Software Engineer
Pulse · Indianapolis, Indiana, United States
FULL TIMEpermanent
Job Description
About Pulse
Considering making an application for this job Check all the details in this job description, and then click on Apply.
Pulse is an AI transformation and custom development firm based in Indianapolis. We work with mid-market companies, usually 50 to 200+ employees, in manufacturing, financial services, healthcare, nonprofits, and government contracting, plus a few enterprise clients.
Most of these companies haven't started with AI because they think they need perfect data and perfectly run operations first. They don't, and our job is to prove it quickly. A lot of our work starts with a 2-Day AI POC: our engineers sit with a client team, learn how the work actually gets done, and ship a working tool while the strategy work is still happening. 98% of our clients renew.
The Role
You'll own client projects from the first conversation to production. That means finding where AI actually saves time or opens up new revenue, deciding the technical plan, building the whole system, and improving it after it goes live. You'll run multiple projects at a time and work within a very flat organizational structure.
This is a software engineering job first. The model is usually the easy part. What makes a project work is everything around it: clean data models, integrations that don't fall over, tests, monitoring, and code another engineer can pick up. We need people who've built and run real systems, and who now use LLMs as one more tool in that work.
Most projects start with a process someone has run the same way for years. You'll map it step by step until every step is simple, figure out which steps AI can take over, build it, keep a person in the loop where mistakes are expensive, and remove that check once the system has earned trust. A project is done when real hours come off someone's workload.
What You'll Do
Learn a client's process fast, onsite or remote, often in hours instead of weeksDecide where AI helps and where it doesn't, and explain that call to a CEO and to their IT leadBuild the full system: LLM workflows, agents, integrations with the client's ERP, CRM, email, and files, and the interface people use every dayWrite evals so you know when outputs are good enough to trustShip to production and keep improving it once real users are on itHelp run 2-Day AI POCs, where the goal is a working tool by the end of day twoLeave something behind on every project (skills, MCP connectors, eval sets, templates) so the next one starts ahead
What You Won't Do Here
Sit through three hours of status meetings every MondayWait six weeks for a code reviewWatch your work die in a change management committeeBabysit a single legacy system for two yearsWrite specs for someone else to build
What We're Looking For
At least 5 years of professional software engineering experience. This is a hard minimum. We want software engineers who can scale with AI, not prompters who pretend to be software engineers.You've owned production systems: designed them, shipped them, been on the hook when they broke, and fixed themStrong fundamentals in system design, data modeling, testing, and debuggingDeep experience in Python or TypeScript (ideally both), building and consuming APIs, and working with relational databases like PostgresComfortable deploying and running software in the cloud, including CI/CD, logging, and monitoringYou've built something on top of LLMs that real people use, and you know the ways it breaksHands-on experience with Claude Code, MCP servers, or agent frameworksYou can explain a technical decision to a CEO in plain English and to an engineer in full detailYou like being in front of clients. A big part of this job is listening.You'll tell a client something won't work before you build it anyway
Nice to Have
Integrations with ERPs (Odoo, NetSuite), CRMs (HubSpot), or accounting tools (QuickBooks)Consulting, agency, or founder experienceBackground in manufacturing, healthcare, or financial services
What You'll Learn Here
How to structure work so agents can do it reliablyContext engineering, meaning how to give a model the right information at the right momentHow to evaluate outputs and decide where people stay in controlHow to scope work, build a roadmap, and run a client relationship yourself
How We Work
Our values are Unwavering Integrity, Trailblazing Creativity, and Speed as Superpower. In practice:
We tell clients the truth, including when the answer is "don't use AI for this"We try things that haven't been done in a client's industry yetWe price work off roadmaps instead of hours, so nobody is rewarded for stretching a project out. If it can ship in 3 months instead of 6, it ships in 3.We keep the team small on purpose. You'll own more, see more of the business, and your work will be visible to clients and leadership.
What We Offer
Competitive base salary, commensurate with experienceEquity in PulseHealth, dental, visionPTO we actually want you to takeA real desk in a real office with people who make you betterDirect access to founders. xzbcwsv Sean (CEO) and Jake (COO) are in the trenches with you, not behind a calendar wall.
Details
Location: Onsite at our office, 350 Massachusetts Ave #256, Indianapolis, IN 46204Travel: This position will require travel to client sites
Considering making an application for this job Check all the details in this job description, and then click on Apply.
