10,735 Artificial Intelligence Engineer jobs in the United States

Description

SAIC is seeking an experienced AI Engineer to support one of our Intelligence customers. The ideal candidate will possess a strong background in AI, data science, or software engineering. This funded role involves leveraging advanced analytical techniques and agentic data discovery methodologies to enhance the program's data exploitation capabilities and reduce reliance on manual data processing.

Key Responsibilities:

• Utilize advanced analytical techniques and agentic data discovery methodologies to analyze disparate data sources across the Intelligence Community (IC) and other agencies.
• Develop and implement AI/ML solutions to accelerate data aggregation and the identification of emerging threats to national security.
• Enhance the program's capabilities to exploit large datasets and identify correlations and threat vectors.
• Collaborate with cross-functional teams and stakeholders to understand data requirements and deliver AI solutions that meet program objectives.
• Stay current with emerging AI/ML technologies and best practices to ensure the program remains at the forefront of technological advancements.
• Provide guidance and mentorship to non-technical team members on AI/ML methodologies and best practices.
• Create and maintain documentation for AI/ML models, algorithms, and processes.

Qualifications

• Active TS/SCI with Polygraph is required.
• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. Advanced degree preferred.
• Minimum of 8 years of experience in AI, data science, or software engineering.
• Extensive knowledge of advanced analytical techniques and agentic data discovery methodologies.
• Proven experience with disparate data sources and integrating data from multiple agencies or sectors.
• Strong understanding of AI/ML models, algorithms, and tools.
• Experience with programming languages and tools such as Python, R, TensorFlow, PyTorch, and other AI/ML frameworks.
• Familiarity with data processing platforms such as Hadoop, Spark, and cloud services (AWS, Azure, GCP).
• Ability to work independently and as part of a team in a fast-paced, dynamic environment.
• Excellent problem-solving skills and the ability to think critically and strategically.
• Strong communication and interpersonal skills to effectively collaborate with stakeholders and present findings.
• Experience working within the Intelligence Community (IC) or other government agencies.
• TS/SCI with Poly

Preferred Qualifications:

• Knowledge of national security threats and data exploitation strategies.
• Experience with data visualization tools such as Tableau, Power BI, or similar platforms.

Overview

We build and field-test practical autonomy and sensing systems using commercial off-the-shelf parts. You’ll contribute software that powers two live programs: a semi-autonomous ground rover (ArduPilot-based) and a solar-powered water-quality station (Arduino-based) — both designed for fast, repeatable deployments and dual-use relevance. (Rover scope reference.)

We’re hiring an Entry-Level AI Engineer to turn research into reliable, production-grade features—especially around LLMs, retrieval, evaluation, and safety —with a primary focus on Python (and some Java for service integration).

• Develop and maintain software using Java and Python for robotics, sensing, and data pipelines.
• Collaborate with hardware engineers to integrate code with sensors, navigation systems, and telemetry streams.
• Write clean, testable code for simulations, QA tools, and field-ready deployments.
• Contribute to debugging and troubleshooting during lab and field operations.
• Regularly propose new features and solutions to improve autonomy, reliability, and usability.
• Stay updated on emerging software tools, frameworks, and defense technology applications.

Bachelor's degree or entry-level knowledge in:

• Computer Science, Computer Engineering, Electrical Engineering, or related fields
• Information Technology or Data Science with strong software development experience

Must-haves:

• Proficiency in Java and Python
• Familiarity with Git, Linux, and common development workflows
• Strong problem-solving and debugging skills
• Ability to work independently and in small teams
• Organized, detail-oriented, and capable of meeting deadlines consistently

• Experience with APIs, data visualization, or scripting for simulations
• Exposure to Arduino, embedded systems, or robotics frameworks
• Knowledge of databases, REST, or MQTT/HTTP telemetry
• Participation in software internships, defense/engineering clubs, or relevant projects

• Competitive pay at $40/hour with flexible hybrid/remote options and/or CPT/OPT letter per request
• Hands-on experience coding for real robots and deployed sensors
• Direct mentorship from engineers with defense and industry backgrounds
• Opportunity to earn referrals to major defense companies
• A fast-paced, practical environment where your work gets tested in the field

We are an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected class.

