Ai Engineer

Ai Engineer Jobs

114 jobs found

Today

Applied AI Engineer - Hardware

Etched San Jose, CA

San Jose, CA

Today

$150k - $250k/yr Full time Agentic Ai Ai Agent Ai Engineer

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Job Description

Etched builds an inference-focused frontier AI platform for translating engineering intent into verified, manufacturable hardware designs. This fully in-person role in San Jose (Santana Row) pairs agentic AI tooling with deep engineering collaboration, with no hard boundaries between engineering and research. You will help ship end-to-end workflows where model evaluations, tool integrations, and simulation-driven iterations directly improve real hardware outcomes.

Compensation: USD 150,000 - 250,000 per year plus Significant Equity.

What you’ll do

Build and own AI systems that convert engineering requirements into verified electrical and mechanical designs, carrying intent and constraints from early concepts through manufacturing outputs.
Create agents that use CAD, EDA, and simulation tools to generate designs, run experiments, inspect results, diagnose issues, and iterate with teams to the limits of model autonomy.
Develop workflows covering component selection, schematic capture, PCB layout, mechanical CAD, assemblies, thermal analysis, and electrical and structural simulation.
Build the tool integrations and representations agents need to reason about geometry, connectivity, materials, tolerances, and coupled electrical, mechanical, thermal, and manufacturing constraints.
Design evaluation methods that measure engineering correctness, constraint satisfaction, simulation accuracy, manufacturability, and performance on real design tasks.
Convert simulation outputs, design-rule checks, engineering reviews, and physical measurements into structured feedback models that can learn from them.
Curate proprietary datasets and design memory from complete trajectories, expert demonstrations, failed approaches, and manufactured outcomes.
Implement reproducible experiment infrastructure so tool actions, simulation settings, and results are traceable and can run at scale.
Ship agent-generated designs with electrical, mechanical, and manufacturing teams, and quantify improvements in design cycle time, hardware performance, and engineering effort.
Continuously evaluate new model releases and deploy the best models and methods for each stage of the design loop.

What you bring

A track record of solving hard problems across stacks and domains, with comfort getting dropped into unfamiliar territory.
Hands-on experience building and shipping LLM-based agents or AI tooling people depend on, including context engineering, tool integration, orchestration, evaluation, and failure analysis.
Strong software engineering skills, especially in Python, with the ability to build reliable integrations with complex engineering tools and direct AI to write code that ships.
Interest, experience, or academic exposure to electrical or mechanical engineering, with the ability to reason about physical constraints and distinguish plausible designs from verified ones.
Fluency using AI to learn and ramp on new problems, including agentic coding tools, deep research, and frontier models.
An eval-driven mindset: measuring system performance, investigating failure modes, and using those findings to improve.
Comfort moving across research exploration, agentic experimentation, engineering-tool debugging, and production execution.

Helpful background (nice-to-have)

High agency and comfort with ambiguity.
Automating CAD or EDA tools via APIs, scripting, plugins, or GUI interaction.
Experience with schematic design, PCB layout, component selection, power delivery, or signal and power integrity.
Parametric CAD, mechanical assemblies, tolerance analysis, thermal management, CFD, or FEA.
Design optimization, constraint solving, or search over large engineering design spaces.
Fine-tuning or post-training models using tool-use trajectories, simulation feedback, or expert demonstrations.
Multimodal reasoning over engineering drawings, schematics, geometry, and simulation results.
Experience taking hardware through fabrication, assembly, bring-up, and testing.

Technologies you’ll work with

Python
LLM-based agents
CAD, EDA
Simulation
Agentic coding tools
Deep research
Transformer and transformer-like architectures

Benefits

Medical, dental, and vision packages with generous premium coverage
$500 per month credit for waiving medical benefits
Housing subsidy of $2,500 per month for those living within walking distance of the office
Relocation support for those moving to San Jose (Santana Row)
Wellness benefits covering fitness, mental health, and more
Daily lunch and dinner in our office
Unlimited compute budget subject to ROI justification
Significant equity

How Etched is different: Etched believes in the Bitter Lesson, is an inference-focused frontier AI team, runs a fully in-person organization in San Jose (Santana Row), and expects technical staff to contribute across engineering and research as needed.

