Software Engineer, Agent Harness & Evaluation at SIVAD Consulting

Job description

Software Engineer, Agent Harness & Evaluation – San Jose, CA $180k to $325k We are hiring Software Engineers to improve the performance, reliability, and efficiency of AI agents for hardware applications. You'll identify failure modes, design and run evaluations, develop new agent capabilities, and turn successful experiments into production software. You'll join a sizable, rapidly growing team of software engineers, researchers, hardware experts, customers, and founding and field teams, working across customer discovery, evaluation design, applied research, product development, and deployment for a broad range of hardware-engineering problems. Responsibilities • Finding where AI agents fail, then designing and running evaluations to improve their performance, reliability, and efficiency • Building new agent capabilities, including tool interfaces, context management, memory, and multi-step or multi-agent orchestration • Digging into traces and experiment results to find bottlenecks, and telling real improvements apart from benchmark noise • Working with customers and domain experts to understand what they need, then shipping and maintaining fixes from start to finish (within about 3 months) • Turning successful experiments into well-built, maintainable production software Qualifications • Strong software engineering skills, particularly in Python and TypeScript. • Familiarity with modern language models, agent systems, and common ML workflows. • Strong communication skills, customer judgment, and the ability to identify the crux of ambiguous technical problems. • Self-directed and ambitious, with strong ownership, creativity, and product judgment. • Strong commitment to customer and business outcomes. • Experience with LLM agents, orchestration, tools, memory, tracing, ML inference, and transformer architectures • Ability to interface directly with customers to understand requirements and deliver technical solutions • 3 - 15 years of experience as a software engineer with work on large-scale agent systems • Experience at a rigorous tech company (Applied Intuition, Palantir, Tesla, etc.) or AI startup (Fireworks, Harvey, Y Combinator companies, etc.) Nice to Haves • Interest in EDA, RTL, or hardware-software systems. • Experience or interest in electronic design automation (EDA), semiconductor domains, RTL, or hardware-software systems Education • Bachelor's in CS, EE, or similar degree from a top university

Requirements

Must-haves

Software Engineer, Agent Harness & Evaluation – San Jose, CA
$180k to $325k
Finding where AI agents fail, then designing and running evaluations to improve their performance, reliability, and efficiency
Building new agent capabilities, including tool interfaces, context management, memory, and multi-step or multi-agent orchestration
Digging into traces and experiment results to find bottlenecks, and telling real improvements apart from benchmark noise
Working with customers and domain experts to understand what they need, then shipping and maintaining fixes from start to finish (within about 3 months)
Turning successful experiments into well-built, maintainable production software
Strong software engineering skills, particularly in Python and TypeScript.
Familiarity with modern language models, agent systems, and common ML workflows.
Strong communication skills, customer judgment, and the ability to identify the crux of ambiguous technical problems.
Self-directed and ambitious, with strong ownership, creativity, and product judgment.
Strong commitment to customer and business outcomes.
Experience with LLM agents, orchestration, tools, memory, tracing, ML inference, and transformer architectures
Ability to interface directly with customers to understand requirements and deliver technical solutions
3 - 15 years of experience as a software engineer with work on large-scale agent systems
Experience at a rigorous tech company (Applied Intuition, Palantir, Tesla, etc.) or AI startup (Fireworks, Harvey, Y Combinator companies, etc.)

Nice-to-haves

Interest in EDA, RTL, or hardware-software systems.
Experience or interest in electronic design automation (EDA), semiconductor domains, RTL, or hardware-software systems
Bachelor's in CS, EE, or similar degree from a top university

Application prep

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Keywords to mirror

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