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Engineering Manager
Rapidclaims
Engineering Manager

Engineering Manager at Rapidclaims · Bengaluru (Bangalore) · 5 - 12 years · ₹30L - ₹55L / yr · Posted 9 Mar 2026

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Engineering Manager

at Rapidclaims

Agency job
5 - 12 yrs
₹30L - ₹55L / yr
Bengaluru (Bangalore)
Skills
skill iconJava
skill iconPython
Artificial Intelligence (AI)
Engineering Management

About RapidClaims

RapidClaims is a leader in AI-driven revenue cycle management, transforming medical

coding and revenue operations with cutting-edge technology.

The company has raised $11 million in total funding from top investors, including Accel

and Together Fund.

Join us as we scale a cloud-native platform that runs transformer-based Large Language

Models rigorously fine-tuned on millions of clinical notes and claims every month. You’ll

engineer autonomous coding pipelines that parse ICD-10-CM, CPT® and HCPCS at

lightning speed, deliver reimbursement insights with sub-second latency and >99 %

accuracy, and tackle the deep-domain challenges that make clinical AI one of the

hardest—and most rewarding—problems in tech.


Engineering Manager- Job Overview

We are looking for an Engineering Manager who can lead a team of engineers while

staying deeply involved in technical decisions. This role requires a strong mix of people

leadership, system design expertise, and execution focus to deliver high-quality product

features at speed. You will work closely with Product and Leadership to translate

requirements into scalable technical solutions and build a high-performance engineering

culture.

Key Responsibilities:

● Lead, mentor, and grow a team of software engineers

● Drive end-to-end ownership of product features from design to deployment

● Work closely with Product to translate requirements into technical solutions

● Define architecture and ensure scalability, reliability, and performance

● Establish engineering best practices, code quality, and review standards

● Improve development velocity, sprint planning, and execution discipline

● Hire strong engineering talent and build a solid team

● Create a culture of accountability, ownership, and problem-solving

● Ensure timely releases without compromising quality

● Stay hands-on with critical technical decisions and reviews

.


Requirements:

● 5+ years of software engineering experience, with 2+ years in team leadership

● Strong experience in building and scaling backend systems and APIs

● Experience working in a product/startup environment

● Good understanding of system design, architecture, and databases

● Ability to manage engineers while remaining technically credible

● Strong problem-solving and decision-making skills

● Experience working closely with Product teams

● High ownership mindset and bias for action


Good to Have

● Experience in healthcare tech / automation / RPA / AI tools

● Experience building internal tools and workflow systems

● Exposure to cloud infrastructure (AWS/GCP/Azure)

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  • Design single-service systems independently. Define API contracts, data models, scale and reliability requirements. Document and review your design with peers before building.
  • Turn ambiguity into clarity. Take half-formed product tasks and partner with PMs to define what's actually being built. Push back when the ask doesn't make sense.
  • Stay hands-on. Write code that goes into production. Drive code reviews. Debug across service boundaries. Refactor when the codebase needs it.
  • Mentor 1–2 junior engineers. Be someone's first reviewer. Pair when it helps. Take their growth as your responsibility, not a side activity.
  • Be in hiring. Interview candidates regularly. Help shape the interview bar for your function.
  • Own outcomes, not output. Track the business or operational metric your work moves. If it doesn't move, that's a problem you own — not a problem you delivered to.


What we're looking for

  • Over 4 years of professional experience in software development, specifically focused on solving large-scale technical challenges.
  • Expert-level proficiency in at least one major programming language (such as Java, GO, Rust, NodeJS etc) with a focus on writing scalable, maintainable, and unit-tested code.
  • Strong command of object-oriented design, design patterns, and the creation of intuitive class-level interfaces.
  • Hands-on experience with multi-threading, concurrency, and Test-Driven Development (TDD).
  • Deep understanding of relational databases (Postgres) and various NoSQL technologies like HBase, Elasticsearch, or Aerospike, Cassandra
  • Comprehensive knowledge of the full software development life cycle on Linux platforms.
  • Proven ability to build highly scalable applications that manage complex business logic and massive datasets.
  • A proactive, "go-getter" mindset characterized by high energy and dedication to task ownership.
  • Experience thriving in fast-paced startup environments with a strong sense of commitment and accountability.
  • A passionate drive to tackle complex, real-world problems through innovative engineering.
  • You've made and defended technical decisions, picked up problems no one assigned, or built things people use that no one asked for.
  • Strong fundamentals in your primary stack — concurrency, data modeling, debugging across systems, performance work. We're stack-agnostic for the right person.
  • Experience designing systems with explicit attention to scale, reliability, and cost — not just functional correctness.
  • Collaborate with a wide range of stakeholders to monitor project outcomes and iteratively refine features based on real-world impact.






