Founding Engineer - Diversifi Bengaluru (remote-friendly) 1-3 years 10-12L + 2-3% equity
We're a SEBI-registered RIA building an AI portfolio analyst for Indian retail investors. The product is live, has real users, and we're at the stage where the next engineer's decisions actually shape what the company becomes.
You'd be the first engineering hire, working directly with me (founder, ex-product lead at FloBiz). The stack is Python on GCP (Cloud Run, Postgres, Firebase) with a Flutter app on top. Most of the interesting work right now is on the backend and AI side: LLM orchestration, agentic workflows, data pipelines, and the quant layer underneath the recommendations.
What you'll own
You'll take on a large part of engineering execution across:
Backend feature work, debugging, and reliabilityLLM orchestration and AI workflows (chat, agents, evals)Data pipelines and internal toolsPerformance, coverage, and engineering velocityScope expands over time based on your strengths and where the product needs to go.
What I'm looking for
1-3 years of engineering experience, strong backend fundamentalsComfortable in Python, APIs, databases, production systemsCan take a vague problem, scope it, ship it, and own the outcome without hand-holdingHave built or genuinely want to build with LLMs, agents, or AI orchestrationHigh ownership. You don't wait for specs, you write themComfortable with ambiguity, fast iteration, and being wrong sometimesNice to have
Experience with LLM workflows, evals, or agent systems in productionInterest in finance, investing, or building for retail investorsComfort with async jobs, background workers, GCPWhat you should know before applying
We're early-stage and running lean, with investment from NSUT IIF (SISFS scheme). Cash is below market, and equity is meant to make that tradeoff meaningfulTeam is small (4 today) and stretched. You'll have huge scope and direct impact, but no polished onboarding, no layers of process, and no one to escalate to.Remote-friendly, but Bengaluru-based candidates have a slight edge for occasional in-person work.Process: short async screen, technical conversation, paid 2-3 day trial on a real ticket, founder fit conversation. Fast loop, decision within 2 weeks of first contact.To apply
You can apply through the LinkedIn post, but to stand out, email with:
Resume A short note: what you've built, why this roleLinks to GitHub, side projects, or anything you've shippedOne technical decision you've made that you'd revisit, and why Read LessFounding Engineer - Diversifi Bengaluru (remote-friendly) 1-3 years 10-12L + 2-3% equity
We're a SEBI-registered RIA building an AI portfolio analyst for Indian retail investors. The product is live, has real users, and we're at the stage where the next engineer's decisions actually shape what the company becomes.
You'd be the first engineering hire, working directly with me (founder, ex-product lead at FloBiz). The stack is Python on GCP (Cloud Run, Postgres, Firebase) with a Flutter app on top. Most of the interesting work right now is on the backend and AI side: LLM orchestration, agentic workflows, data pipelines, and the quant layer underneath the recommendations.
What you'll own
You'll take on a large part of engineering execution across:
Backend feature work, debugging, and reliabilityLLM orchestration and AI workflows (chat, agents, evals)Data pipelines and internal toolsPerformance, coverage, and engineering velocityScope expands over time based on your strengths and where the product needs to go.
What I'm looking for
1-3 years of engineering experience, strong backend fundamentalsComfortable in Python, APIs, databases, production systemsCan take a vague problem, scope it, ship it, and own the outcome without hand-holdingHave built or genuinely want to build with LLMs, agents, or AI orchestrationHigh ownership. You don't wait for specs, you write themComfortable with ambiguity, fast iteration, and being wrong sometimesNice to have
Experience with LLM workflows, evals, or agent systems in productionInterest in finance, investing, or building for retail investorsComfort with async jobs, background workers, GCPWhat you should know before applying
We're early-stage and running lean, with investment from NSUT IIF (SISFS scheme). Cash is below market, and equity is meant to make that tradeoff meaningfulTeam is small (4 today) and stretched. You'll have huge scope and direct impact, but no polished onboarding, no layers of process, and no one to escalate to.Remote-friendly, but Bengaluru-based candidates have a slight edge for occasional in-person work.Process: short async screen, technical conversation, paid 2-3 day trial on a real ticket, founder fit conversation. Fast loop, decision within 2 weeks of first contact.To apply
You can apply through the LinkedIn post, but to stand out, email with:
Resume A short note: what you've built, why this roleLinks to GitHub, side projects, or anything you've shippedOne technical decision you've made that you'd revisit, and why Read LessFounding Engineer - Diversifi Bengaluru (remote-friendly) 1-3 years 10-12L + 2-3% equity
We're a SEBI-registered RIA building an AI portfolio analyst for Indian retail investors. The product is live, has real users, and we're at the stage where the next engineer's decisions actually shape what the company becomes.
