AI Engineer - Nexus Black

IFS

$90K — $100K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4-8+ years as a software/AI engineer with experience in startup-like environments.
  • Proficient in Python and familiar with TypeScript for building production services.
  • Experience deploying LLM/agent systems including tool use and retrieval-augmented generation.
  • Skilled in evaluation techniques and observability for AI systems.
  • Understanding of vector databases and search patterns, with pragmatic indexing strategies.
  • Solid backend development skills and a focus on automation.
  • Ability to turn complex business problems into clear technical plans.

Responsibilities

  • Rapidly prototype AI agents and guided workflows based on customer needs.
  • Design and implement cloud-native backend services for orchestration of various tasks.
  • Build robust retrieval mechanisms in collaboration with data engineering teams.
  • Establish evaluation processes to enhance product quality and safety.
  • Contribute to developer experience with reusable tools and internal documentation.
  • Collaborate with customers and stakeholders to define and measure success metrics.
  • Lead design discussions and mentor teammates to improve code quality and team performance.

Benefits

  • Flexible paid time off, including sick and holiday.
  • Medical, dental, & vision insurance coverage.
  • 401K plan with company contributions.
  • Flexible spending accounts for health and dependent care.
  • Life insurance and disability coverage.
  • Tuition assistance for continued education.
  • Opportunities for community involvement and volunteering events.
Full Job Description
Job Description

We are seeking an AI Engineer with a builder's mindset to bring cutting-edge AI agents and workflows into production for IFS Nexus Black. You'll turn ambiguous customer problems into working prototypes in days/weeks, iterate in the field, and scale the winners into reliable products.

You will work across the stack-prompting, tools, retrieval, evaluation, guardrails, and backend services-collaborating closely with product, design, and data engineering. Expect high autonomy, direct exposure to customers, and a fast loop from idea 12 demo 12 production.

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

Qualifications

4-8+ years as a software/AI engineer, including shipping 0120 products or features in startup-like environments.
022 Strong in Python (and comfortable with TypeScript); able to build production services and integrate with external systems/APIs.
022 Proven experience taking LLM/agent systems to production (tool use, function calling, planning/exec, retrieval-augmented generation).
022 Hands-on with evaluation (offline/online), prompt engineering, tracing, and observability for AI systems.
022 Familiarity with vector databases/search, embeddings, and context/retrieval patterns; pragmatism about when/what to index.
022 Solid backend fundamentals (services, queues, data models, CI/CD, cloud) and a bias to automate what you repeat.
022 Excellent communication and product sense-able to turn fuzzy business problems into clear technical plans and measurable outcomes.
022 Fast mover: comfort with ambiguity, crisp prioritization, and the judgment to ship small, safe increments quickly.
022 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.

What We're Offering
  • Salary Range: $90,000 to $100,000 plus bonus
  • 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


Additional Information

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.

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