AINative Engineer

We are seeking an AINative Software Engineer who views AI not just as an autocomplete tool but as a core collaborative partner in software delivery In this role you will spend less time manually writing boilerplate and more time architecting systems designing precise technical specifications and orchestrating multiagent workflows Core Responsibilities System Architecture Design Define highlevel system structures API contracts and data models before instructing AI tools to implement them Own the design not just the execution Context Engineering Spec Writing Author rigorous unambiguous technical specifications and context rules to guide AI agents toward deterministic reviewable outputs RAG Pipeline Design Architect and own endtoend RetrievalAugmented Generation pipelines document ingestion chunking strategy embedding selection vector store configuration hybrid retrieval and relevance evaluation Agentic Workflow Management Build and operate agent harnesses using orchestration frameworks e g LangGraph LangChain AutoGen including tool definitions routing logic guardrails fallback paths and evaluation hooks HumanintheLoop Validation Design and enforce HITL gates for agentic write operations Know when to automate and when to require human signoff especially for irreversible or highstakes actions Review test and audit AIgenerated code for security vulnerabilities performance characteristics edge cases and architectural alignment before it reaches production Required Technical Skills Engineering Fundamentals Strong mastery of computer science fundamentals data structures algorithms distributed systems and system design You must be able to catch and correct AI errors because you understand the underlying systems Code Review Auditing Exceptional ability to read evaluate and critique AIgenerated code across multiple languages rapidly Agentic System Design Handson production experience building agent harnesses multiagent orchestration pipelines and supervisor routing patterns using frameworks such as LangGraph LangChain or equivalent RAG Retrieval Engineering Practical experience designing RAG pipelines including vector store selection embedding strategies hybrid search Reciprocal Rank Fusion and retrieval quality evaluation AI Tooling Proficiency Advanced handson experience with AInative IDEs e g Cursor Windsurf GitHub Copilot and commandline agentic tools e g Claude Code Aider Codex CLI Context Prompt Engineering Proven ability to manage AI context windows system instructions tool schemas and prompt structure to produce consistent auditable outputs Cloud API Integration Solid experience with cloudnative deployment Azure AWS or GCP RESTful API design async patterns and enterprise identity auth integration Testing CI CD Strong experience writing automated test suites to validate AIgenerated logic inside modern CI CD pipelines including adversarial and edgecase coverage Skills Preferred Qualifications Bachelor s or Master s degree in Computer Science Software Engineering or equivalent deep production experience Experience integrating with enterprise HR workforce or ERP platforms e g SAP SuccessFactors Workday Concur or Oracle HCM particularly in an agentic or API integration context Handson ML experience beyond API consumption model finetuning training pipelines evaluation frameworks or MLOps deployment Familiarity with enterprise identity providers e g OKTA Azure AD and secure token handling in agentic contexts A portfolio or GitHub repository demonstrating projects built primarily via agentic or specdriven development methodologies