You'd be the first engineering hire, working directly with me (founder, ex-product lead at FloBiz). The stack is Python on GCP (Cloud Run, Postgres, Firebase) with a Flutter app on top. Most of the interesting work right now is on the backend and AI side: LLM orchestration, agentic workflows, data pipelines, and the quant layer underneath the recommendations.
What you'll own
You'll take on a large part of engineering execution across:
Backend feature work, debugging, and reliabilityLLM orchestration and AI workflows (chat, agents, evals)Data pipelines and internal toolsPerformance, coverage, and engineering velocityScope expands over time based on your strengths and where the product needs to go.
What I'm looking for
1-3 years of engineering experience, strong backend fundamentalsComfortable in Python, APIs, databases, production systemsCan take a vague problem, scope it, ship it, and own the outcome without hand-holdingHave built or genuinely want to build with LLMs, agents, or AI orchestrationHigh ownership. You don't wait for specs, you write themComfortable with ambiguity, fast iteration, and being wrong sometimesNice to have
Experience with LLM workflows, evals, or agent systems in productionInterest in finance, investing, or building for retail investorsComfort with async jobs, background workers, GCPWhat you should know before applying
We're early-stage and running lean, with investment from NSUT IIF (SISFS scheme). Cash is below market, and equity is meant to make that tradeoff meaningfulTeam is small (4 today) and stretched. You'll have huge scope and direct impact, but no polished onboarding, no layers of process, and no one to escalate to.Remote-friendly, but Bengaluru-based candidates have a slight edge for occasional in-person work.Process: short async screen, technical conversation, paid 2-3 day trial on a real ticket, founder fit conversation. Fast loop, decision within 2 weeks of first contact.To apply
You can apply through the LinkedIn post, but to stand out, email with:
Resume A short note: what you've built, why this roleLinks to GitHub, side projects, or anything you've shippedOne technical decision you've made that you'd revisit, and why Read LessFounding Engineer - Diversifi Bengaluru (remote-friendly) 1-3 years 10-12L + 2-3% equity
We're a SEBI-registered RIA building an AI portfolio analyst for Indian retail investors. The product is live, has real users, and we're at the stage where the next engineer's decisions actually shape what the company becomes.
You'd be the first engineering hire, working directly with me (founder, ex-product lead at FloBiz). The stack is Python on GCP (Cloud Run, Postgres, Firebase) with a Flutter app on top. Most of the interesting work right now is on the backend and AI side: LLM orchestration, agentic workflows, data pipelines, and the quant layer underneath the recommendations.
What you'll own
You'll take on a large part of engineering execution across:
Backend feature work, debugging, and reliabilityLLM orchestration and AI workflows (chat, agents, evals)Data pipelines and internal toolsPerformance, coverage, and engineering velocityScope expands over time based on your strengths and where the product needs to go.
What I'm looking for
1-3 years of engineering experience, strong backend fundamentalsComfortable in Python, APIs, databases, production systemsCan take a vague problem, scope it, ship it, and own the outcome without hand-holdingHave built or genuinely want to build with LLMs, agents, or AI orchestrationHigh ownership. You don't wait for specs, you write themComfortable with ambiguity, fast iteration, and being wrong sometimesNice to have
Experience with LLM workflows, evals, or agent systems in productionInterest in finance, investing, or building for retail investorsComfort with async jobs, background workers, GCPWhat you should know before applying
We're early-stage and running lean, with investment from NSUT IIF (SISFS scheme). Cash is below market, and equity is meant to make that tradeoff meaningfulTeam is small (4 today) and stretched. You'll have huge scope and direct impact, but no polished onboarding, no layers of process, and no one to escalate to.Remote-friendly, but Bengaluru-based candidates have a slight edge for occasional in-person work.Process: short async screen, technical conversation, paid 2-3 day trial on a real ticket, founder fit conversation. Fast loop, decision within 2 weeks of first contact.To apply
You can apply through the LinkedIn post, but to stand out, email with:
Resume A short note: what you've built, why this roleLinks to GitHub, side projects, or anything you've shippedOne technical decision you've made that you'd revisit, and why Read LessFounding Engineer - Diversifi Bengaluru (remote-friendly) 1-3 years 10-12L + 2-3% equity
We're a SEBI-registered RIA building an AI portfolio analyst for Indian retail investors. The product is live, has real users, and we're at the stage where the next engineer's decisions actually shape what the company becomes.
