IFS is looking to bring cutting-edge AI agents and workflows into production for IFS Nexus Black, turning ambiguous customer problems into working prototypes and scaling them into reliable products.
Requirements
- 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.
- 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.
Responsibilities
- 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.
Other
- 4–8+ years as a software/AI engineer, including shipping 01 products or features in startup-like environments.
- Excellent communication and product sense—able to turn fuzzy business problems into clear technical plans and measurable outcomes.
- We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
