Senior/Staff Software Engineer - AI
Build AI-powered features for a modern engineering platform at Flow Engineering.
Posted by employer 1 day ago
First seen on Joblaze 5 hours ago
Last verified on the company career page 5 hours ago
Skills & Technologies
What you'll build
- Design and ship AI-powered features
- Build agentic workflows
- Evaluate and integrate language models
- Build and maintain surrounding infrastructure
- Partner with product and customers
Must have
- 5+ years developing production software
- Hands-on experience with modern LLM providers and tooling
Nice to have
- Familiarity with prompt design
- Comfortable working in a high-ownership environment
AI in the day-to-day
You will work on AI-powered capabilities that help teams author, review, and manage requirements more effectively.
Requirements
- Experience
- 5+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In this role, the engineer will focus on developing AI-driven features that enhance how teams manage and draft requirements, integrating AI into engineering workflows. Key skills include experience with large language models, cloud environments, and full-stack development, particularly using TypeScript, Node.js, and Python. This position is ideal for seasoned engineers with a strong background in production software and a knack for rapid iteration in a collaborative setting. Flow Engineering emphasizes a fast-paced, ownership-driven culture where experimentation is encouraged.
Joblaze insights
- Listed today — first seen on Joblaze October 21, 2026. Last confirmed on Flow Engineering's careers page October 21, 2026.
Quick facts
- How much experience is required?
- At least 5 years of relevant experience for this Senior/Staff Software Engineer - AI role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Node.js, PostgreSQL, Python, TypeScript.
- What seniority level is this role?
- Flow Engineering targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior/Staff Software Engineer - AI role at Flow Engineering.
From the original posting
About the role
Flow is seeking software engineers to build AI-powered capabilities that help teams author, review, and manage requirements more effectively. You will work on agentic systems engineer and agentic domain engineer workflows—bringing AI into the center of how teams reason about their systems.
This role sits at the intersection of AI, product, and full-stack engineering: you will take ideas from prototype all the way to stable, observable features in production.
What you’ll do
Design and ship AI-powered features such as assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions for systems and domain engineers.
Build agentic workflows that help “agentic systems engineers” and “agentic domain engineers” explore designs, simulate changes, and validate requirements.
Evaluate and integrate language models and related tooling, optimizing for reliability, latency, cost, and debuggability in production.
Build and maintain the surrounding infrastructure: data pipelines, evaluation harnesses, prompt and model management, observability, and safety/guardrails.
Work across the stack—from backend integrations and APIs to simple UI hooks—to deliver complete AI features, not just model endpoints.
Partner with product and customers to identify high-value workflows, run experiments, and iterate quickly based on usage.
About you
5+ years developing production software, including designing, testing, and operating services at scale in a cloud environment.
Hands-on experience with modern LLM providers and tooling (e.g., OpenAI, Anthropic, Hugging Face, vector stores, RAG patterns).
Familiarity with prompt design, retrieval-augmented systems, evaluation methods, and safety/guardrail approaches.
Ability to reason about tradeoffs between different models, architectures, and deployment patterns and make pragmatic decisions.
Comfortable working in a high-ownership, fast-paced environment where experiments and iteration are the norm.
Our stack (AI-leaning)
TypeScript/Node.js and Python for AI and backend services.
Modern LLM APIs and orchestration libraries for building agentic workflows.
Postgres and other managed cloud services for data and state.
How we work & values
Speed over everything: prototype AI workflows quickly, then harden what works.
Own, downscope, ship, iterate: one clear owner per feature, from prototype to production.
Fundamentals done well: evaluation, observability, and safety are part of the first version, not an afterthought.
Competitive salary and meaningful equity.
Health, dental, and vision coverage.
Flexible time off and support for experimentation, learning, and staying current with the AI ecosystem.
Standard company text repeated across Flow Engineering's postings is omitted here.