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100 network
100 network
Agency job
via TalentXO by tabbasum shaikh
Bengaluru (Bangalore)
14 - 15 yrs
₹70L - ₹90L / yr
Engineering Leadership
GenAI / LLMs
AI Agents
Platform Architecture
Document Intelligence
+3 more

About the role

You will be a pivotal member of the leadership team, responsible for driving the company's product and platform strategy while overseeing engineering excellence across AI, data, platform, DevOps and infrastructure. This is a mission-critical role for an engineering leader who is both strategic and hands-on, and who can build scalable technologies for global enterprise clients in a fast-paced innovation ecosystem.

Reports to: CEO · Location: Bengaluru, India — hybrid, 3 days a week in office

What you will do

Technology & product leadership

  • Define and drive the technology vision, architecture and long-term platform roadmap.
  • Oversee the architecture, design and delivery of highly scalable enterprise systems.
  • Ensure engineering excellence, velocity and reliability across the product lifecycle.

Engineering & platform management

  • Lead platform engineering, product technology, DevOps, infrastructure and Quality Engineering.
  • Build robust cloud-native systems using the Azure, AWS and GCP ecosystems.
  • Oversee operational effectiveness, including uptime, production reliability and cost optimisation.

Innovation & AI strategy

  • Spearhead Mission AI by developing scalable, production-grade AI/ML and GenAI capabilities.
  • Own the GenAI/LLM solutions architecture.
  • Core specialisation in AI agents and autonomous workflows, data extraction and intelligent automation.
  • Direct hands-on architectural oversight of large language models, applied AI and multi-layered deep learning products.
  • Extensive expertise in building intelligent document automation systems — similar in complexity to patent parsing, legal workflow automation and structured decision intelligence tools.

Technical leadership

  • A proven track record overseeing product architecture, tech strategy and cross-functional engineering execution across core full-stack and AI platforms.
  • Collaborate with executive leadership on business strategy, client requirements and product delivery.
  • Build, mentor and scale high-performing engineering teams with a growth mindset.
  • Establish a strong technology culture grounded in ownership, innovation and continuous learning.

What success looks like

  • Mission AI: build a world-class AI system leveraging GenAI, ML and enterprise-grade data engineering.
  • Hyper-scaling: architect and scale the platform to match global industry leaders in the IP space.
  • Culture building: develop a strong engineering organisation with high ownership, performance and innovation DNA.

Qualifications & experience

  • Preferably under 15 years of enterprise software engineering experience across B2B SaaS or technology-first companies; fewer is fine for an exceptional engineer.
  • A proven track record of taking early-stage AI/ML prototypes and scaling them into robust enterprise SaaS platforms featuring multi-agent orchestration, complex workflows and decision intelligence.
  • Experienced in building and mentoring agile, lean startup teams of full-stack and machine learning engineers from the ground up.
  • Proven leadership in defining and executing technology strategy and platform roadmaps.
  • Extensive cloud-native engineering experience with Azure, AWS and GCP.

Technical expertise

  • Strong full-stack engineering background (Java, Python, JavaScript frameworks).
  • Expertise with JS frameworks such as React, Angular and Node.js.
  • Experience building and scaling distributed systems and microservices.
  • Strong knowledge of databases (SQL, NoSQL), data modelling and unstructured data management.
  • Strong understanding of Agile methodologies and tools (Atlassian, Git, CI/CD pipelines).

Behavioural & leadership competencies

  • Product and delivery management expertise, end to end, including delivery and customer support.
  • Excellent communication, with the ability to influence executive stakeholders.
  • High technical proficiency combined with strong business acumen.
  • Strong analytical and decision-making skills.


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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