A leading AI company in California is seeking a qualified software engineer to design and implement agentic AI systems. You will build data pipelines, collaborate with cross-functional teams to translate business needs into AI solutions, and architect production-grade systems focused on performance and scalability. Candidates should have a BS in engineering, 4+ years of relevant experience, and strong Python skills. The role offers a competitive salary ranging from $184,000 to $231,000 annually.
Qualifications
4+ years of relevant work experience in software development.
Experience or strong interest in creating analytical or AI/ML models.
Strong problem-solving skills in simplifying real-world problems.
Responsibilities
Design and implement agentic AI systems.
Build and maintain data pipelines and workflows.
Integrate AI solutions with various services.
Skills
Python
Data Science
Problem-solving
AI/ML applications
Education
BS in relevant engineering discipline
Job description
Responsibilities
Design and implement agentic AI systems with structured interfaces, reasoning loops, and robust error handling
Build and maintain data pipelines, scheduled workflows, and benchmarking infrastructure
Develop evaluation and scoring systems to measure and continuously improve model output quality
Integrate the platform with internal and external services, including ticketing, messaging, storage, and observability
Collaborate with cross-functional teams to translate business requirements into technical AI solutions
Architect and maintain production-grade AI solutions with focus on scalability, reliability, and performance
Qualifications
BS in relevant engineering discipline and 4+ years of relevant work experience
Software development experience, Strong Python with applications in AL/ML
Familiarity with AI agents and their applications, including prompt design, tool calling, context management, and evaluation
Experience or strong interest in Data Science and Engineering
Experience or strong interest in creating Analytical or AI/ML-based models for real-world problems
Strong problem-solving skills, especially in simplifying and modelling real-world problems
Bonus Qualifications
Familiarity with major LLM providers (OpenAI, Anthropic, Google, Meta, etc.) and understanding of their trade‑offs in terms of performance, cost, latency, and capabilities
Experience integrating AI capabilities into applications or eagerness to learn application development
Full‑stack development experience with both backend and front‑end technologies