Software Engineer

• Experience in Core Java, CXF, Spring.
• Experience in spring boot, microservices.
• Extensive experience in developing enterprise-scale n-tier applications for the financial domain. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications.
• Good development experience with RDBMS, preferably Sybase database
• Good knowledge of multi-threading and high volume server side development
• Experience in sales and trading platforms in investment banking/capital markets
• Basic working knowledge of Unix/Linux
• Excellent problem solving and coding skills in Java
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

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)

Full-Stack Machine Learning Engineer

Role: Full-Time, Long-Term Required: Python Preferred: C++

OVERVIEW

We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.

The ideal candidate combines strong software engineering fundamentals with deep ML expertise, particularly in time series forecasting and quantitative applications. You should be comfortable operating independently, making architectural decisions, and owning systems end-to-end.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency writing clean, production-grade code—not just notebooks. Deep understanding of NumPy, Pandas, and their performance characteristics. You know when to use vectorized operations, understand memory management for large datasets, and can profile and optimize bottlenecks. Experience with async programming and multiprocessing is valuable.

Machine Learning (Required): Hands-on experience building and deploying ML systems in production. This goes beyond training models—you understand the full lifecycle: data validation, feature engineering, model selection, hyperparameter optimization, validation strategies, monitoring, and maintenance.

Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.

You should understand overfitting deeply—not just as a concept but as something you actively defend against through proper validation, regularization, and architectural choices.

Data Pipelines (Required): Design and implement robust pipelines handling real-world messiness: missing data, late arrivals, schema changes, upstream failures. You understand idempotency, exactly-once semantics, and backfill strategies. Experience with workflow orchestration (Airflow, Prefect, Dagster) expected. Comfortable with ETL/ELT patterns, incremental vs full recomputation, data quality monitoring, database design and query optimization (PostgreSQL preferred), time series data at scale.

C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.

HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION

We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.

DOMAIN EXPERIENCE: FINANCIAL DATA AND CRYPTO

Preference for candidates with experience in quantitative finance, algorithmic trading, or fintech; cryptocurrency markets and their unique characteristics; financial time series data and forecasting systems; market microstructure, volatility, and regime dynamics. This helps you understand why reproducibility is non-negotiable, why validation must account for temporal structure, and why production reliability cannot be an afterthought.

ENGINEERING STANDARDS

Code Quality: Readable, maintainable code others can modify. Proper version control (meaningful commits, branches, code review). Testing where appropriate. Documentation: docstrings, READMEs, decision records.

Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.

Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.

WHAT WE ARE LOOKING FOR

Self-Direction: Given a problem and context, you break it down, identify the path forward, and execute. You ask questions when genuinely blocked, not when you could find the answer yourself.

Long-Term Orientation: You think in years, not months. You make decisions considering future maintainability.

Intellectual Honesty: You acknowledge uncertainty and distinguish between what you know versus guess. When something fails, you dig into why.

Communication: You explain complex concepts clearly and document your reasoning.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a production ML system you built, (3) Links to relevant work if available, (4) Availability and timezone.

JOB PROFILE: - SOFTWARE ENGINEER TRAINEE

• Experience with Web fundamentals like HTML5, JavaScript, CSS3, and JSP, etc.
• Good understanding of Object-Oriented JavaScript (OOJS), ES6,
• Hands-on exp in Web app development using modern client-side MVC frameworks using ReactJS
• Thorough understanding of ReactJs and its core principles
• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
• Experience developing custom reusable components in ReactJS
• Proficient understanding of unit testing using JavaScript test frameworks like JEST
• Experience integrating REST APIs
• Ability to understand business requirements and translate them into technical requirements

Backend Developer/FullStack Developer - ANGULAR,JAVA

We are seeking an experienced Senior Backend Engineer to join our passionate team. If you have a strong background in backend development, a track record of delivering scalable and reliable solutions, and are eager to contribute to complex projects, we would love to hear from you.

Responsibilities:

• Design and develop robust, high-performance backend solutions using Python and related technologies.
• Lead the architecture and design discussions for major backend components and services.
• Collaborate closely with cross-functional teams to gather and analyze software requirements.
• Mentor and guide junior and mid-level engineers, fostering their technical growth.
• Review code and provide constructive feedback to ensure code quality and adherence to best practices.
• Identify and address performance bottlenecks, scalability challenges, and technical issues.
• Participate in sprint planning, task estimation, and agile development processes.
• Keep up-to-date with industry trends, tools, and best practices to continuously improve our backend systems.
• Drive the adoption of coding standards, design patterns, and engineering best practices.
• Collaborate with frontend engineers to ensure seamless integration between frontend and backend components.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Minimum of 4 years of professional experience in backend development.
• Strong proficiency in Python and backend frameworks like Django and Flask.
• In-depth knowledge of database systems, both relational (MySQL) and NoSQL (MongoDB, etc. ).
• Proven track record of designing and developing scalable and maintainable backend services.
• Experience with RESTful API design and best practices.
• Solid understanding of software architecture, design principles, and software development lifecycle.
• Previous experience leading or mentoring engineers is a strong plus.
• Strong problem-solving skills and a proactive attitude towards challenges.
• Excellent communication skills, both verbal and written.
• Familiarity with cloud platforms (e. g., AWS, Azure, GCP) and containerization (Docker) is a plus.

