Senior Software Engineer

Tenext.ai (Arbolo AI Inc.) | Full-time | Hybrid, Rockwell, Makati | Competitive Salary + HMO

About Tenext.ai.

The Philippines is the call center capital of the world, and that industry is about to be rebuilt as software. In the US, Sierra and Decagon are leading the rebuild at $15 billion and $4.5 billion valuations. What money can't buy is instinct.

This country earned it: a generation of handling the world's customers, better than anyone. Tenext, Filipino-owned, is turning that instinct into software. The proof: head to head, our agents beat products from incumbents who've raised 80x more than we have, on every KPI our clients measure.

Every agent is AI. No floor, no headsets, no hold music. A customer gets answered on the first ring, at 2am, on a holiday. Enterprise clients are in production today, more are closing this quarter, and we're closing our latest funding round to grow the team and move faster. Next: Southeast Asia.

About the Role

You'll be an experienced engineer on the small team that builds our agents: voice and chat systems serving live customers of insurers and financial services companies, right now, in production. You'll own features end to end and real pieces of the platform: conversational flows, RAG pipelines, the latency and cost curves of real-time voice, and the quality of what ships. You'll work directly with the founder and the founding engineer, with far more ownership than a 4-10 year engineer gets anywhere corporate.

Here's the honest version: this is enterprise AI at startup speed. Our clients are financial services companies who expect uptime and take security seriously, and our roadmap moves weekly. You'll ship fast and be accountable for what you ship, because when our agent mishandles a call, it's a real customer of a real financial institution on the line. If you want a spec handed to you, this isn't the seat. If you want to build production AI agents for an entire industry, there are very few rooms in the country where that's happening, and this is one of them.

What You'll Do

• Build and evolve our agent platform: conversational flows, RAG pipelines, tool-calling and multi-agent patterns, and the services that tie them together
• Ship end to end across the stack: Python AI services (FastAPI) and the NestJS + Next.js application layer, from schema to API to frontend
• Integrate and tune LLMs in production: OpenAI, Anthropic, and open-source models, with the judgment calls on when and how to use each
• Care for production quality in real time: latency, streaming, uptime, token costs, and systematic evaluation of agent outputs
• Help raise the team's bar: review code, share what you know with junior teammates, and push our standards up as we grow
• Work with AI-native speed: Cursor, Claude, Copilot, or similar, daily, with strong opinions on where these tools are sharp and where they lie
• Make sound architectural designs considering compliance, security, cost and reliability

Who You Are

• You have 4-10 years of professional software engineering experience
• You are strong across Python and TypeScript, and comfortable moving between frontend, backend, and AI layers in the same week
• You have deep expertise in cloud platforms (AWS, GCP, or Azure), and have designed, deployed, and operated production services there. You make sound architectural, cost, security, and reliability decisions.
• You use AI coding tools daily and critically: they make you faster, and you catch them when they're wrong
• You have owned a product's delivery end-to-end

What You'll Get

• Competitive Salary, depending on experience, plus HMO with dependent coverage and full statutory benefits
• Hybrid setup in Rockwell, Makati
• Scope you won't get at a big company: real ownership of platform pieces, not tickets off someone else's backlog
• A clear path to senior as the team grows, and the early hires define what this team becomes
• Production AI at real scale: your systems answer live calls for major financial institutions, today
• A team where AI-native isn't a slogan: it's how everyone works, every day