Overview

Founding AI Engineer | Build the Future of Insurance Intelligence. Base pay range: $150,000.00/yr - $00,000.00/yr. This role focuses on building AI-powered systems to interpret complex insurance documents, not just chatbots. The position involves creating reasoning AI that can interpret coverage, identify gaps, and transform how a 1.4T industry operates.

Insurance still runs on 100+ page documents written by lawyers, for lawyers — and professionals spend hours comparing them. We’re developing AI to make these documents readable by humans and machines.

• Own and evolve a production LLM application stack — designing intelligent, high-performing systems beyond basic RAG
• Architect sophisticated LLM workflows for complex policy interpretation
• Build multi-step reasoning agents and decision-making systems
• Develop evaluation frameworks, monitoring tools, and cost-optimization pipelines
• Master vector databases and semantic search for legal and insurance data

• Proven experience building and deploying advanced LLM applications
• Deep understanding of prompt engineering, agentic systems, and evaluation frameworks
• Strong background with LangChain, LlamaIndex, or similar
• Thrive in founder-led, fast-moving environments where you take full ownership
• Passionate about solving real-world challenges with meaningful impact

This is an opportunity to define the AI foundation of a venture-backed startup working with several of the largest US insurance brokers.

Location: Hybrid if you are based in Chicago. Remote if you are based in either New York or San Francisco.

Must be a US citizen or Green card holder.

• Mid-Senior level

• Full-time

• Industries: Financial Services, Insurance, and Insurance Agencies and Brokerages

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Stuut is an engineering-driven company revolutionizing B2B financial operations through cutting‑edge AI technology. Backed by top‑tier investors, including a16z, Khosla, Activant, 1984 Ventures, Vesey and Page One, we’re building intelligent systems that transform how businesses handle financial workflows. Our AI-powered platform tackles complex challenges in invoice matching, payment reconciliation, and automated financial operations.

We’re seeking an exceptional Senior/Staff AI Engineer to drive the development of our core AI systems and infrastructure. This role will be instrumental in building and scaling our AI capabilities, from RAG pipelines to custom model fine‑tuning for financial applications. The ideal candidate combines deep technical expertise in AI/ML with strong systems engineering skills and a passion for solving complex financial technology challenges.

• Design and implement production‑grade AI systems, including RAG pipelines, fine‑tuning workflows, and MLOps infrastructure
• Lead the development of intelligent systems for invoice matching, payment reconciliation, and financial document processing
• Architect and build scalable data pipelines to support AI model training and inference
• Develop and implement AI planning systems for automated financial workflows
• Drive technical decisions around model selection, fine‑tuning strategies, and system architecture
• Collaborate with product and engineering teams to integrate AI capabilities into our core platform
• Establish best practices for model evaluation, monitoring, and performance optimization
• Contribute to building a strong AI engineering culture

• 4+ years of software engineering experience, with at least 2 years focused on building production AI systems
• Extensive experience with modern AI/ML technologies, including: Large Language Models (LLMs) and fine‑tuning; Retrieval Augmented Generation (RAG); MLOps and model deployment; Vector databases and efficient retrieval systems
• Strong programming skills in Python and experience with AI frameworks (PyTorch, TensorFlow, etc.)
• Proven track record of building and deploying large‑scale AI systems in production
• Deep understanding of ML infrastructure, including training pipelines and serving architectures
• Experience with data pipeline development and large‑scale system integration
• Strong background in backend systems development and distributed systems
• Excellence in technical communication and documentation

• Master’s or PhD in Computer Science, Machine Learning, or related field
• Research experience or publications in ML/AI
• Experience with financial technology or financial document processing
• Familiarity with AI agents and planning systems
• Track record of open‑source contributions to ML/AI projects
• Experience with cloud platforms (AWS, GCP, Azure) and containerization
• Knowledge of financial operations workflows and challenges