Minimum Requirements

• 8+ years development experience
• Solid Experience and knowledge of

• Coding and debugging using Object Oriented languages like Java, C++, Go or similar languages.
• Database design, Query optimizations, pitfalls (both SQL, NoSQL)
• Developing Scalable, distributed systems and patterns
• Developing REST and/or GraphQL based APIs
• Writing and driving Clean code in a team (via SOLID principles).
• Knowledge of writing unit tests
• NodeJS

• Experience with GoLang/Python
• Experience with Microservices, designs and patterns
• Experience with Dockers/Kubernetes and orchestration
• Familiarity with    Reactive    programming    and patterns like RxJs/RxJava, CQRS, Eventing systems
• Experience with automating DevOps lifecycle
• Proficiency with

• Work with Product team and Drive design, development and deployment of the overall architecture and individual modules to support our Apps , website and internal tools
• Ensure the entire stack is designed and built for availability, speed, scalability, testability, debugging
• Design and development of our REST and GraphQL API
• implement and improve continuous integration and deployment
• Serve as a technical lead for the team
• Mentor team members

Our team is looking for experienced backend engineers to lead the development of our cloud-based software products and be responsible for major technical decisions associated with them and accountable for their successful execution.

In this position on the software engineering team, you’ll have the opportunity to contribute to client and internal facing products. FarmSetu’s suite of products spans multiple technical domains and disciplines in software and hardware, and experience in end-to-end systems thinking across distributed components is key for this role.

• Design, implement and deploy back-end services
• Lead the delivery of software projects in a team-based environment
• Collaborate cross-functionally with business users, product managers, customer success representatives and other engineers to define, design, scope and ship new features using elegant solutions.
• Provide recommendations for continuous improvement.
• Work alongside other engineers on the team to elevate technology and consistently apply best practices.
• Help others to improve the quality of their work through regular design and code reviews
• Deliver new features to production environments and support them in operation
• Participate in building the open engineering culture at FarmSetu

FarmSetu’s technology stack includes (but will not be limited to) Python, Django/Flask/FastAPI, GraphQL, Hasura, React, Flutter, Dart, Postgres, Celery, Docker, Git/Bitbucket to be deployed on Digitalocean/GCP infrastructure. We’re also quick to adopt better tools and processes, so you’ll be more than welcome to help shape our tool suite.

• 2+ years of experience developing applications at an enterprise scale using the front and back-end technologies in our stack
• Ability to develop robust and scalable backend services defined by GraphQL and RESTful APIs in Python using OpenAPI standards
• Familiarity with Cloud/SaaS architectures and how to build secure and maintainable services
• Strong understanding of unit testing, design patterns and usage of tools like profilers
• Experience with source control and continuous integration tools
• Worked in an Agile multi-functional team
• Thrive in an environment that requires you to partner with multiple cross-functional teams as stakeholders/customers
• Great oral and written communication skills

• Competitive salary
• Annual compensation reviews
• 12 days of annual leave plus public holidays
• Ongoing investment in you and your skills
• The right equipment for the job

• Proven hands-on Software Development experience
• Proven working experience in Java development
• Hands on experience in designing and developing applications using Java EE platforms
• Object Oriented analysis and design using common design patterns.
• Profound insight of Java and JEE internals (Classloading, Memory Management, Transaction management etc)
• Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate)
• Experience in the Spring Framework
• Experience as a Sun Certified Java Developer
• Experience in developing web applications using at least one popular web framework (JSF, Wicket, GWT, Spring MVC)
• Experience with test-driven development

You Will:

• Lead, coach and mentor a team of 8-10 engineers so they all learn, grow, and succeed.
• Plan and prioritize work for your team, including collaborating with cross border teams.
• Provide oversight and accountability for technical decisions.
• Create an inclusive environment that attracts and retains high-performing engineers.
• You will collaborate with Developers, Program Managers, QA and Devops Engineers in an agile development environment.
• Constantly learn and grow as an engineer and an engineering leader.
• Demonstrate a passion for customers and technology.


You must have:

• Experience in the design, development, and deployment of large-scale enterprise applications with multiple tiers
• Exposure on agile test-driven development for robustness, usability, reliability, security and performance.
• Strong technical aptitude for any programming language, preferred, Core JAVA and Spring Boot and other Spring libraries, Eureka, Hystrix etc.
• Experience of creating architecture or developing web services using Open source technologies and to integrate applications with databases such as Oracle, MySQL, MongoDB, or Cassandra
• Solid understanding of OOPS, algorithms and data structures.
• Experience on Kafka / Scala / Storm / Elastic Search and Web Services like RESTful.
• Experience in building highly scalable distributed systems
• Extensive experience with version control systems (Git is preferred) and issue tracking systems (JIRA is preferred)

Big Pluses if you:

• Have a strong focus on business outcomes
• Are comfortable with collaboration, open communication and reaching across functional borders
• Are self-motivated and can get things done
• Have the ability to communicate and defend your ideas clearly
• Have a strong knowledge of threading, concurrency, scaling, and high availability.
• Have a desire to build products that users love

• Stay current with new and evolving technologies via formal training and self-directed education