You'd be the first engineering hire, working directly with me (founder, ex-product lead at FloBiz). The stack is Python on GCP (Cloud Run, Postgres, Firebase) with a Flutter app on top. Most of the interesting work right now is on the backend and AI side: LLM orchestration, agentic workflows, data pipelines, and the quant layer underneath the recommendations.
What you'll own
You'll take on a large part of engineering execution across:
Backend feature work, debugging, and reliabilityLLM orchestration and AI workflows (chat, agents, evals)Data pipelines and internal toolsPerformance, coverage, and engineering velocityScope expands over time based on your strengths and where the product needs to go.
What I'm looking for
1-3 years of engineering experience, strong backend fundamentalsComfortable in Python, APIs, databases, production systemsCan take a vague problem, scope it, ship it, and own the outcome without hand-holdingHave built or genuinely want to build with LLMs, agents, or AI orchestrationHigh ownership. You don't wait for specs, you write themComfortable with ambiguity, fast iteration, and being wrong sometimesNice to have
Experience with LLM workflows, evals, or agent systems in productionInterest in finance, investing, or building for retail investorsComfort with async jobs, background workers, GCPWhat you should know before applying
We're early-stage and running lean, with investment from NSUT IIF (SISFS scheme). Cash is below market, and equity is meant to make that tradeoff meaningfulTeam is small (4 today) and stretched. You'll have huge scope and direct impact, but no polished onboarding, no layers of process, and no one to escalate to.Remote-friendly, but Bengaluru-based candidates have a slight edge for occasional in-person work.Process: short async screen, technical conversation, paid 2-3 day trial on a real ticket, founder fit conversation. Fast loop, decision within 2 weeks of first contact.To apply
You can apply through the LinkedIn post, but to stand out, email with:
Resume A short note: what you've built, why this roleLinks to GitHub, side projects, or anything you've shippedOne technical decision you've made that you'd revisit, and why Read LessFounding Engineer - Diversifi Bengaluru (remote-friendly) 1-3 years 10-12L + 2-3% equity
We're a SEBI-registered RIA building an AI portfolio analyst for Indian retail investors. The product is live, has real users, and we're at the stage where the next engineer's decisions actually shape what the company becomes.
You'd be the first engineering hire, working directly with me (founder, ex-product lead at FloBiz). The stack is Python on GCP (Cloud Run, Postgres, Firebase) with a Flutter app on top. Most of the interesting work right now is on the backend and AI side: LLM orchestration, agentic workflows, data pipelines, and the quant layer underneath the recommendations.
What you'll own
You'll take on a large part of engineering execution across:
Backend feature work, debugging, and reliabilityLLM orchestration and AI workflows (chat, agents, evals)Data pipelines and internal toolsPerformance, coverage, and engineering velocityScope expands over time based on your strengths and where the product needs to go.
What I'm looking for
1-3 years of engineering experience, strong backend fundamentalsComfortable in Python, APIs, databases, production systemsCan take a vague problem, scope it, ship it, and own the outcome without hand-holdingHave built or genuinely want to build with LLMs, agents, or AI orchestrationHigh ownership. You don't wait for specs, you write themComfortable with ambiguity, fast iteration, and being wrong sometimesNice to have
Experience with LLM workflows, evals, or agent systems in productionInterest in finance, investing, or building for retail investorsComfort with async jobs, background workers, GCPWhat you should know before applying
We're early-stage and running lean, with investment from NSUT IIF (SISFS scheme). Cash is below market, and equity is meant to make that tradeoff meaningfulTeam is small (4 today) and stretched. You'll have huge scope and direct impact, but no polished onboarding, no layers of process, and no one to escalate to.Remote-friendly, but Bengaluru-based candidates have a slight edge for occasional in-person work.Process: short async screen, technical conversation, paid 2-3 day trial on a real ticket, founder fit conversation. Fast loop, decision within 2 weeks of first contact.To apply
You can apply through the LinkedIn post, but to stand out, email with:
Resume A short note: what you've built, why this roleLinks to GitHub, side projects, or anything you've shippedOne technical decision you've made that you'd revisit, and why Read LessFounding Engineer - Diversifi Bengaluru (remote-friendly) 1-3 years 10-12L + 2-3% equity
We're a SEBI-registered RIA building an AI portfolio analyst for Indian retail investors. The product is live, has real users, and we're at the stage where the next engineer's decisions actually shape what the company becomes.