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Today

Member of Technical Staff (LA) – AI Engineer

NTT DATA AIVista Palo Alto, CA

Palo Alto, CA

Today

$180k - $240k/yr Full time Ai Engineer Artificial Intelligence Programming

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Job Description

NTT DATA AIVista is looking for a Member of Technical Staff (LA) – AI Engineer to help design, build, and ship AI capabilities that run in production. This role is focused on hands-on engineering work for enterprise clients, spanning agentic infrastructure, model customization, and agentic workflows.

Based in Palo Alto, CA with an onsite work arrangement, you will collaborate with experienced engineering and science teams to solve complex technical challenges and deploy scalable AI solutions.

What You’ll Do

Design, develop, and deploy AI capabilities, including agentic infrastructure, model customization, and agentic workflows for large enterprise customers.
Partner with engineering and science teams to build scalable AI capabilities and deliver them within enterprise environments.
Write production-quality software using modern AI technologies and take end-to-end ownership of meaningful components or capabilities, from implementation through deployment and ongoing improvement.

What You Bring

Undergraduate degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent practical experience).
Master’s or PhD degree preferred.
3+ years of relevant software engineering experience, including hands-on work building or contributing to AI-powered products or production AI systems.
Strong foundation in computer science and software engineering, with hands-on experience developing production-quality software.
Hands-on experience with one or more modern AI technologies or architectures, such as:
- Agentic systems and agent orchestration
- Retrieval-Augmented Generation (RAG)
- Model customization, tuning, or optimization
- Large Language Models (LLMs)
- AI infrastructure and inference systems
- Data processing and knowledge pipelines
- Agent protocols or multi-agent architectures
Experience turning AI techniques or models into practical software capabilities.
Ability to make sound implementation decisions and weigh tradeoffs across performance, scalability, reliability, and cost.
Curiosity and the ability to learn quickly as AI technologies and development practices evolve.
Strong problem-solving, analytical, communication, and collaboration skills.

Compensation and Benefits

Estimated salary range: $180,000–$240,000 USD per year
Total compensation: includes variable pay via an annual target bonus and other cash incentives, with a combined potential of up to 150% of base salary
Medical, dental, and vision insurance
401(k) plan
Significant Company HSA contribution
Paid holidays and flexible PTO

Location: Palo Alto, CA (onsite)

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Today

Sr. Staff AI Engineer

Capital One McLean, VA

McLean, VA

Today

$315k - $359k/yr Full time Senior Agents Ai Engineer

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Job Description

Capital One is seeking a Senior Staff AI Engineer to design, build, deploy, and support AI software components and foundational AI systems. This onsite role in McLean focuses on foundation model training and inference, agent workflows, search, guardrails, evaluation, governance, observability, and long-term AI platform architecture.

Key Responsibilities

Collaborate with cross-functional teams of engineers, research scientists, technical program managers, and product managers to deliver AI-powered capabilities that improve how associates work and how customers interact with Capital One.
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Use a combination of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and other related tooling.
Develop state-of-the-art foundation model optimization techniques to improve production performance, including scalability, cost, latency, and throughput.
Contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One.
Define and guide technical AI architecture, integrating applied research advancements into production environments that meet reliability and scale requirements.
Help establish AI performance, safety, and transparency standards that guide model development and deployment across the company.
Drive multi-year platform initiatives that unify data, compute, and model lifecycle management under a cohesive enterprise AI architecture.
Mentor senior technical leaders across research, data, and engineering groups to develop Capital One’s next generation of AI technical leadership.

Required Qualifications

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in a related field plus at least 8 years of experience developing AI and ML algorithms or technologies.
At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java.

