AI Engineer

IFS

AI Engineer at IFS building cutting-edge AI agents and workflows for enterprise solutions. Collaborating closely on prototypes, products, and real customer challenges in a flexible environment.

Posted 6/4/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $90,000 - $100,000 per yearWebsite

Tech Stack

Tools & technologies

AssemblyCloudPythonTypeScript

About the role

Key responsibilities & impact

Rapidly prototype AI agents and guided workflows that solve concrete customer problems; ship thin slices, instrument, and iterate with real usage.
Design and implement cloud-native backend services that orchestrate prompts, tools, retrieval, and automations; own the path from POC to production.
Build robust retrieval for LLMs (search/vector pipelines, context assembly, tool selection) in partnership with data engineering.
Establish evaluation loops: offline/online tests, golden sets, regression checks, and human-in-the-loop review to measurably improve quality and safety.
Contribute to developer experience: reusable agents/tools, SDKs, templates, and internal documentation that speed up future builds.
Collaborate with customers and internal stakeholders to frame problems, define success metrics, and translate insights into productizable solutions.
Lead design discussions and code reviews; mentor teammates and raise the quality bar while keeping momentum high.

Requirements

What you’ll need

4–8+ years as a software/AI engineer, including shipping 0→1 products or features in startup-like environments
Strong in Python (and comfortable with TypeScript); able to build production services and integrate with external systems/APIs
Proven experience taking LLM/agent systems to production (tool use, function calling, planning/exec, retrieval-augmented generation)
Hands-on with evaluation (offline/online), prompt engineering, tracing, and observability for AI systems
Familiarity with vector databases/search, embeddings, and context/retrieval patterns; pragmatism about when/what to index
Solid backend fundamentals (services, queues, data models, CI/CD, cloud) and a bias to automate what you repeat
Excellent communication and product sense—able to turn fuzzy business problems into clear technical plans and measurable outcomes
Fast mover: comfort with ambiguity, crisp prioritization, and the judgment to ship small, safe increments quickly
Nice-to-have: open-source contributions, hackathon wins, or a portfolio of shipped side projects; experience at both an early-stage startup and a larger-scale system.

Benefits

Comp & perks

Flexible paid time off, including sick and holiday
Medical, dental, & vision insurance
401K with Company contribution
Flexible spending accounts
Life insurance and disability benefits
Tuition assistance
Community involvement and volunteering events

ATS Keywords

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Hard Skills & Tools

PythonTypeScriptAI engineeringLLM systemsprompt engineeringevaluation methodscloud-native servicesbackend developmentCI/CDdata modeling

Soft Skills

communicationproduct senseproblem framingmentoringprioritizationjudgmentcollaborationadaptabilitydesign discussionquality assurance