AI Native Engineer
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Key skills for this role
About the Role
TALENTMATE is seeking an AI-Native Software Engineer who treats AI as a core collaborative partner in software delivery. The role involves system architecture, context engineering, RAG pipeline design, and agentic workflow management.
Key Skills for This Role
Responsibilities
- Define high level system structures, API contracts, and data models before instructing AI tools to implement them
- Author rigorous, unambiguous technical specifications and context rules to guide AI agents
- Architect and own end to end Retrieval Augmented Generation pipelines
- Build and operate agent harnesses using orchestration frameworks (LangGraph, LangChain, AutoGen)
- Design and enforce human in the loop gates for agentic write operations
- Review, test, and audit AI generated code for security vulnerabilities, performance, edge cases, and architectural alignment
Requirements
- Strong mastery of computer science fundamentals (data structures, algorithms, distributed systems, system design)
- Exceptional ability to read, evaluate, and critique AI generated code across multiple languages
- Hands on production experience building agent harnesses and multi agent orchestration pipelines using LangGraph, LangChain, or equivalent
- Practical experience designing RAG pipelines including vector store selection, embedding strategies, hybrid search
- Advanced hands on experience with AI native IDEs (Cursor, Windsurf, GitHub Copilot) and command line agentic tools (Claude Code, Aider, Codex CLI)
- Proven ability to manage AI context windows, system instructions, tool schemas, and prompt structure
- Solid experience with cloud native deployment (Azure, AWS, or GCP), RESTful API design, async patterns, and enterprise identity/auth integration
- Strong experience writing automated test suites to validate AI generated logic inside CI/CD pipelines
- Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent deep production experience (preferred)
- Experience integrating with enterprise HR, workforce, or ERP platforms (e.g., SAP SuccessFactors, Workday) (preferred)
Full Job Posting
Job Summary
- Seeking an AI Native Software Engineer who views AI as a core collaborative partner.
- Role involves less manual boilerplate writing, more system architecture and orchestrating multi agent workflows.
Core Responsibilities
- System Architecture & Design: Define high level system structures, API contracts, data models.
- Context Engineering & Spec Writing: Author rigorous technical specifications.
- RAG Pipeline Design: Architect end to end RAG pipelines.
- Agentic Workflow Management: Build agent harnesses using LangGraph, LangChain, AutoGen.
- Human in the Loop Validation: Design HITL gates for agentic write operations.
- Review, test, and audit AI generated code.
Required Technical Skills
- Engineering Fundamentals: Strong CS fundamentals.
- Code Review & Auditing: Exceptional ability to evaluate AI generated code.
- Agentic System Design: Production experience with agent harnesses.
- RAG & Retrieval Engineering: Practical experience designing RAG pipelines.
- AI Tooling Proficiency: Advanced experience with AI native IDEs and command line tools.
- Context & Prompt Engineering: Proven ability to manage AI context windows.
- Cloud & API Integration: Solid experience with cloud native deployment and RESTful APIs.
- Testing & CI/CD: Strong experience writing automated test suites.
Preferred Qualifications
- Bachelor's or Master's in CS or equivalent.
- Experience with enterprise HR/ERP platforms (SAP SuccessFactors, Workday, etc.).
- Hands on ML experience beyond API consumption.
- Familiarity with enterprise identity providers (OKTA, Azure AD).
- Portfolio demonstrating agentic or spec driven development.
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