The AI Prompt & Agent Developer will design, test, and scale AI agents that improve customer interactions, working closely with various teams to align technology with business needs. Responsibilities ...
The AI Prompt & Agent Developer will design, test, and scale AI agents that improve customer interactions, working closely with various teams to align technology with business needs. Responsibilities ...
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Ai Agent Developer information
See California salary details
$33.9K is the 25th percentile. Wages below this are outliers.
$28.6K - $34.9K
30% of jobs
$34.9K - $41.3K
15% of jobs
The median wage is $42.5K / yr.
$41.3K - $47.6K
24% of jobs
$49.5K is the 75th percentile. Wages above this are outliers.
$47.6K - $53.9K
20% of jobs
$53.9K - $60.2K
8% of jobs
$60.2K - $66.6K
1% of jobs
$66.6K - $72.9K
0% of jobs
$72.9K - $79.2K
0% of jobs
$79.2K - $85.5K
0% of jobs
$85.5K - $91.9K
0% of jobs
$91.9K - $98.2K
2% of jobs
$28.6K
$47.3K
$98.2K
How much do ai agent developer jobs pay per year?
What is an AI Agent Developer job?
An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.
What are some common challenges faced by AI Agent Developers in their daily work?
AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.
Is AI agent developer a good career?
What is a $900000 AI job?
What are the key skills and qualifications needed to thrive in the Ai Agent Developer position, and why are they important?
To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.
What is the salary of an AI agent developer?
Are AI agents replacing developers?

Full-time
Posted 11 days ago
Job description
Opencall is building AI call centers for non-technical businesses, aiming to enhance customer service experiences at enterprise scale. The AI Prompt & Agent Developer will design, test, and scale AI agents that improve customer interactions, working closely with various teams to align technology with business needs.
Responsibilities:
• Design, build, and refine prompts for real-world agent tasks (Q&A, classification, lead qualification, appointment booking, knowledge lookup).
• Develop robust evaluation pipelines to measure accuracy, reliability, compliance, and business outcomes of AI prompts at scale.
• Architect and implement multi-step AI agents that integrate with telephony (Twilio, SIP), CRMs, and customer systems.
• Ensure agents are reliable, scalable, and cost-optimized in high-volume environments.
• Lead QA workflows for AI agents, simulating real-world customer scenarios and measuring outcomes.
• Monitor production agent performance and iterate rapidly to improve.
• Work closely with product, ops, and engineering to design features driven by business needs.
• Partner with sales and customer success teams to translate client requirements into effective agent behavior.
Qualifications:
Required:
• 2+ years of experience with AI/ML, NLP, or prompt engineering.
• Demonstrated experience building and deploying AI prompts and/or agents in production.
• Strong analytical and problem-solving mindset; comfort with ambiguity.
• Excellent written and verbal communication skills.
• Bachelor’s degree in Computer Science, Engineering, Math, or related field.
Preferred:
• Strong programming skills in Python (experience with APIs, data pipelines, testing frameworks).
• Hands-on experience with multiple LLMs (GPT, Claude, LLaMA, Gemini, Mistral, or fine-tuned models).
• Familiarity with telephony platforms (e.g., Twilio) or conversational AI systems.
• Prior exposure to contact center, SaaS, or customer-facing technology.
• Master’s or PhD in a technical discipline is a plus.
Company:
Turn missed calls into customers. Even million-dollar call centers lose 10-30% of revenue to abandonment. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 2-10 employees. The company is currently Early Stage.