2

Full Time Ai Agent Jobs (NOW HIRING)

In this role, you will design, develop, and deploy advanced LLM and AI Agent technologies that ... The US base salary range for this full-time position is $100,000-$200,000 + bonus + long term ...

In this role, you will design, develop, and deploy advanced LLM and AI Agent technologies that ... The US base salary range for this full-time position is $100,000-$200,000 + bonus + long term ...

AI Deployment Strategist [NYC]

New York, NY ยท On-site

$120K - $160K/yr

Work closely with Agent Engineers and Solutions Architects to translate customer requirements into ... to Full-Time Employees) Health & Wellness * Comprehensive health, dental, and vision insurance

Own Agent retrieval accuracy and relevance . Architect the knowledge systems that enable AI agents ... You're not a full-time software engineer, but you're dangerous enough to build, test, and validate ...

Senior AI Developer

Manhattan, NY ยท On-site

$125K - $140K/yr

New York, United States Type: Full-time Department: Technology Job Summary We are seeking a Senior ... Build and orchestrate multi-agent pipelines -including supervisor agents, collaborative agent ...

New York, United States Type: Full-time Department: Technology Job Summary We are seeking a Senior ... Build and orchestrate multi-agent pipelines -including supervisor agents, collaborative agent ...

We're a consulting team that helps clients design and build customized AI agent solutions. You'll ... Remote position (40 hours per week) Duration: Full-time role Pay-rate: $30+/hr **No C2C resumes are ...

Agentic AI Engineer

Boston, MA ยท On-site

$30/hr

We're a consulting team that helps clients design and build customized AI agent solutions. You'll ... Remote position (40 hours per week) Duration: Full-time role Pay-rate: $30+/hr **No C2C resumes are ...

... learning about multi-agent architectures, fine-tuning workflows, and evaluation techniques ... The US base salary range for this full-time position is $179,500-$220,000. Exact salary offers will ...

Senior Data Scientist, AI

New York, NY ยท On-site

$200K - $220K/yr

Building and Owning the AI Agent Evaluation Framework: Design and maintain the systems and ... Possesses 5+ Years of full time Data Experience: Has at least 5 years of hands-on experience in ...

Applied AI Engineer - AI Agent

Sunnyvale, CA ยท On-site

$179K - $220K/yr

... learning about multi-agent architectures, fine-tuning workflows, and evaluation techniques ... The US base salary range for this full-time position is $179,500-$220,000. Exact salary offers will ...

Applied AI Engineer - AI Agent

Sunnyvale, CA ยท On-site

$179K - $220K/yr

... learning about multi-agent architectures, fine-tuning workflows, and evaluation techniques ... The US base salary range for this full-time position is $179,500-$220,000. Exact salary offers will ...

AI Engineer

San Francisco, CA ยท On-site

$150K - $250K/yr

We're hiring a full-time AI Engineer to own the prompts, agents, evals, and pipelines behind user ... Iterate fast on prompts, agent designs, and orchestration patterns. * Partner with the Product ...

Senior Software Engineer, Agent

Palo Alto, CA ยท On-site

$185K - $300K/yr

Palo Alto HQ | Type: Full-time, On-site/Remote About the Role We're looking for a Senior Agent Engineer to push the boundaries of what AI agents can do at Pika. You'll work on the systems that give ...

AI Deployment Strategist [NYC]

New York, NY ยท On-site

$120K - $160K/yr

Work closely with Agent Engineers and Solutions Architects to translate customer requirements into ... to Full-Time Employees) Health & Wellness * Comprehensive health, dental, and vision insurance

NYC, NY - Onsite Full Time Responsibility: * Provide technical leadership to both Onshore and ... Hands-on expertise with MCP server frameworks, AI agent-building and modern UX practices.

next page

Showing results 1-20

Full Time Ai Agent information

What are the key skills and qualifications needed to thrive as a Full-Time AI Agent, and why are they important?

To thrive as a Full-Time AI Agent, you need a strong background in computer science, machine learning, and data analysis, often supported by a relevant degree or equivalent experience. Mastery of programming languages like Python, familiarity with AI frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are typically required. Excellent problem-solving abilities, adaptability, and effective communication set top candidates apart in this field. These skills are crucial for developing, deploying, and maintaining AI solutions that drive business value and innovation.