• Core Stack: Python, TypeScript
• ML Tools: Weights & Biases, MLflow

• Competitive salary and equity package
• Health, dental, and vision insurance
• Flexible PTO policy
• Parental leave
• Work in either NYC or SF

Principal Consultant | Edge AI, Embedded & Smart Manufacturing Engineering

Role: AI Automation Engineer

Salary: $175,000 + Benefits

Company Description

Join a globally recognized professional services firm at the forefront of law, business, and technology. With offices across the U.S., Europe, and Asia, the firm is driving digital transformation in legal operations through cutting-edge automation and AI solutions. You’ll be part of a collaborative, forward-thinking team that values innovation, inclusivity, and impact.

• Partner with business and legal stakeholders to identify automation and AI opportunities that enhance workflow efficiency.
• Map and analyze processes to uncover bottlenecks and recommend streamlined solutions.
• Design, develop, and deploy automation workflows using Microsoft Power Platform (Power Automate, Power Apps, Copilot Studio, SharePoint, Power BI).
• Integrate automation tools with existing firm systems and data sources.
• Maintain documentation and ensure process consistency across teams.
• Oversee testing, deployment, and ongoing optimization of automation projects.
• Provide technical guidance to junior engineers and cross-functional teams.
• Stay ahead of emerging AI and legal tech trends to drive continuous improvement initiatives.

• 5+ years of experience in application design, development, and workflow/process automation.
• Hands-on expertise with Microsoft Power Platform, including Copilot Studio, Power Automate, PowerApps, SharePoint, and Power BI.
• Solid understanding of process improvement methodologies and business analysis.
• Knowledge of machine learning and AI concepts.
• Strong communication, organization, and analytical skills.
• Prior experience in a law firm or professional services environment is a plus.

• Competitive compensation package (salary up to $175,000 , depending on experience).
• Comprehensive medical, dental, and vision coverage.
• 401(k) with employer match.
• Generous PTO and holiday allowance.
• Professional development and tuition reimbursement opportunities.

If this is of interest, please click apply for immediate consideration!

Mid-Senior level

Full-time

Engineering and Information Technology

Industries: Law Practice, Legal Services, and Financial Services

Senior AI Engineer / Document / Invoice Processing with ERP Integration

Location: Los Angeles or San Francisco

Build production AI agents that extract structured financial data from enterprise systems at scale. You’ll integrate with SAP, Oracle, and NetSuite; process 10K+ invoices monthly with 95%+ accuracy; and orchestrate multi-agent workflows that convert unstructured documents into blockchain-ready assets.

• LLM Development
• Document or Invoice Parsing, processing OR Data extraction from Documents / Invoices
• ERP Integration

Production Multi-Agent Systems

• Built systems processing 1M+ monthly requests using LangChain or LangGraph
• Achieved 50%+ cost reduction through token optimization, caching, or multi-model routing
• Implemented parallel agent execution with state persistence and error recovery
• 95%+ field extraction accuracy on PDF invoices, scanned documents, and complex layouts
• Production experience handling OCR artifacts, malformed documents, and multi-format parsing
• Real-time validation pipelines with GST/VAT checks and automated reconciliation

• Native connectors for SAP (S/4HANA, ECC), Oracle (NetSuite, ERP Cloud), or Microsoft Dynamics
• Real-time data sync between LLM systems and business systems (sub-second latency)
• Complex data transformation between unstructured documents and ERP schemas

• E2B or Daytona implementation for secure agent code execution
• Container orchestration achieving 20x+ throughput improvements
• SOC2/GDPR compliance in financial data processing systems

• Accuracy proof: 95%+ extraction rates on production financial documents
• Integration proof: 5+ external APIs with authentication, webhooks, and rate limiting
• Compliance proof: Experience with SOX, audit trails, or other financial regulatory frameworks

• Processing: Pydantic, structured outputs, function calling, semantic parsing

• 3+ years building production LLM applications with measurable performance metrics
• Open-source contributions to LangChain or Composio (1000+ commits preferred)
• Enterprise software integration at fintech or AI infrastructure companies

• Mid-Senior level

• Full-time

• Software Development

Agentic AI, Software Engineer (Offensive Security)

We’re partnered with an established, well-funded security innovator building a next-generation AI-driven offensive security platform. The team operates like a startup within a larger organization and is scaling prototypes that already have strong enterprise interest.