You'd be the first engineering hire, working directly with me (founder, ex-product lead at FloBiz). The stack is Python on GCP (Cloud Run, Postgres, Firebase) with a Flutter app on top. Most of the interesting work right now is on the backend and AI side: LLM orchestration, agentic workflows, data pipelines, and the quant layer underneath the recommendations.
What you'll own
You'll take on a large part of engineering execution across:
Backend feature work, debugging, and reliabilityLLM orchestration and AI workflows (chat, agents, evals)Data pipelines and internal toolsPerformance, coverage, and engineering velocityScope expands over time based on your strengths and where the product needs to go.
What I'm looking for
1-3 years of engineering experience, strong backend fundamentalsComfortable in Python, APIs, databases, production systemsCan take a vague problem, scope it, ship it, and own the outcome without hand-holdingHave built or genuinely want to build with LLMs, agents, or AI orchestrationHigh ownership. You don't wait for specs, you write themComfortable with ambiguity, fast iteration, and being wrong sometimesNice to have
Experience with LLM workflows, evals, or agent systems in productionInterest in finance, investing, or building for retail investorsComfort with async jobs, background workers, GCPWhat you should know before applying
We're early-stage and running lean, with investment from NSUT IIF (SISFS scheme). Cash is below market, and equity is meant to make that tradeoff meaningfulTeam is small (4 today) and stretched. You'll have huge scope and direct impact, but no polished onboarding, no layers of process, and no one to escalate to.Remote-friendly, but Bengaluru-based candidates have a slight edge for occasional in-person work.Process: short async screen, technical conversation, paid 2-3 day trial on a real ticket, founder fit conversation. Fast loop, decision within 2 weeks of first contact.To apply
You can apply through the LinkedIn post, but to stand out, email with:
Resume A short note: what you've built, why this roleLinks to GitHub, side projects, or anything you've shippedOne technical decision you've made that you'd revisit, and why Read LessFounding Engineer - Diversifi Bengaluru (remote-friendly) 1-3 years 10-12L + 2-3% equity
We're a SEBI-registered RIA building an AI portfolio analyst for Indian retail investors. The product is live, has real users, and we're at the stage where the next engineer's decisions actually shape what the company becomes.
You'd be the first engineering hire, working directly with me (founder, ex-product lead at FloBiz). The stack is Python on GCP (Cloud Run, Postgres, Firebase) with a Flutter app on top. Most of the interesting work right now is on the backend and AI side: LLM orchestration, agentic workflows, data pipelines, and the quant layer underneath the recommendations.
What you'll own
You'll take on a large part of engineering execution across:
Backend feature work, debugging, and reliabilityLLM orchestration and AI workflows (chat, agents, evals)Data pipelines and internal toolsPerformance, coverage, and engineering velocityScope expands over time based on your strengths and where the product needs to go.
What I'm looking for
1-3 years of engineering experience, strong backend fundamentalsComfortable in Python, APIs, databases, production systemsCan take a vague problem, scope it, ship it, and own the outcome without hand-holdingHave built or genuinely want to build with LLMs, agents, or AI orchestrationHigh ownership. You don't wait for specs, you write themComfortable with ambiguity, fast iteration, and being wrong sometimesNice to have
Experience with LLM workflows, evals, or agent systems in productionInterest in finance, investing, or building for retail investorsComfort with async jobs, background workers, GCPWhat you should know before applying
We're early-stage and running lean, with investment from NSUT IIF (SISFS scheme). Cash is below market, and equity is meant to make that tradeoff meaningfulTeam is small (4 today) and stretched. You'll have huge scope and direct impact, but no polished onboarding, no layers of process, and no one to escalate to.Remote-friendly, but Bengaluru-based candidates have a slight edge for occasional in-person work.Process: short async screen, technical conversation, paid 2-3 day trial on a real ticket, founder fit conversation. Fast loop, decision within 2 weeks of first contact.To apply
You can apply through the LinkedIn post, but to stand out, email with:
Resume A short note: what you've built, why this roleLinks to GitHub, side projects, or anything you've shippedOne technical decision you've made that you'd revisit, and why Read LessFounding Engineer - Diversifi Bengaluru (remote-friendly) 1-3 years 10-12L + 2-3% equity
We're a SEBI-registered RIA building an AI portfolio analyst for Indian retail investors. The product is live, has real users, and we're at the stage where the next engineer's decisions actually shape what the company becomes.
