Software Engineer : AI Performance
About the Role
DevRev is ushering in the SaaS 2.0 era — where enterprise software is not just connected, but intelligent. Our mission is to reintroduce the Computer to the enterprise: not as a form filler or a workflow router, but as an agent that thinks, reasons, and acts on behalf of users. We’re looking for seasoned software engineers who have built and scaled applications, APIs, and cloud architectures — and are ready to level up into AI performance and benchmarking. You don’t need prior AI experience — just strong engineering fundamentals, curiosity, and the drive to learn. DevRev will provide structured training and mentorship to help you bridge into this next frontier of engineering.
What You’ll Do
Participate in a structured training track to develop expertise in AI benchmarking, profiling, and performance tuning.
Build and scale benchmarking infrastructure for evaluating AI systems in enterprise settings.
Design agent evaluation pipelines that measure reasoning, accuracy, alignment, and user outcomes.
Participate in a structured AI benchmarking training track, gaining expertise in profiling, telemetry, and performance tuning.
Collaborate with AI and Infra teams to instrument model-serving systems (vLLM, Triton, Ray, or Kubernetes-based deployments).
Develop data and telemetry pipelines that capture model performance, latency, and quality
Contribute to DevRev’s open benchmarking frameworks, defining how intelligent SaaS software is measured globally.
Work with cross-functional teams to ensure benchmarks reflect real-world customer value and system impact.
What You'll Bring
3–10+ years of experience as a Software Engineer in backend, systems, or infrastructure roles
Strong foundation in Python or similar backend languages — Go, Java, C#, or Node.js
Hands-on experience in building APIs and cloud-native architectures (AWS, GCP, or Azure; Kubernetes a plus)
Understanding of metrics, profiling, or observability tools (Grafana, Prometheus, ELK, or similar)
Curiosity and commitment to learn AI benchmarking, LLM evaluation, and performance frameworks
Strong analytical and product intuition — you care about what the benchmark represents, not just what it measures
Bonus: exposure to vector search, model tuning (LoRA, DPO), or open-source contributions
Why This Role Matters
Agents are not APIs — they reason, adapt, and learn. But with that power comes ambiguity in how we measure success. At DevRev, we believe the benchmarks of the past aren’t enough for the software of the future.This role is your opportunity to design the KPIs of the AI-native enterprise — to bring rigor to systems that reason, and structure to software that thinks.Join us to shape how intelligence is measured in SaaS 2.0.
About the job
Apply for this position
Software Engineer : AI Performance
About the Role
DevRev is ushering in the SaaS 2.0 era — where enterprise software is not just connected, but intelligent. Our mission is to reintroduce the Computer to the enterprise: not as a form filler or a workflow router, but as an agent that thinks, reasons, and acts on behalf of users. We’re looking for seasoned software engineers who have built and scaled applications, APIs, and cloud architectures — and are ready to level up into AI performance and benchmarking. You don’t need prior AI experience — just strong engineering fundamentals, curiosity, and the drive to learn. DevRev will provide structured training and mentorship to help you bridge into this next frontier of engineering.
What You’ll Do
Participate in a structured training track to develop expertise in AI benchmarking, profiling, and performance tuning.
Build and scale benchmarking infrastructure for evaluating AI systems in enterprise settings.
Design agent evaluation pipelines that measure reasoning, accuracy, alignment, and user outcomes.
Participate in a structured AI benchmarking training track, gaining expertise in profiling, telemetry, and performance tuning.
Collaborate with AI and Infra teams to instrument model-serving systems (vLLM, Triton, Ray, or Kubernetes-based deployments).
Develop data and telemetry pipelines that capture model performance, latency, and quality
Contribute to DevRev’s open benchmarking frameworks, defining how intelligent SaaS software is measured globally.
Work with cross-functional teams to ensure benchmarks reflect real-world customer value and system impact.
What You'll Bring
3–10+ years of experience as a Software Engineer in backend, systems, or infrastructure roles
Strong foundation in Python or similar backend languages — Go, Java, C#, or Node.js
Hands-on experience in building APIs and cloud-native architectures (AWS, GCP, or Azure; Kubernetes a plus)
Understanding of metrics, profiling, or observability tools (Grafana, Prometheus, ELK, or similar)
Curiosity and commitment to learn AI benchmarking, LLM evaluation, and performance frameworks
Strong analytical and product intuition — you care about what the benchmark represents, not just what it measures
Bonus: exposure to vector search, model tuning (LoRA, DPO), or open-source contributions
Why This Role Matters
Agents are not APIs — they reason, adapt, and learn. But with that power comes ambiguity in how we measure success. At DevRev, we believe the benchmarks of the past aren’t enough for the software of the future.This role is your opportunity to design the KPIs of the AI-native enterprise — to bring rigor to systems that reason, and structure to software that thinks.Join us to shape how intelligence is measured in SaaS 2.0.