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Procedure is hiring for WorkHero.

WorkHero is building the AI-powered back office for the skilled trades, starting with the $50B+ HVAC industry. Small contractors are great at their trade but lose 20+ hours a week to invoicing, permits, scheduling, and paperwork. WorkHero combines expert office managers with automation and AI tooling, enabling a small team to take real ownership of that back-office work

We’re hiring a senior engineer to own our real-time voice stack end to end—AI agents operating on live phone calls—and the data platform that turns those calls into insight: call → transcript → events → warehouse → dashboards. You’ll own meaningful systems end to end alongside a small, senior team with deep experience in AI, product, and the trades.

What you’ll build

• New product screens and flows (jobs, customers, invoices, scheduling) in React and React Native, especially AI chat UI (chat & tool result rendering, streaming responses, human review and feedback loops)
• AI workflows in production: tool-using agents, RAG/search, classification/extraction, and human-in-the-loop flows
• Automations: Contribute new features and improvements to our AI-powered business automation platform

In addition, you’ll own our first investments into a realtime voice stack and the call-data platform behind it. For example:

• Realtime voice agents on live phone calls: telephony/WebRTC integration, streaming speech-to-text and text-to-speech, turn-taking, interruption handling, and latency optimization
• Voice pipeline reliability: backpressure, failover, graceful degradation, and monitoring for live calls
• Call-data pipeline: transcripts, events, and structured extraction flowing from every call into the warehouse
• Analytics & dashboards: data modeling and conversation-intelligence features on top of call data
• Evals & monitoring for voice agents: quality metrics, drift detection, and cost/latency tracking
• Cloud infrastructure: scaling our platform with infrastructure as code, queues and orchestration, and CI/CD

Responsibilities

• Analyze requirements and propose innovative AI-native solutions to technical problems
• Write clean scalable code
• Own the voice and data stack end-to-end: design, build, test, deploy, and operate
• Optimize the performance, latency, and cost of our real-time AI systems
• Respond to critical system issues and ensure continuous system reliability
• Mentor team members and collaborate across teams, especially with product and subject matter experts
• Work to understand the needs of our users and think creatively about how to solve design challenges in your work
• This is a Remote role. We expect a minimum 4 hours overlap with the WorkHero team (11 AM - 3 PM ET).

Qualifications

• Senior-level backend experience (typically 5+ years) shipping production systems that you've owned
• Hands-on experience with realtime voice or streaming systems: telephony (SIP/Twilio), WebRTC, streaming STT/TTS, or frameworks like LiveKit or Pipecat — or comparable experience with demanding realtime/streaming infrastructure
• Data engineering fundamentals: event pipelines, data modeling, warehousing, and analytics on production data
• Strong proficiency in a typed backend language (TypeScript preferred; comparable experience welcome)
• Hands-on experience with LLM-powered features (usage, prompting, optimization, etc) and AI architectures
• The ability to work with infrastructure as code (terraform), cloud, and CI/CD systems at scale. We're a small team, so we own the whole stack!
• Excitement to leverage AI coding tools to their maximum benefit. We love Claude Code and Cursor and are constantly looking for better ways to leverage our time to build fast and build for scale.

Nice to have

• experience with voice-AI platforms (Vapi, Retell, Bland, Deepgram, LiveKit) or conversation-intelligence products (e.g. Gong-style analytics)
• experience scaling cloud infrastructure, especially AWS, and how to get the most out of key AWS services
• experience with workflow automation tools like n8n or Lindy
• experience with React for building internal dashboards
• experience with HVAC or back-office business workflows

WorkHero is committed to building a diverse team. We encourage candidates from all backgrounds to apply.

About the Role

We’re looking for a Senior Software Engineer who takes ownership seriously, someone who

designs solutions, ships them, and stands behind them in production. You’ll work across a

technically interesting stack on systems that process millions of provider records.

This is a role with real scope: you’ll influence architecture, shape engineering practices, and

work directly with product and leadership to solve hard problems in a domain that genuinely

matters.

Problems You’ll Solve

Healthcare’s provider data problem is a hard distributed systems problem. Hundreds of primary

sources state boards, payers, federal registries each with their own schema, SLA, and failure

mode. Downstream, real credentialing and network decisions depend on whatever truth we can

surface.

API contract stability at velocity. You’re building a platform hundreds of integrations depend

on. How do you evolve a Quarkus/REST API, adding resources, deprecating fields, shifting data

models without breaking consumers? Contract-first design, versioning strategy, and backward

compatibility aren’t theoretical here.Integration reliability at scale. Upstream sources go down, change schemas, and return dirty

data. You’ll build the patterns that absorb that chaos idempotent consumers, dead-letter queues,

circuit breakers, and reconciliation pipelines on top of Kafka and Spanner.

