Location: Remote, Argentina
Type: Contract (full-time hours, overlapping US Central business hours)
The engagementYou'll work with Flynn, a company spun out of Equips (a leader in equipment maintenance services for financial institutions and healthcare organizations). Flynn is building AI agents for field service work, giving technicians the knowledge they need to fix complex equipment on-site, the first time, every time. Flynn already has live users and is rolling out to its first customers, so this is real and in-use software from day one.
You'll join a team building production agentic AI systems, using LangChain, LangGraph, and LangSmith as the core stack. Everything ships under real usage, real data, and real multi-tenant pressure.
What you'll be doing- Build and ship AI-enabled applications end to end, using LangChain, LangGraph, and LangSmith, covering retrieval and agent orchestration through to the pipelines that feed them.
- Own technical delivery across the full stack: backend services (Python/FastAPI) through to modern web UIs (TypeScript/React).
- Help define and build out evaluation practices, working with subject-matter experts to define what a correct answer looks like, and catching quality regressions before users do.
- Practice TDD and continuous refactoring so the code you hand off is reliable, maintainable, and understandable by whoever touches it next.
- Collaborate closely with designers, product managers, and Flynn stakeholders to continuously deliver working software.
- Production experience with LLM systems: RAG pipelines, vector databases, chunking strategy, and structured schema/prompt design.
- Hands-on experience with agentic workflows, including tool calls and multi-agent orchestration, and a real agent framework (LangChain, LangGraph, or comparable).
- Experience building evaluations to catch quality regressions, using a repeatable process, not just checking outputs by hand.
- Full-stack range: comfortable across Python (FastAPI or equivalent) and TypeScript/React, with a track record of shipping both sides of production software.
- A strong track record delivering software in collaborative, agile, client-facing environments.
- Genuine belief that code quality matters. TDD and pairing aren't overhead to you, they're how strong systems and strong teams get built.
- Ability to explain technical risk in clear terms a non-technical stakeholder can act on, and to raise problems along with possible solutions.
- Strong written and spoken English (you'll be working directly with US-based teammates and client stakeholders).
- Full availability to overlap with US Central time business hours.
- Experience with multi-tenant systems (systems that safely serve many different customers at once), or a strong instinct for keeping customer data separate and limiting the impact of any failure.
- Data pipeline orchestration experience (Prefect, Dagster, Airflow, or similar).
- Observability/tracing experience for LLM systems.
- Experience in industrial, field service, or another domain where errors carry physical consequences.
- AWS infrastructure.
Skills Required
- Production experience building LLM systems, including RAG pipelines, vector databases, chunking strategies, and structured schema or prompt design
- Hands-on experience with agentic workflows, tool calls, multi-agent orchestration, and LangChain, LangGraph, or a comparable agent framework
- Experience building repeatable evaluations to identify quality regressions
- Production full-stack development experience with Python and FastAPI or equivalent, plus TypeScript and React
- Track record delivering software in collaborative, agile, client-facing environments
- Commitment to code quality, test-driven development, pairing, and continuous refactoring
- Ability to explain technical risks clearly to non-technical stakeholders and propose solutions
- Strong written and spoken English
- Full availability during US Central business hours
- Experience with multi-tenant systems and customer data isolation
- Data pipeline orchestration experience with Prefect, Dagster, Airflow, or similar
- Observability or tracing experience for LLM systems
- Experience in industrial, field service, or another domain where errors have physical consequences
- AWS infrastructure experience
Focused Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Focused and has not been reviewed or approved by Focused.
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Parental & Family Support — Paid leave is offered for both birth and non-birth parents, with a structured transition period to ease the return to work. Adoption assistance and company-sponsored family events reinforce a family-friendly environment.
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Retirement Support — A 401(k) plan includes employer matching with no vesting period, supporting long-term savings. The presence of a clear match structure signals a stable retirement benefit.
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Leave & Time Off Breadth — Generous PTO combines vacation, sick days, and floating holidays to support work-life balance. Company materials emphasize using time off and taking breaks to maintain wellbeing.
Focused Insights
What We Do
Focused is a software services company that builds agentic AI and custom software. Our expert engineers and designers build custom agents that integrate seamlessly with the systems you already run. What sets Focused apart is our hands-on, collaborative approach. We don’t just build and deliver software, we partner with your teams to ensure that we are building the right solution to meet both present and future demands.
Why Work With Us
We love to write code, and if you do too, you will love Focused. Everything we do from our sustainable pace to minimal meetings is designed to optimize your time writing software! Focused is truly a place to grow or hone your software craft - you could see 2-3 clients in a year and each one presents things to learn.
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