This is a rare opportunity to join early, take true ownership of agentic AI systems in production, and shape how security teams leverage autonomous workflows.

• Design, build, and ship production-grade AI agents (reasoning, planning, tool invocation, multi-step orchestration).


• Turn R&D prototypes into reliable services: instrumentation, evaluation, monitoring, and iteration.


• Integrate agents with real tools and data sources.


• Collaborate closely with security engineers and product to prioritize high-impact automations.


• Own architecture decisions end-to-end; move quickly from idea → demo → production.

• Hands-on experience building agentic AI systems beyond demos (planning, memory, tool use, error recovery).


• Fluency with at least one orchestration framework (e.g., LangChain, AutoGen, Semantic Kernel, or similar).


• Security domain familiarity is a plus (pentesting/red teaming concepts), but not required.

• San Francisco preferred

$250k — $325k base salary, plus meaningful equity and benefits. Senior/principal IC scope with high autonomy and visibility.

BlockTal is extremely committed to working with equal opportunity employers, helping build a diverse and inclusive workforce. We put the people we work with at the heart of everything we do and dedicate all we do to playing a part in developing an industry that represents a variety of backgrounds, perspectives, and skills.

Overview

Our client is a fast-growing Series A startup building the next hyperscaler for AI agents. With $32M+ raised since 2023, 7-figure revenue, and top-tier AI customers, they’re shaping the future of developer tools for AI.

You’ll inspire developers with what’s possible on the platform, creating example projects and experimental initiatives. You’ll take projects from 0 → 1, from small demos to larger tools like Fragments or AI Analyst. This role requires creativity, ownership, and a passion for building impactful AI products.

• 3+ years as a software engineer, ideally in startups (Seed–Series B)
• Proficiency in Python, TypeScript, and Next.js
• Experience building AI products, LLM-powered tools, or AI agents
• Strong attention to detail and product sense
• Excited to work closely with users and take ownership of product areas
• Comfortable in a fast-paced, in-person San Francisco environment (4 days on-site)

• Full healthcare, vision, and dental coverage
• Unlimited PTO
• Freedom to experiment, innovate, and lead projects

Python, TypeScript, Next.js, AI Agents, RAG, Prompt Engineering

This is a fantastic opportunity for a builder-type engineer who wants to shape the future of AI tools while working in a highly dynamic, fast-moving startup environment.

Mid-Senior level

Full-time

• Information Technology

• IT Services and IT Consulting

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This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$250,000.00/yr - $400,000.00/yr

An elite AI engineering team within a global organization is hiring a VP-level AI Engineer to lead the development and deployment of agentic AI solutions at enterprise scale. These systems will power internal automation and cost-efficiency efforts, touching millions of transactions and users across a complex, high-volume environment.

This role is about building and deploying production-grade LLM and agentic systems , not just experimentation or internal tools. You’ll be expected to design for scale, reliability, and real-world performance — with the full backing and reach of a global enterprise.

• Design and deploy LLM-based and agentic AI systems in cloud environments
• Lead architecture and development of production-ready AI applications
• Collaborate with engineering, infrastructure, and business partners to identify impactful AI opportunities
• Ship systems that reduce operational cost and increase automation across the organization
• Own solutions from prototype to deployment and long-term optimization

Must-Haves

• 8+ years of experience in software engineering or AI/ML roles (commercial/industry)
• Hands-on experience deploying LLM-based systems at scale
• Strong skills in both ML model deployment and system architecture
• Prior ownership of AI products used by external users or across large orgs
• Experience in cloud-based environments (e.g., AWS, GCP, Azure)
• Track record of shipping AI into production , not just R&D or PoCs
• Stable career trajectory (ideally 2+ years per role)

• Director

• Full-time

• Health Care Provider

• Staffing and Recruiting

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