Technology Focus

Programming: Python, Go, Scala, CUDA, Java
AI platforms and tooling: AWS Ultraclusters, Huggingface, VectorDBs, PyTorch
Deployment ecosystem: Open Source, SaaS

Preferred Qualifications

Experience architecting AI platforms with tradeoff decisions across cost, latency, throughput, and accuracy.
9 years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud.
Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems.
Proven ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level.
Experience developing AI and ML algorithms or technologies (e.g., LLM inference, similarity search and VectorDBs, guardrails, memory) using Python, C++, C#, Java, CUDA, or Golang.
Experience applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
Experience building agentic AI systems and agentic workflows.
Demonstrated communication and presentation skills, including the ability to explain complex AI concepts to peers.
Recognition as an industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership.
Experience designing long-term AI infrastructure strategies balancing cost, scale, ethics, and regulatory compliance.
Experience driving organization-wide adoption of AI safety, alignment, and governance standards in collaboration with policy, risk, and legal teams.
Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact.
Experience right-sizing models, instance counts, and hardware types based on requirements such as context length, token inputs, and token outputs.

Location and Salary

Location: McLean, VA (onsite)

Salary: USD 314,800 - 359,300 per year

Additional Employment Information

Capital One may sponsor a new qualified applicant for employment authorization for this position.
Eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI). Incentives may be discretionary or non-discretionary depending on the plan.
Applications are expected to be accepted for a minimum of 5 business days.
No agencies please.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
Capital One promotes a drug-free workplace.

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1d ago

Embedded Software Engineer

Spectrum Control, Inc. Marlborough, MA

Marlborough, MA

1d ago

$135k - $165k/yr Full time Ai Engineer Applications Engineering Artificial Intelligence

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Job Description

Spectrum Control, Inc. offers competitive pay, PTO, and benefits that begin on day 1, plus a 3-day weekend. This role supports both hands-on bench time and remote work depending on the phase of development, with travel required to the company’s manufacturing facility in Frederick, MD.

Responsibilities

Build and deploy the Linux operating system using the Yocto Build Flow.
Maintain software revisions and deployment workflows using Git and Docker.
Develop high-quality embedded application software in C/C++ for ARM-based processors.
Develop computer networking software infrastructure.
Create automated test software in C# to control RF test instruments (signal generators, spectrum/network analyzers, power meters) and collect measurement data.
Use Artificial Intelligence tools to enhance productivity and problem-solving.
Derive requirements and verification methods for embedded systems.
Produce detailed documentation of system functionality.
Provide internal and external customer support as needed.

Requirements

Bachelor’s Degree in Computer Science, Electrical Engineering, or Computer Engineering.
5+ years of embedded software development.
U.S. citizenship is required.
Ability to obtain and hold a US Security Clearance (Secret Level) (US ONLY).
Expert-level knowledge of Linux and building embedded Linux systems with Yocto, including custom layers and recipes, BSP integration, kernel configuration, device trees, and U-Boot.
Strong knowledge of computer networking protocols and tools, and computer architecture.
Strong C/C++ skills for embedded software on ARM-based processors, including cross-compilation toolchains, hardware interfaces (SPI, I2C, UART), and debugging with JTAG/GDB.
Strong scripting skills in Python and Bash for build automation and test tooling.
Experience building embedded Linux for Altera or AMD FPGA SoCs is preferred.
C#/.NET experience for test applications is preferred.
Experience with instrument control and test automation using SCPI over VISA (GPIB, LXI/Ethernet, USBTMC) is preferred.
Knowledge of embedded security practices (preferred): secure boot, encrypted filesystems, and signed software updates.

Work Environment

On-site expectations vary by development phase: during hardware bring-up, integration, and test periods, daily on-site presence at the bench is required; during design and software-focused phases, remote work is supported.
Candidates should not expect a fixed weekly hybrid schedule; flexibility is driven by hardware needs.
Travel to the manufacturing facility in Frederick, MD is required at least once per month.
Based at a Spectrum Control facility in Marlborough, MA, Philadelphia, PA, Fairview, PA, or Delmar, DE.
Candidates should be located within reasonable commuting distance of one of the listed locations.

Recruiter Policy

Per Spectrum Control policy, unsolicited resumes from third-party recruiters are not accepted unless the recruiter is engaged to provide candidates for a specified opening and aligned with company values and expectations.
Any employment agency, person, or entity that submits an unsolicited resume does so with the understanding that Spectrum Control may hire the applicant at its discretion without owing a fee to the submitting party.
If you want to become an approved vendor, contact scirecruiting@am.spectrumcontrol.com.