Entity resolution on messy real-world data. Deduplicating and reconciling provider records

across hundreds of heterogeneous sources, where a wrong merge has downstream

consequences. MDM patterns, confidence scoring, and deterministic vs. probabilistic matching

at scale.

AI-augmented velocity without regression. We use Cursor and Claude Code as force

multipliers. The engineering problem is building review culture, eval frameworks, and test

coverage that keeps quality high as output volume increases.

Observability for a data platform, not just a service. Uptime isn’t enough; you need to know

when a provider record is stale, inconsistent, or wrong. You’ll instrument data quality and

lineage, not just p99 latency.

What We’re Looking For

Engineering fundamentals

* 8+ years building and maintaining production-grade systems including systems where

your API is someone else’s dependency and breaking it has real downstream

consequences

* Track record of shipping high-quality software in fast-paced environments you define the

solution, not just implement a spec

* Strong engineering fundamentals: testing, clean code, maintainability, and performance

optimization

* Experience improving system reliability you’ve debugged hard production problems and

made them not happen again, with SLOs and alerting to prove it

* Comfort mentoring earlier-career engineers and influencing technical direction

API & architecture depth

* Deep experience designing and evolving APIs under active consumers: versioning

strategy, backward compatibility, and contract-first thinking

* Fluency across API paradigms REST, GraphQL, gRPC, and async/event-driven APIs

(webhooks, Kafka topics as contracts) and the judgment to know when each is the right

tool

* Hands-on experience with service-oriented and distributed architectures you’ve worked

across SOA, microservices, and event-driven patterns and can make principled tradeoffs

between them based on coupling, latency, and operational complexity

* Experience designing for API consumers as first-class stakeholders SDK ergonomics,

pagination, rate limiting, error semantics, and documentation as part of the contract, not

an afterthought

* Experience with integration patterns at scale you’ve built or maintained systems that

aggregate and normalize data from many heterogeneous upstream sources, and you

understand the reliability and consistency tradeoffs that come with it: circuit breakers, retry

strategies, idempotency, eventual consistency

Data-intensive systems• Strong data modeling instincts you understand the difference between a schema that’s

easy to write and one that’s easy to query, evolve, and trust at scale

* Experience with high-throughput, event-driven systems: you understand ordering

guarantees, consumer lag, and failure modes in Kafka-like architectures

* Strong sense of data quality: lineage, freshness, and correctness matter as much to you

as throughput

AI-era engineering

* In an AI-augmented engineering environment, you write less and review more you’re

skeptical of generated code in the right ways, and you use that leverage to ship 2–3x

what a non-AI-fluent engineer would

* Fluency with AI-assisted engineering tools (Cursor, Claude Code, MCP servers) this is

part of how we work, not a nice-to-have

Communication & compliance

* Strong written and verbal communication you can explain a technical tradeoff to an

engineer and a product manager in the same conversation

* Experience with sensitive data and security best practices (PII, access controls) in

regulated or compliance-adjacent environments

Nice to Have

* Experience building or operating AI/LLM pipelines in production (not just prototypes)

including eval frameworks, fallback behavior, and monitoring for non-deterministic outputs

* Experience with entity resolution or MDM systems at scale deduplicating messy

real-world data across disparate sources

* Familiarity with healthcare credentialing workflows

* Familiarity with healthcare, compliance, or regulated environments

Technologies & Tools

Java 21 / Quarkus · React / TypeScript · GCP (Spanner, BigQuery) · Kafka · Docker /

Kubernetes · GitHub Actions · Sentry · REST / GraphQL / gRPC · Cursor / Claude

Code / Codex

About The Role

Location: Remote / Hybrid (India Preferred)

Experience: 03–10 years of relevant experience

Reports to: CEO/Co-founder

Type: Full-Time

Tech Stack: Python, Frappe, LangChain, Neo4j, FAISS, React.js, AWS/GCP/Azure

What You’ll Do

● AI/ML Development

○ Build AI-powered student learning insights using Graph Databases (Neo4j), FAISS,

Sentence Transformers, and OpenCV (ResNet-50).

○ Develop Retrieval-Augmented Generation (RAG) and reinforcement learning models to

personalize content and assessment.

○ Research and implement multi-modal generation (text, image, voice) for highly

personalized learning interactions.

○ Fine-tune and optimize transformer-based models (e.g., GPT, BERT) to deliver contextual,

culturally relevant learning experiences.

● Backend & API Development

○ Architect and build scalable backend using Frappe, FastAPI, or Django.

○ Develop REST and GraphQL APIs to connect PAL with TAP’s LMS, Glific, and content

repositories.

○ Integrate Redis and Celery to manage background inference processes.

○ Connect with Glific APIs to power our AI-driven WhatsApp learning chatbot.

