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About TrueFoundry
Every production AI system, whether it's powering customer support, writing code, analyzing financial data, or diagnosing medical conditions, needs the same foundational infrastructure.A way to route between models. A way to manage tools and integrate them securely. A way to orchestrate agents and enforce governance. A unified compute layer to run it all.
That infrastructure layer is being built right now.
We're TrueFoundry, and we're building it. We're looking for Senior Software Engineer -Core Engineering to join the team.
The Problem We're Solving
Companies are moving beyond simple chatbots to production agentic systems. These systems route between OpenAI, Anthropic, Google, and self-hosted models. They integrate dozens of tools via protocols like MCP. They orchestrate multi-agent workflows where agents coordinate with other agents.
The infrastructure to support this doesn't exist yet. You can't just duct-tape together a few API calls and call it production-ready.
You need a control plane that handles:
We've built two products to solve this:
AI Gateway is the control plane, five composable components (Prompts, LLM Gateway, MCP Gateway, Guardrails, Agent Gateway) that handle routing, orchestration, and governance.
AI Deploy is the compute layer, a Kubernetes-based platform that abstracts ML workloads as standard software primitives, so everything runs on unified infrastructure.
We're Series A, backed by Intel Capital and Sequoia. Companies like CVS, Mastercard, Siemens, Paytm, Synopsys, and Zscaler run production AI workloads on our platform.
You will:
This is a high-ownership, high-impact role designed for an engineer who loves combining world-class systems thinking with real-world execution.
What You'll Do:
Who You Are:
Why Join TrueFoundry
Flexible hours, learning credits, and the opportunity to work shoulder-to-shoulder with the co-founders (Abhishek & Nikunj).
Job ID: 148221971
Skills:
.NET, Angular, Docker, Restful Apis, Kubernetes, Python, asynchronous programming techniques, AI platform development, observability practices, NLP frameworks, enterprise software engineering, scalable microservices architectures, CI CD pipelines, cloud-native architectures, AI inference services, Agile delivery practices
Skills:
snowflake , Rpc, Prometheus, Kafka, Json, Grafana, Microservices, Nosql, React, Typescript, Javascript, Terraform, Docker, Design Patterns, Distributed Systems, Python, AWS, Java, Apache Flink, Solid Principles, Node.js, Sql, REST, Html5, Databricks, Azure, Kubernetes, GenAI, GRPC, object-oriented design, OpenTelemetry, cloud-native technologies, OpenAPI
Skills:
model selection , Distributed Systems, Cloud Infrastructure, rollback experimentation, automated regression frameworks, fallback strategies, unconstrained interaction models, offline test sets, real-time performance monitoring, live traffic sampling, model serving infrastructure, caching strategies, AI capability routing and orchestration, ML inference infrastructure, intent orchestration, model and prompt release gating, latency optimization, Speech Processing, evaluation and quality assurance infrastructure, observability tooling, large-scale AI platform engineering, intelligent query classification
Skills:
.NET, Nunit, Design Patterns, Tfs, Oauth2, Asp.net Mvc, Solid Principles, Jasmine, Mssql, Css3, Sql Profiler, Moq, jQuery, Typescript, Javascript, Webapi, Html5, Cosmos DB, Karma, MS Test, N-tier architectures, OpenIDC, Angular 2 or above
Skills:
agile environment , Design Patterns, Scalability, Gen AI, Architectural Design, Efficiency, Extensibility, Large-scale distributed systems, Reliability
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