Location: Marlborough, MA (onsite). Salary: USD 135,000 - 165,000 per year.

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1d ago

GIS Software Engineer (AI/ML)

CACI Fort Bragg, NC

Fort Bragg, NC

1d ago

$94k - $197k/yr Full time Ai Engineer APIs Artificial Intelligence

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Job Description

CACI is hiring a GIS Software Engineer (AI/ML) to build AI-enabled enterprise GIS applications and databases in support of US Special Operations Command.

Responsibilities

Apply advanced AI software engineering practices to perform complex analysis and to design, develop, and modify GIS Enterprise applications and databases
Design and implement UI systems
Integrate disparate data sources into enterprise GIS workflows
Establish and maintain APIs supporting user applications and platforms
Build frameworks that enable AI/ML functions by integrating ML models into user applications and platforms
Recommend and evaluate innovative technologies that improve the presentation and use of enterprise GIS products and support integrated systems planning

Required Qualifications

Top Secret clearance with SCI eligibility
Bachelor's degree in Computer Science/Engineering
8 years of progressive experience performing design, development, and modification of UI and applications
Typically, 12 years of progressive related experience may be accepted in lieu of a degree
Experience engineering UI and applications in support of AI/ML strategies for the DoD/IC
Experience creating and developing custom tools and distributed processing workflows for large datasets
Experience (high level/expert ability) managing and working with static and dynamic streaming geospatial-oriented data
Proficiency with at least two scripting and programming languages: HTML, JavaScript, Python, C#, C++ (or equivalents listed)
Strong oral and written communication skills; capable of effectively directing subordinates
Required to obtain and maintain currency of the appropriate level certification per DODD 8570.01 (Security+)

Technologies

AI/ML
GIS Enterprise
HTML
JavaScript
Python
C#
C++

Desired Qualifications

Bachelor's degree in Computer Science/Engineering and three additional years of general experience in intelligence systems architecture and geospatial systems

What You Can Expect

Culture of integrity
Environment of trust
Focus on continuous growth

Benefits

Flexible time off benefit
Access to robust learning resources
Healthcare
Wellness
Financial
Retirement
Family support
Continuing education
Time off benefits

Position Details

Location: Fort Bragg, NC (onsite)
Employee type: Regular
Time type: Full time
Job category: Engineering
Minimum clearance required to start: TS/SCI
Travel: Up to 10%
Travel type: Outside Continental US

Compensation

Pay range: $93,500 - $196,500 (per year)

Additional Opportunity Information

Role supports the operational planning cycle in Fayetteville, NC
Position is part of a selective professional IT team directly supporting mission success
Limited to self-starters able to plan, implement, develop, and maintain applications for a GIS Enterprise while working independently in a fluid custom application development environment
Supports a Department of Defense (DoD) organization in Fayetteville, NC

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1d ago

Senior AI Engineer / Software Developer

General Dynamics Information Technology Chantilly, VA

Chantilly, VA

1d ago

$164k - $219k/yr Full time Senior Ai Engineer Artificial Intelligence

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Job Description

General Dynamics Information Technology is seeking a Senior AI Engineer to lead the design, development, and secure integration of AI and machine learning capabilities into mission systems operating on classified networks. This role emphasizes architecture, engineering standards, and governance alignment, along with close collaboration with government stakeholders and security or accreditation authorities.

Working onsite in Chantilly, Virginia, you will help operationalize AI solutions in disconnected environments, including accredited cloud enclaves, while supporting program security and responsible AI expectations.