You'd be the first engineering hire, working directly with me (founder, ex-product lead at FloBiz). The stack is Python on GCP (Cloud Run, Postgres, Firebase) with a Flutter app on top. Most of the interesting work right now is on the backend and AI side: LLM orchestration, agentic workflows, data pipelines, and the quant layer underneath the recommendations.
What you'll own
You'll take on a large part of engineering execution across:
Backend feature work, debugging, and reliabilityLLM orchestration and AI workflows (chat, agents, evals)Data pipelines and internal toolsPerformance, coverage, and engineering velocityScope expands over time based on your strengths and where the product needs to go.
What I'm looking for
1-3 years of engineering experience, strong backend fundamentalsComfortable in Python, APIs, databases, production systemsCan take a vague problem, scope it, ship it, and own the outcome without hand-holdingHave built or genuinely want to build with LLMs, agents, or AI orchestrationHigh ownership. You don't wait for specs, you write themComfortable with ambiguity, fast iteration, and being wrong sometimesNice to have
Experience with LLM workflows, evals, or agent systems in productionInterest in finance, investing, or building for retail investorsComfort with async jobs, background workers, GCPWhat you should know before applying
We're early-stage and running lean, with investment from NSUT IIF (SISFS scheme). Cash is below market, and equity is meant to make that tradeoff meaningfulTeam is small (4 today) and stretched. You'll have huge scope and direct impact, but no polished onboarding, no layers of process, and no one to escalate to.Remote-friendly, but Bengaluru-based candidates have a slight edge for occasional in-person work.Process: short async screen, technical conversation, paid 2-3 day trial on a real ticket, founder fit conversation. Fast loop, decision within 2 weeks of first contact.To apply
You can apply through the LinkedIn post, but to stand out, email with:
Resume A short note: what you've built, why this roleLinks to GitHub, side projects, or anything you've shippedOne technical decision you've made that you'd revisit, and why Read LessFounding Engineer - Diversifi Bengaluru (remote-friendly) 1-3 years 10-12L + 2-3% equity
We're a SEBI-registered RIA building an AI portfolio analyst for Indian retail investors. The product is live, has real users, and we're at the stage where the next engineer's decisions actually shape what the company becomes.
You'd be the first engineering hire, working directly with me (founder, ex-product lead at FloBiz). The stack is Python on GCP (Cloud Run, Postgres, Firebase) with a Flutter app on top. Most of the interesting work right now is on the backend and AI side: LLM orchestration, agentic workflows, data pipelines, and the quant layer underneath the recommendations.
What you'll own
You'll take on a large part of engineering execution across:
Backend feature work, debugging, and reliabilityLLM orchestration and AI workflows (chat, agents, evals)Data pipelines and internal toolsPerformance, coverage, and engineering velocityScope expands over time based on your strengths and where the product needs to go.
What I'm looking for
1-3 years of engineering experience, strong backend fundamentalsComfortable in Python, APIs, databases, production systemsCan take a vague problem, scope it, ship it, and own the outcome without hand-holdingHave built or genuinely want to build with LLMs, agents, or AI orchestrationHigh ownership. You don't wait for specs, you write themComfortable with ambiguity, fast iteration, and being wrong sometimesNice to have
Experience with LLM workflows, evals, or agent systems in productionInterest in finance, investing, or building for retail investorsComfort with async jobs, background workers, GCPWhat you should know before applying
We're early-stage and running lean, with investment from NSUT IIF (SISFS scheme). Cash is below market, and equity is meant to make that tradeoff meaningfulTeam is small (4 today) and stretched. You'll have huge scope and direct impact, but no polished onboarding, no layers of process, and no one to escalate to.Remote-friendly, but Bengaluru-based candidates have a slight edge for occasional in-person work.Process: short async screen, technical conversation, paid 2-3 day trial on a real ticket, founder fit conversation. Fast loop, decision within 2 weeks of first contact.To apply
You can apply through the LinkedIn post, but to stand out, email with:
Resume A short note: what you've built, why this roleLinks to GitHub, side projects, or anything you've shippedOne technical decision you've made that you'd revisit, and why Read Less