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Ai Engineer Developer Jobs (NOW HIRING)

AI Engineer

Manhattan, NY · On-site

$300K - $350K/yr

At FMX Services, LLC, we are looking for an experienced AI Engineer to join our dynamic team in the Fenics UST Development department. In this role, you will play a crucial part in designing and ...

AI Engineer

Manhattan, NY · On-site

$300K - $350K/yr

At FMX Services, LLC, we are looking for an experienced AI Engineer to join our dynamic team in the Fenics UST Development department. In this role, you will play a crucial part in designing and ...

Automate deployments using Azure DevOps, GitHub Actions, and IaC tools. * Ensure compliance with security and Responsible AI standards. * Collaborate with cross-functional teams and mentor junior ...

AI Engineer

San Francisco, CA · On-site

$200K - $290K/yr

At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie's anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in ...

Configure AI agents , plugins, and automation frameworks to boost developer productivity. * Develop documentation including user guides, API references, and operational playbooks. * Support ...

Seeking an AI Engineer to build and integrate AI solutions. Key Requirements: * AI/ML development * Python and AI frameworks * LLM integration and prompting * APIs and pipelines * Collaboration ...

Configure AI agents , plugins, and automation frameworks to boost developer productivity. * Develop documentation including user guides, API references, and operational playbooks. * Support ...

AI Engineer

Manhattan, NY · On-site

$133K - $166K/yr

AWS Certified Generative AI Developer - Professional * Google Cloud Professional Machine Learning Engineer * Databricks Certified Generative AI Engineer Associate The total compensation for this role ...

Contract (Long Term) Experience: 5+ years Skills - JavaScript, TypeScript, AI, React / React JS Job Overview Our client is building the internal developer platforms that engineering teams depend on ...

At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled applications, tools, agents, and integrations that support business needs across Corning Optical ...

AI Engineer

San Jose, CA · On-site

$230K - $280K/yr

Senior AI Engineer / Machine Learning Engineer / Python Software Engineer Location: San Jose, CA Salary: $230K - $280K An AI startup is hiring Mid and Senior Python Software Engineer to join a small ...

AI Engineer

Manhattan, NY · On-site

$133K - $166K/yr

AWS Certified Generative AI Developer - Professional * Google Cloud Professional Machine Learning Engineer * Databricks Certified Generative AI Engineer Associate The total compensation for this role ...

AI Engineer

Charlotte, NC · On-site

$50K - $60K/yr

Utilize Google ADK (AI Developer Kits) and related Google Cloud AI services (e.g., Vertex AI, Gemini APIs) to deploy robust AI solutions. * Cross-Functional Collaboration: Work closely with product ...

AI Engineer

Manhattan, NY · On-site

$133K - $166K/yr

AWS Certified Generative AI Developer - Professional * Google Cloud Professional Machine Learning Engineer * Databricks Certified Generative AI Engineer Associate The total compensation for this role ...

Showing results 21-40

Ai Engineer Developer information

See salary details

$20

$61

$79

How much do ai engineer developer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for ai engineer developer in the United States is $61.49, according to ZipRecruiter salary data. Most workers in this role earn between $55.29 and $68.03 per hour, depending on experience, location, and employer.

What is the difference between Ai Engineer Developer vs Data Scientist?

AspectAi Engineer DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related; programming skills; knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops AI models, algorithms, and systems; often in tech or R&D teamsAnalyzes data, builds models, and interprets insights; in analytics or research teams
Employer & Industry UsageTech companies, AI startups, R&D divisionsFinance, healthcare, marketing, and tech sectors

While both roles involve working with data and machine learning, Ai Engineer Developers focus on building and deploying AI systems and algorithms, whereas Data Scientists analyze data to extract insights and inform decision-making. The roles often overlap but differ in primary responsibilities and skill emphasis.

More about Ai Engineer Developer jobs
What cities are hiring for Ai Engineer Developer jobs? Cities with the most Ai Engineer Developer job openings:
What states have the most Ai Engineer Developer jobs? States with the most job openings for Ai Engineer Developer jobs include:
Infographic showing various Ai Engineer Developer job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $127,901 per year, or $61.5 per hour.

Applied AI Engineer, Work From Home

Parallel Partners

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 6 days ago


Job description

Company Description
Job Description
Applied AI Engineer, Work From Home
We are looking for an Applied AI Engineer to design, build, and optimize AI-powered features that sit directly inside our product workflows. The Applied AI Engineer role focuses on turning model capabilities into real product behavior, where AI interacts with users, supports decision-making, and powers automation across insurance journeys. This is a fully remote role where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI-powered systems. We have multiple openings for this position. This position is 100% Remote.
Applied AI Engineer Responsibilities:
- Build AI-powered product features integrated into real insurance workflows.
- Design and optimize LLM-based interactions across customer and internal systems.
- Develop prompts, reasoning flows, and structured AI outputs for production use cases.
- Evaluate model performance using real-world data, feedback loops, and experiments.
- Improve reliability of AI outputs through guardrails, fallback logic, and validation layers.
- Work closely with backend engineers to integrate AI capabilities into APIs and workflows.
- Design and implement AI-driven automation features (chat, recommendations, decision support).
- Analyze user behavior and model responses to continuously improve AI performance.
- Collaborate with product, design, and engineering teams to ship end-to-end AI features.
- Contribute to AI system design decisions focused on usability and real-world impact.
Applied AI Engineer Outcomes
- AI features are reliable, consistent, and production-ready across workflows.
- User-facing AI interactions are intuitive and improve task completion rates.
- Model outputs are measurable, testable, and continuously improving.
- AI-driven automation reduces manual work in insurance processes.
- Product teams can safely deploy AI features with controlled behavior.
Qualifications
Applied AI Engineer Qualifications:
- Strong software engineering background in production environments.
- Experience working with LLMs (OpenAI, Anthropic, or open-source models).
- Familiarity with prompt engineering, structured outputs, and tool use patterns.
- Experience building or integrating AI features into real products.
- Strong understanding of API-based system integration.
- Ability to evaluate AI outputs critically using data and user feedback.
- Experience with experimentation, A/B testing, or evaluation frameworks.
- Strong product sense and focus on user experience.
- Comfortable working in fast-paced, globally distributed teams.
- Tech Stack: A/B Testing, AI, Artificial Intelligence, Anthropic, Evaluation Frameworks, LLM APIs, Node.js, NoSQL, OpenAI, Open-Source Models, Pinecone, Prompt Engineering Frameworks, Python, REST APIs, SQL, Vector Databases, and Weaviate.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, Applied AI Engineer, A/B Testing, AI, Artificial Intelligence, Anthropic, Evaluation Frameworks, LLM APIs, Node.js, NoSQL, OpenAI, Open-Source Models, Pinecone, Prompt Engineering Frameworks, Python, REST APIs, SQL, Vector Databases, Weaviate, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
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Additional Information
All your information will be kept confidential according to EEO guidelines.