What you’ll do

Architect, build, and maintain AI-enabled applications and services for air-gapped and government cloud environments
Deploy, serve, and tune large language models and ML models on-premises or in accredited cloud enclaves without relying on external API dependencies
Design retrieval-augmented generation (RAG) pipelines and embedding workflows using controlled datasets, including data handling and classification controls
Operationalize the AI governance framework, including model capability tiering, use-case approval workflows, rules of engagement, and audit and logging requirements
Support security accreditation activities, including AO engagement and inputs for RMF documentation, along with responsible AI evidence
Build and optimize data pipelines that feed AI-driven features and integrate with existing program systems and workflows
Set AI engineering standards for code quality, testing, and documentation, and mentor mid-level developers as the team grows
Brief technical approach, progress, and results to program leadership and government customers

Requirements

Active TS/SCI with polygraph to start
Security+CE or other IAT Level II or higher certification required to start
Bachelor’s degree or equivalent experience
8+ years of professional software development experience (or 6+ years with a relevant advanced degree), including 3+ years building or integrating ML/AI capabilities
Expert-level Python; working proficiency in at least one additional language such as JavaScript/TypeScript, Java, or similar
Experience deploying or serving LLMs or ML models in disconnected/on-premises or government cloud environments such as Azure Government or AWS GovCloud (or equivalent)
Practical production experience with model inference, embeddings, vector search, and prompt engineering
Experience with containerization (Docker/Kubernetes or equivalent) and CI/CD in restricted environments
Strong understanding of data security, classification handling, and responsible AI practices
Ability to work directly with government customers and translate mission requirements into technical solutions

Technologies

Artificial Intelligence (AI), Machine Learning (ML)
Python, JavaScript/TypeScript, Java
Large language models, ML models
Retrieval-augmented generation (RAG), embeddings, vector search, prompt engineering
Docker, Kubernetes, CI/CD
Azure Government, AWS GovCloud
PyTorch, model quantization/optimization
Llama, Mistral

Clearance and logistics

Clearance level: Top Secret SCI + Polygraph
Location: Chantilly, Virginia (onsite)
Travel required: None
Citizenship: U.S. Citizenship Required
Requisition type: Regular
Req#: RQ225685
Public trust: None

Compensation and benefits

Salary range: USD 164,382 - 218,500 per year
401K with company match and competitive pay
Comprehensive benefits and wellness packages
Paid time off
Internal mobility support focused on career goals
AI-powered career tool to identify career steps and learning opportunities
Award-winning culture of innovation and a military-friendly workplace

Identity verification

The hiring process includes an identity verification step using advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. Candidates are expected to be on camera during virtual interviews, and the company reserves the right to take a picture to verify identity and prevent fraud. Applicants authorize collection, processing, and use of biometric data for identity verification and security purposes.

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1d ago

AI engineer

WRITER New York, NY

New York, NY

1d ago

$198k - $259k/yr Full time Agentic Ai Ai Agent Ai Agent Platform

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Job Description

WRITER is seeking an AI engineer to build and deploy high-performance, scalable AI applications and AI-powered features for its enterprise platform. The role emphasizes production impact, scalable delivery, and responsible deployment of large language model capabilities, including intelligent agents grounded in enterprise data.

Role Responsibilities

Architect, develop, and deploy high-performance, scalable AI applications in production environments, with reliable integrations across the end-to-end platform.
Drive development of intelligent agents and AI-powered features, converting complex research into solutions that deliver practical customer impact.
Collaborate with research scientists, data scientists, and product managers to define technical requirements and ship features aligned with key business needs.
Support research and evaluation of emerging AI technologies, frameworks, and tools to sustain leadership in enterprise generative AI.
Promote responsible AI practices, including bias detection, explainability, and safety alignment, to help ensure systems are trustworthy and ethical.

Required Qualifications

5+ years of professional experience building and deploying machine learning or AI systems in production.
Proficiency in Python and experience with AI/ML frameworks including PyTorch, TensorFlow, or JAX.
Strong foundation in machine learning, deep learning architectures, and natural language processing, especially large language models.
Experience with cloud platforms such as AWS, GCP, or Azure, along with MLOps tools used to manage the AI lifecycle.
Proven ability to write clean, efficient, well-tested code for scalable software systems.
Strong problem-solving skills and interest in tackling complex technical challenges through creative AI solutions.
Collaboration mindset across teams, commitment to challenging the status quo to drive innovation, and ownership of projects with a focus on impact and excellence.