Pulse is an AI transformation and custom development firm based in Indianapolis. We work with mid-market companies, usually 50 to 200+ employees, in manufacturing, financial services, healthcare, nonprofits, and government contracting, plus a few enterprise clients.
Most of these companies haven't started with AI because they think they need perfect data and perfectly run operations first. They don't, and our job is to prove it quickly. A lot of our work starts with a 2-Day AI POC: our engineers sit with a client team, learn how the work actually gets done, and ship a working tool while the strategy work is still happening. 98% of our clients renew.
The Role
You'll own client projects from the first conversation to production. That means finding where AI actually saves time or opens up new revenue, deciding the technical plan, building the whole system, and improving it after it goes live. You'll run multiple projects at a time and work within a very flat organizational structure.
This is a software engineering job first. The model is usually the easy part. What makes a project work is everything around it: clean data models, integrations that don't fall over, tests, monitoring, and code another engineer can pick up. We need people who've built and run real systems, and who now use LLMs as one more tool in that work.
Most projects start with a process someone has run the same way for years. You'll map it step by step until every step is simple, figure out which steps AI can take over, build it, keep a person in the loop where mistakes are expensive, and remove that check once the system has earned trust. A project is done when real hours come off someone's workload.
What You'll Do
Learn a client's process fast, onsite or remote, often in hours instead of weeksDecide where AI helps and where it doesn't, and explain that call to a CEO and to their IT leadBuild the full system: LLM workflows, agents, integrations with the client's ERP, CRM, email, and files, and the interface people use every dayWrite evals so you know when outputs are good enough to trustShip to production and keep improving it once real users are on itHelp run 2-Day AI POCs, where the goal is a working tool by the end of day twoLeave something behind on every project (skills, MCP connectors, eval sets, templates) so the next one starts ahead
What You Won't Do Here
Sit through three hours of status meetings every MondayWait six weeks for a code reviewWatch your work die in a change management committeeBabysit a single legacy system for two yearsWrite specs for someone else to build
What We're Looking For
At least 5 years of professional software engineering experience. This is a hard minimum. We want software engineers who can scale with AI, not prompters who pretend to be software engineers.You've owned production systems: designed them, shipped them, been on the hook when they broke, and fixed themStrong fundamentals in system design, data modeling, testing, and debuggingDeep experience in Python or TypeScript (ideally both), building and consuming APIs, and working with relational databases like PostgresComfortable deploying and running software in the cloud, including CI/CD, logging, and monitoringYou've built something on top of LLMs that real people use, and you know the ways it breaksHands-on experience with Claude Code, MCP servers, or agent frameworksYou can explain a technical decision to a CEO in plain English and to an engineer in full detailYou like being in front of clients. A big part of this job is listening.You'll tell a client something won't work before you build it anyway
Nice to Have
Integrations with ERPs (Odoo, NetSuite), CRMs (HubSpot), or accounting tools (QuickBooks)Consulting, agency, or founder experienceBackground in manufacturing, healthcare, or financial services
What You'll Learn Here
How to structure work so agents can do it reliablyContext engineering, meaning how to give a model the right information at the right momentHow to evaluate outputs and decide where people stay in controlHow to scope work, build a roadmap, and run a client relationship yourself
How We Work
Our values are Unwavering Integrity, Trailblazing Creativity, and Speed as Superpower. In practice:
We tell clients the truth, including when the answer is "don't use AI for this"We try things that haven't been done in a client's industry yetWe price work off roadmaps instead of hours, so nobody is rewarded for stretching a project out. If it can ship in 3 months instead of 6, it ships in 3.We keep the team small on purpose. You'll own more, see more of the business, and your work will be visible to clients and leadership.
What We Offer
Competitive base salary, commensurate with experienceEquity in PulseHealth, dental, visionPTO we actually want you to takeA real desk in a real office with people who make you betterDirect access to founders. xzbcwsv Sean (CEO) and Jake (COO) are in the trenches with you, not behind a calendar wall.
Details
Location: Onsite at our office, 350 Massachusetts Ave #256, Indianapolis, IN 46204Travel: This position will require travel to client sites
Details
| Company | Pulse |
| Location | Indianapolis, Indiana, United States |
| Type | FULL TIME |
| Niche | general |
| Experience | permanent |
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