CA
Founding Engineer
Accepting applicationsCenara AI · India
Full-Time Entry AIaiaterf
Posted
3d ago
Category
Manufacturing
Experience
Entry
Country
India
A few honest things up top
This is a full-time hybrid role and we work 60+ hours a week.
Open to exceptional global talent.
We're a lean team and you'll work directly with me, the solo founder.
You're not expecting fancy offices and are OK with garage setup.
You want to bet on upside over market salaries.
This is for builders who thrive on ownership and big swings only.
About Cenara
Cenara is autopilot for revenue teams. We sit on top of the CRM, read the signals across email, calendar, and meetings, and surface the next move before a rep thinks to ask. Antler-backed, early, and moving fast. The product is real, the users are real, and the marketing is wide open for someone to own.
What you'll do
You'll write and ship full-stack features end to end, from frontend UI, to backend AI logic, to the database, and infra. The product is early. You won't just be building features; you'll help shape the trajectory of the company and the future of how orgs make revenue decisions. Examples of what you might work on:
Build a signal processor that turns unstructured data into actionable insights powered by AI agents.
Create lightweight interfaces for sales leaders that surface confident actions with one-click workflows.
Talk to early users, debug live pipeline issues, ship fixes same-day.
Make product calls on ambiguity, unblock yourself, and own the stack from 0 → 1.
${your ideas} here.
This role is ideal if you
Are a strong full-stack, product-minded engineer who enjoys owning products, not just code.
Love using AI in your work — your dev stack is fully AI-enabled and you've built AI-enabled products or prototypes.
Like turning messy, high-stakes workflows into clean, usable systems.
Want to make product and UX decisions directly, without waiting on PMs or designers.
Are low-ego and comfortable getting along with everyone.
Are comfortable with ambiguity and making tradeoffs.
Minimum
3+ years engineering, with a strong track record of shipping 0 → 1 products (including time shipping production software).
You've built and deployed agent-like systems: multi-step LLM pipelines, tool-using bots, scripted assistants, or similar.
Fluent across the stack: backend APIs, frontend UIs, databases. End-to-end ownership.
RAG pipelines (embeddings, vector DBs, chunking strategies).
Agent memory systems (scratchpads, history compression, summarization).
Tool use and orchestration (calling real APIs, using plugins, auth flows).
Evaluation: success metrics, regression testing, improving agent behavior over time.
You write production-grade code and can work across systems without needing a spec.
You thrive in fast-paced, product-first environments where the goal is shipping.
Comfortable with startup ambiguity: unblock yourself, pragmatic trade-offs, no perfect specs needed.
Backgrounds that tend to succeed
Product-minded engineers who've built internal tools or workflow systems end-to-end.
Engineers with experience in building full stack applications or workflow software.
Former founders or early-stage startup engineers.
Engineers who have owned both backend systems and frontend / user experience.
Show more Show less
This is a full-time hybrid role and we work 60+ hours a week.
Open to exceptional global talent.
We're a lean team and you'll work directly with me, the solo founder.
You're not expecting fancy offices and are OK with garage setup.
You want to bet on upside over market salaries.
This is for builders who thrive on ownership and big swings only.
About Cenara
Cenara is autopilot for revenue teams. We sit on top of the CRM, read the signals across email, calendar, and meetings, and surface the next move before a rep thinks to ask. Antler-backed, early, and moving fast. The product is real, the users are real, and the marketing is wide open for someone to own.
What you'll do
You'll write and ship full-stack features end to end, from frontend UI, to backend AI logic, to the database, and infra. The product is early. You won't just be building features; you'll help shape the trajectory of the company and the future of how orgs make revenue decisions. Examples of what you might work on:
Build a signal processor that turns unstructured data into actionable insights powered by AI agents.
Create lightweight interfaces for sales leaders that surface confident actions with one-click workflows.
Talk to early users, debug live pipeline issues, ship fixes same-day.
Make product calls on ambiguity, unblock yourself, and own the stack from 0 → 1.
${your ideas} here.
This role is ideal if you
Are a strong full-stack, product-minded engineer who enjoys owning products, not just code.
Love using AI in your work — your dev stack is fully AI-enabled and you've built AI-enabled products or prototypes.
Like turning messy, high-stakes workflows into clean, usable systems.
Want to make product and UX decisions directly, without waiting on PMs or designers.
Are low-ego and comfortable getting along with everyone.
Are comfortable with ambiguity and making tradeoffs.
Minimum
3+ years engineering, with a strong track record of shipping 0 → 1 products (including time shipping production software).
You've built and deployed agent-like systems: multi-step LLM pipelines, tool-using bots, scripted assistants, or similar.
Fluent across the stack: backend APIs, frontend UIs, databases. End-to-end ownership.
RAG pipelines (embeddings, vector DBs, chunking strategies).
Agent memory systems (scratchpads, history compression, summarization).
Tool use and orchestration (calling real APIs, using plugins, auth flows).
Evaluation: success metrics, regression testing, improving agent behavior over time.
You write production-grade code and can work across systems without needing a spec.
You thrive in fast-paced, product-first environments where the goal is shipping.
Comfortable with startup ambiguity: unblock yourself, pragmatic trade-offs, no perfect specs needed.
Backgrounds that tend to succeed
Product-minded engineers who've built internal tools or workflow systems end-to-end.
Engineers with experience in building full stack applications or workflow software.
Former founders or early-stage startup engineers.
Engineers who have owned both backend systems and frontend / user experience.
Show more Show less