How does a Full Time AI Agent typically collaborate with cross-functional teams within an organization?

Full Time AI Agents often work closely with data scientists, engineers, product managers, and business stakeholders to design, implement, and refine AI solutions. Collaboration usually involves regular meetings to align on project goals, sharing progress updates, and integrating AI models into broader business workflows. Strong communication skills are essential, as you may need to explain complex AI concepts to non-technical colleagues and ensure solutions meet both technical and business requirements. This collaborative environment helps drive innovation and ensures the successful deployment of AI-driven products.

What are Full Time AI Agents?

Full Time AI Agents are advanced artificial intelligence systems designed to autonomously perform tasks, solve problems, or assist users on a continuous basis within an organization. Unlike traditional AI tools that require human initiation, these agents operate proactively, handling responsibilities such as data analysis, customer support, process automation, and more. They are designed to work alongside human teams, increasing efficiency and allowing employees to focus on higher-level tasks. Full Time AI Agents utilize machine learning, natural language processing, and other AI technologies to adapt and improve over time.

What is the difference between Full Time Ai Agent vs Customer Support Specialist?

AspectFull Time Ai AgentCustomer Support Specialist
CredentialsBasic technical knowledge, training in AI toolsCustomer service skills, communication training
Work EnvironmentRemote, AI-driven platformsOffice or remote, direct customer interaction
Industry UsageTech, e-commerce, AI companiesRetail, telecom, service industries
Search/Comparison IntentUnderstanding AI automation rolesCustomer service roles and skills

Full Time Ai Agents primarily focus on managing AI-powered customer interactions, often working remotely with technical training. Customer Support Specialists handle direct customer inquiries, emphasizing communication skills. While both roles involve customer interaction, Full Time Ai Agents are more tech-oriented, whereas Customer Support Specialists focus on personal service.

More about Full Time Ai Agent jobs
What cities are hiring for Full Time Ai Agent jobs? Cities with the most Full Time Ai Agent job openings:
What are the most commonly searched types of Ai Agent jobs? The most popular types of Ai Agent jobs are:
What states have the most Full Time Ai Agent jobs? States with the most job openings for Full Time Ai Agent jobs include:
Infographic showing various Full Time Ai Agent job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Full-time

Posted 23 days ago


Job description

OPPO AI Center is seeking a passionate AI Engineer to help build next-generation AI products and intelligent agent systems. In this role, you will design, develop, and deploy advanced LLM and AI Agent technologies that integrate text and vision capabilities. You will work closely with cross-functional teams to build scalable AI solutions and bring AI technologies into real-world products and user experiences.
Key Responsibilities:
โ€ข Develop and optimize AI applications based on LLMs and multimodal foundation models, with strong understanding of model quality, latency, and cost trade-offs.
โ€ข Design and improve prompt engineering and context engineering workflows, including AI evaluation, debugging, and tuning for real-world product scenarios.
โ€ข Build and improve AI agent systems with capabilities such as memory management, context management, and tool usage for production AI applications.
Requirements
Minimum Qualifications:
โ€ข Master's degree in CS, AI, ML, CV, NLP, or a related field; or Bachelor's degree with 2+ years of industry experience in related areas.
โ€ข Hands-on experience with LLM APIs and modern foundation models, with solid understanding of model trade-offs across quality, latency, scalability, and cost efficiency in real-world AI applications.
โ€ข Strong understanding of prompt engineering, context engineering, AI agent architectures, memory and context management, and tool-calling workflows, with the ability to independently perform AI system evaluation, debugging, tuning, and optimization.
Preferred Qualifications:
โ€ข Experience building and deploying AI agent systems, including tool-use agents, workflow automation agents, and multimodal AI applications in production environments.
โ€ข Familiarity with modern AI frameworks and ecosystems such as LangChain, OpenAI API, Anthropic API, Gemini API, vector databases, RAG pipelines, and agent orchestration frameworks.
โ€ข Strong problem-solving and communication skills, with the ability to rapidly prototype, iterate, and collaborate across research, engineering, and product teams in a fast-paced AI development environment.
Benefits
OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
The US base salary range for this full-time position is $100,000-$200,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.