● Frontend & User Experience (Optional)

○ Develop a React.js-based student dashboard for real-time learning insights and content

delivery.

○ Collaborate closely with our UX team to ensure intuitive and accessible design.

● Cloud & Deployment (DevOps)

○ Deploy and scale models across cloud platforms: AWS, GCP, or Azure.

○ Implement CI/CD pipelines (Jenkins, Cypress.io) to ensure continuous delivery and testing.

○ Use Docker and Kubernetes for managing containerized deployments.

● AI-Driven Security & Automation

○ Ensure data privacy and compliance by embedding AI-powered security checks.

○ Automate personalized content delivery through NLP chatbots and AI workflows.

Who You Are

● You’ve worked on AI/ML systems at scale, especially in EdTech, SaaS, or social impact settings

● You’ve built or fine-tuned models with GPT/BERT, FAISS, LangChain, or custom embeddings

● You know how to move between backend complexity and real-world deployment

● You’ve used tools like Zapier, N8N, or FastAPI in production

● You don’t just write code — you write roadmaps, define structure, and love cross-functional

collaboration

● Bonus: You’ve dabbled in adaptive learning, NLP in regional languages, or multimodal AI

What You Can Expect?

● Real ownership – You’ll lead architecture, experimentation, and rollout

● Deep learning – Work with experienced leaders across product, pedagogy, and AI

● Remote flexibility – Work from anywhere, build for everywhere

● Bold pace, clear values – We move fast, think big, and always center the child

● Future leadership track – Opportunity to grow into a Tech/AI Lead role as we scale

● Full transparency – Competitive salary, equity potential, and clarity on what’s next

• Experience in developing enterprise wide web-based n-Tier applications using Microsoft and JavaScript technology stack.
• Fluent knowledge and hands-on experience in C# ASP.Net WebAPI with .Net Core/ .Net 5+, Angular (4/5+) with TypeScript, Angular Material, CSS, HTML 5, Bootstrap.
• Knowledge of nHibernate, IoC Containers, any SQL DB and any NoSQL DB would be an added advantage.
• Having experience in container technology (Kubernetes/Dockers) and microservices implementation would be an added advantage.
• Hands on experience in unit testing using tools like xUnit and mocking framework etc. CI/CD process are an added advantage
• Good knowledge and experience of OOAD, SOA and RESTful based patterns and implementation.
• Good understanding of Design patterns and their implementation
• Should be able to work independently with new technologies

You should have

• Degree in Computer Science or relevant field
• Strong knowledge and understanding of JavaScript and TypeScript
• Knowledge of multiple frontend languages and frameworks including HTML, CSS, SCSS, JavaScript and React.
• Knowledge of backend languages and frameworks primarily Node.js
• Familiarity with SQL databases (e.g. PostgreSQL)
• Knowledge of Docker, and Kubernetes would be a plus.
• Leadership skills for guiding and mentoring teammates.
• Understanding of CI/CD Concepts
• Awareness of key concepts in DevOps and Agile principles

Perks

• Flexible working hours - employee tracking is never a thing
• A fun and close-knit agile team.
• Open office layout that promotes collaboration, conversation, and camaraderie – the result-oriented team.
• Recreational activities to keep you away from the screen and live, laugh, and enjoy with the team.

Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data pipelines at Petabyte scale. Our customers include a Fortune 500 company, one of Asia's largest telecom companies, and a unicorn fintech startup. We are lean, hungry, customer-obsessed, and growing fast. Our Engineering team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment. 

As a Principal Full-stack engineer, you will work across the Acceldata platform products. We’re looking for people with a strong background or inclination towards data engineering and systems; you’re comfortable in dealing with lots of moving pieces and can work at the  intersection of Databases, API's and Frontends

You will:          

• Be actively involved in strategic direction and product decisions.
• Design, build and maintain APIs, user-facing experiences, and services.
• Work closely with our customers and sales teams on a regular basis to carve out new features and use cases
• Work with MVC frameworks such as React or Angular 
• Work with database systems, RDBMS, Mongo, Elastic Search.
• Develop shared front-end components (JavaScript & CSS) for use across all of our products, enabling other UI engineers to build better products faster.

You need:      

• 12+ years of significant of web-application development experience in one or more JS frameworks. You care about building better products.
• Strong Computer Science fundamentals in data structures, algorithm design, and problem-solving.
• You're as comfortable writing plain JavaScript as working with modern frameworks like Angular. You've built your own controls and widgets in JavaScript. 
• You write unit tests for your JavaScript (really, you do). You've probably used Node. You have built complex JS web applications.
• Organized, thorough, and detail-oriented 

Good to have:

• Contribution to open-source projects.
• Background in enterprise software
• JVM performance tuning and debugging