Mid-Level AI Agent Engineer
Jobright.ai
San jose,
California,
United States
Information Technology
H-1B
Job posted on August 10, 2025
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Job Description:
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Job Summary: Adobe is a company focused on changing the world through digital experiences, empowering individuals and brands to create exceptional digital content. They are seeking an AI Agent Engineer to design, build, and maintain intelligent agents that enhance automation and business impact across the enterprise.
Responsibilities: • Build and fine-tune specialized AI agents for targeted customer experience use cases such as discovery, support, and lead qualification • Implement prompt engineering strategies, memory handling, resource management and tool-calling integrations • Adopt agent-to-agent communication protocols and handoff mechanisms to enable cooperative task execution and delegation • Build orchestrated workflows across agents using frameworks like LangChain, AutoGen, or Semantic Kernel • Create reusable agent templates and modular components to accelerate deployment across business units • Build plug-and-play configurations for domain-specific requirements • Track and improve conversation quality, task success rate, user satisfaction, and performance metrics • Automate monitoring of agent behavior using observability tools (e.g., Arize, LangSmith, custom dashboards) • Implement learning workflows, including human-in-the-loop feedback and automatic retraining • Refine prompts and model behavior through structured experimentation and feedback loops • Handle knowledge base updates, drift detection, performance degradation, and integration of new business logic • Ensure agents stay aligned with evolving enterprise data sources and compliance requirements • Manage agent versioning, testing pipelines (unit, regression, UX), and controlled rollout processes • Collaborate with DevOps, QA, and infrastructure teams to ensure scalable deployments
Qualifications:
Required: • 3–5+ years of experience in AI/ML engineering, NLP systems, or backend development • Strong proficiency with LLM frameworks (e.g., OpenAI APIs, LangChain, RAG pipelines) • Experience building conversational agents or workflow bots in production environments • Familiarity with cloud platforms (AWS/GCP/Azure), REST APIs, Python, and containerization (Docker, K8s) • Comfort with prompt design, vector databases, and memory handling strategies
Preferred: • Experience with multi-agent frameworks or agent orchestration systems • Familiarity with observability tools, data labeling workflows, or synthetic data generation • Background in conversational design or dialogue management systems • Degree in Computer Science, Data Science, Engineering, or a related field
Company: Adobe is a software company that provides its users with digital marketing and media solutions. Founded in 1982, the company is headquartered in San Jose, California, USA, with a team of 10001+ employees. The company is currently Public Company. Adobe has a track record of offering H1B sponsorships.
APPLY NOW
Job Summary: Adobe is a company focused on changing the world through digital experiences, empowering individuals and brands to create exceptional digital content. They are seeking an AI Agent Engineer to design, build, and maintain intelligent agents that enhance automation and business impact across the enterprise.
Responsibilities: • Build and fine-tune specialized AI agents for targeted customer experience use cases such as discovery, support, and lead qualification • Implement prompt engineering strategies, memory handling, resource management and tool-calling integrations • Adopt agent-to-agent communication protocols and handoff mechanisms to enable cooperative task execution and delegation • Build orchestrated workflows across agents using frameworks like LangChain, AutoGen, or Semantic Kernel • Create reusable agent templates and modular components to accelerate deployment across business units • Build plug-and-play configurations for domain-specific requirements • Track and improve conversation quality, task success rate, user satisfaction, and performance metrics • Automate monitoring of agent behavior using observability tools (e.g., Arize, LangSmith, custom dashboards) • Implement learning workflows, including human-in-the-loop feedback and automatic retraining • Refine prompts and model behavior through structured experimentation and feedback loops • Handle knowledge base updates, drift detection, performance degradation, and integration of new business logic • Ensure agents stay aligned with evolving enterprise data sources and compliance requirements • Manage agent versioning, testing pipelines (unit, regression, UX), and controlled rollout processes • Collaborate with DevOps, QA, and infrastructure teams to ensure scalable deployments
Qualifications:
Required: • 3–5+ years of experience in AI/ML engineering, NLP systems, or backend development • Strong proficiency with LLM frameworks (e.g., OpenAI APIs, LangChain, RAG pipelines) • Experience building conversational agents or workflow bots in production environments • Familiarity with cloud platforms (AWS/GCP/Azure), REST APIs, Python, and containerization (Docker, K8s) • Comfort with prompt design, vector databases, and memory handling strategies
Preferred: • Experience with multi-agent frameworks or agent orchestration systems • Familiarity with observability tools, data labeling workflows, or synthetic data generation • Background in conversational design or dialogue management systems • Degree in Computer Science, Data Science, Engineering, or a related field
Company: Adobe is a software company that provides its users with digital marketing and media solutions. Founded in 1982, the company is headquartered in San Jose, California, USA, with a team of 10001+ employees. The company is currently Public Company. Adobe has a track record of offering H1B sponsorships.