AI Engineer
Posted 12 Oct 2026
Advertised as “AI Engineer - Agentic Workflows”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 2–4 yrs
- Management level
- People management
- Employment
- Hybrid
- Contract
- Full-time
No salary listed for this role.
Our opportunity
AI Engineer – Agentic Workflows
We're seeking an AI Engineer – Agentic Workflows to design, implement, and own generative AI systems in production.
You will independently lead technical initiatives, architect agentic workflows, and drive reliability improvements across multi-step LLM systems. Working with LangGraph (or similar frameworks) and leading LLM providers, you'll translate complex business problems into scalable, production-ready solutions.
A core part of this role is establishing evaluation practices, observability standards, and cost optimization strategies while mentoring junior engineers and contributing to team technical direction.
Your role
As AI Engineer, your main responsibilities will involve:
- Design & Own Workflows: Build end-to-end agentic workflows (e.g., LangGraph), balancing complexity, performance, and maintainability.
- Problem Solving: Translate ambiguous business needs into structured technical solutions and architectures.
- Reusable Components: Develop production-grade agents, tools, and skills with clear interfaces, tests, and documentation.
- Architecture Decisions: Select frameworks and design patterns based on use cases and constraints.
- Model Integration: Manage multi-LLM integrations, optimizing for latency, cost, and quality.
- Evaluation & Quality: Define metrics, datasets, and guardrails to ensure reliability and prevent regressions.
- Data Architecture: Design schemas and validation layers for reliable, structured data flows.
- Observability & Support: Implement logging, monitoring, and incident response practices.
- AI-Driven Dev: Use AI tools to accelerate development while maintaining code quality.
- Cross-functional Leadership: Align with product, data, and engineering teams to deliver solutions.
- Mentorship: Support and guide junior engineers on best practices.
Your Skills and Experience
As AI Engineer, your skills and experience will ideally include:
- 2-4 years of professional software engineering, data science, or AI engineering experience
- At least 2 years of hands-on experience building production generative AI systems
- Strong Python expertise with demonstrated software engineering fundamentals (testing, CI/CD, code review)
- Production experience with LLM-based systems, including advanced prompting techniques, API integration, and workflow orchestration
- Proven experience with LangGraph or similar agentic frameworks (LangChain, CrewAI, AutoGen, or custom orchestration)