAnnotation Elk Grove Village, IL 🇺🇸 Remote

Elk Grove Village, IL

1d ago

$50 - $100/hr Contract Ai Trainer Ai Training Artificial Intelligence

Apply Now

Job Description

Contract Software Engineer - AI Trainer to help train AI models for DataAnnotation, with fully remote work and flexible scheduling.

Responsibilities

Design and solve a range of coding problems used to train AI systems.
Write clear, high quality code snippets and detailed explanations.
Evaluate AI generated code for accuracy, performance, and readability.
Provide feedback that shapes the next generation of AI models.

Requirements

Fluency in English at native or bilingual level.
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 working hours, using your own computer from home.
Competitive pay: hourly rates up to USD 100+ per hour, with potential bonuses on selected projects.
Impact: help shape the future of AI technologies.

Details

Location: Elk Grove Village, IL (remote)
Hourly rate: USD 50 - 100 per hour
Job type: Contract

View full job page →

1d ago

Senior Applied Machine Learning Engineer - VLSI Design

NVIDIA Santa Clara, CA

Santa Clara, CA

1d ago

$152k - $265k/yr Full time Senior Agent Based Design Analytics

Apply Now

Job Description

NVIDIA in Santa Clara, California is seeking a Senior Applied Machine Learning Engineer focused on VLSI design automation. This role blends data science, AI systems, and agentic approaches to accelerate both pre-silicon and post-silicon hardware design and circuit optimization, with integration into existing tools in the EDA ecosystem. The position offers a hybrid work arrangement and a salary range of USD 152,000 to 264,500 per year. A minimum of four years of relevant experience and an MS or PhD in Electrical/Computer Engineering, Computer Science, or Applied Mathematics are expected.

Responsibilities

Collaborate within a cross-functional team on projects involving pre-silicon and post-silicon hardware design data, circuit optimization, SPICE correlation, and AI-driven design automation workflows.
Contribute to applications spanning silicon data analysis, manufacturing process variation analysis, VLSI circuit design, timing, and agent-driven design exploration and flow optimization.
Translate requirements into data science, ML, and agent-based system problems; architect and implement solutions.
Test and deploy models and AI systems that integrate with existing machine learning, design automation, and visualization tools within the organization.
Analyze datasets, formulate and validate hypotheses, extract relevant features, and build models plus self-improving workflows on top of them.
Refine models, algorithms, and autonomous optimization systems until the desired QOR is reached.

Requirements

MS/PhD in Electrical/Computer Engineering, Computer Science, Applied Mathematics, or equivalent experience.
4+ years of experience in circuit design, VLSI, ASIC, EDA, silicon analysis, or custom circuit design.
Demonstrated ability in Python and C++ with a background in applied mathematics, ML, or software development.
Experience with deep learning algorithms and AI agent frameworks; familiarity with PyTorch, LangChain, or LangGraph is a plus.

Technologies

Python
C++
PyTorch
LangChain
LangGraph

Benefits

Equity
Benefits

Ways to Stand Out From the Crowd

Experience building AI systems for EDA, design automation, or circuit design workflows.
Research or project work in AI-driven EDA, circuit optimization, design-space exploration, or autonomous design systems.
Experience developing agentic systems, autonomous optimization loops, self-improving AI systems, or production-scale AI/ML platforms.
Strong verbal and written communication skills and the ability to present technical content effectively.
Self-motivated with a passion for growth, continuous learning, and sharing findings with the team.