Key Responsibilities

• Own core frontend features end-to-end — from architecture to production, in close collaboration with Product and Design
• Build scalable, reusable Vue/Nuxt components with a strong eye for UX, performance, and accessibility
•  Develop and maintain backend REST APIs, WebSocket services, and MCP server integrations using TypeScript/NestJS 
• Design, develop, and integrate AI-powered features into applications using Cloudflare Agents, LangChain, or similar frameworks
• Deploy and manage applications on Cloudflare and AWS /Azure cloud services (Saas based apps in prod),
• Work with relational databases (PostgreSQL / Sqlite , Prisma ORM) — data modeling, query optimization, and schema design
• Collaborate across frontend and backend as needs arise — making simplicity out of complexity
• Leverage AI coding assistants (GitHub Copilot, Claude, Antigravity, or similar) to accelerate development
• Follow agile/scrum development processes — sprint planning, standups, code reviews, and retrospectives
• Write clean, maintainable, production-ready code and uphold engineering best practices 
• Foster a culture of industry-leading UX and technical excellence

Required Skills (Mandatory)

• TypeScript — 7+ years; strong typing, generics, and deep integration with Vue. TypeScript-first for all backend APIs (not Python-first). 
• Python – added adv  ,  
• Vue.js — 5+ years of hands-on experience building production-grade applications
• AI Agents — hands-on experience with Cloudflare Agents, LangChain, LangGraph, Flue, or similar AI frameworks; prompt engineering, RAG
• Cloud Providers — AWS (S3, Athena, k8s/EKS) and/or Azure; hands-on deployment and infrastructure experience-good to have 
• REST APIs, WebSockets, and MCP Servers — designing and consuming APIs; real-time services and Model Context Protocol integration 
• Nuxt /Nest.js — SSR, SSG, and Nuxt app architecture; PWA deployment 
• SQL / PostgreSQL — query optimization, data modeling, and Prisma ORM 
• Git & CI/CD — GitLab CI pipelines, conventional commits, branching strategies 
• Python — working familiarity for scripting and backend tasks (deprioritized; TypeScript preferred for APIs) 
• Angular — familiarity is acceptable but not required;

Lead role tech skills – Problem solving skills, Architectural design

Good to Have 

• UX Engineering — experience with design systems, accessibility standards, and UI implementation; UX engineering background is a strong plus 
• Docker & Kubernetes — containerized deployments and orchestration 
• Kafka (MSK) — event-driven messaging and stream processing 
• Testing: Jest, Vitest, Playwright, Cypress — unit, integration, and E2E testing strategies 
• Health Tech / Payer-side experience — healthcare domain knowledge is a strong plus 
• Microservices architecture — distributed systems design and scalability 
• Vector databases and AI model integrations — experience in AI-native data workflows 

Preferred Qualifications

• Bachelor's degree in Computer Science or a related field
• Strong problem-solving and analytical skills
• Excellent communication and cross-functional collaboration abilities
• Passion for learning new technologies — especially AI, edge computing, and modern frontend engineering
• Experience working in agile, fast-moving product teams
• Ability to lead technical initiatives and mentor peers

Key Responsibilities

• Own core frontend features end-to-end — from architecture to production, in close collaboration with Product and Design
• Build scalable, reusable Vue/Nuxt components with a strong eye for UX, performance, and accessibility
• Develop and maintain backend REST APIs, WebSocket services, and MCP server integrations using TypeScript/NestJS
• Design, develop, and integrate AI-powered features into applications using Cloudflare Agents, LangChain, or similar frameworks
• Deploy and manage applications on Cloudflare and AWS /Azure cloud services (Saas based apps in prod),
• Work with relational databases (PostgreSQL / Sqlite , Prisma ORM) — data modeling, query optimization, and schema design
• Collaborate across frontend and backend as needs arise — making simplicity out of complexity
• Leverage AI coding assistants (GitHub Copilot, Claude, Antigravity, or similar) to accelerate development
• Follow agile/scrum development processes — sprint planning, standups, code reviews, and retrospectives
• Write clean, maintainable, production-ready code and uphold engineering best practices
• Foster a culture of industry-leading UX and technical excellence

Required Skills (Mandatory)

• UX Engineering — experience with design systems, accessibility standards, and UI implementation; UX engineering background is a strong plus
• Docker & Kubernetes — containerized deployments and orchestration
• Kafka (MSK) — event-driven messaging and stream processing
• Testing: Jest, Vitest, Playwright, Cypress — unit, integration, and E2E testing strategies
• Health Tech / Payer-side experience — healthcare domain knowledge is a strong plus
• Microservices architecture — distributed systems design and scalability
• Vector databases and AI model integrations — experience in AI-native data workflows
• Preferred Qualifications
• Bachelor's degree in Computer Science or a related field
• Strong problem-solving and analytical skills
• Excellent communication and cross-functional collaboration abilities
• Passion for learning new technologies — especially AI, edge computing, and modern frontend engineering
• Experience working in agile, fast-moving product teams
• Ability to lead technical initiatives and mentor peers

Good to Have

• TypeScript — 7+ years; strong typing, generics, and deep integration with Vue. TypeScript-first for all backend APIs (not Python-first).
•  Python – added adv  ,
• Vue.js — 5+ years of hands-on experience building production-grade applications
• AI Agents — hands-on experience with Cloudflare Agents, LangChain, LangGraph, Flue, or similar AI frameworks; prompt engineering, RAG
• Cloud Providers — AWS (S3, Athena, k8s/EKS) and/or Azure; hands-on deployment and infrastructure experience
• REST APIs, WebSockets, and MCP Servers — designing and consuming APIs; real-time services and Model Context Protocol integration
• Nuxt /Nest.js — SSR, SSG, and Nuxt app architecture; PWA deployment
• SQL / PostgreSQL — query optimization, data modeling, and Prisma ORM
• Git & CI/CD — GitLab CI pipelines, conventional commits, branching strategies
• Python — working familiarity for scripting and backend tasks (deprioritized; TypeScript preferred for APIs)
• Angular — familiarity is acceptable but not required;  
• Lead role tech skills – Data , Problemills, Architectural design , System designm arch , design

Engines Team | Mid | 3–6 Years Experience

The Role:

The Python Software Engineer will help develop and maintain Python packages that implement healthcare policies, supporting the Engines team that powers Rialtic’s core payment accuracy logic. You will contribute to CI pipelines, containerized cloud applications, and collaborate with a remote team of engineers with diverse backgrounds.

What You Will Do:

• Develop and maintain Python packages that implement healthcare payment policies
• Maintain CI pipelines and GitLab templates for engines, libraries, and reference data packages
• Contribute to the development and maintenance of containerized cloud applications
• Support other engineering teams with shared tooling and processes
• Contribute to data warehouse and lake architecture decisions
• Write well-tested, reliable code with a focus on quality and maintainability

What You Bring

• 3–6 years of overall software development experience with
  • Web Development Frameworks: Proficient in Django, Flask, or FastAPI for building scalable web applications.
  • Database Management: Expertise in databases like SQL, PostgreSQL, or MongoDB for handling data storage and integration.
  • Containerization & Orchestration: Experience with Docker for containerization and Kubernetes for orchestration.
  • Cloud Platforms: Familiarity with cloud platforms like AWS, GCP, or Azure for deploying applications.
• Demonstrated involvement in the same software project over an extended period
• Experience with Python dependency management, packaging, and publishing tools
• Proficiency with Shell scripting, Git, and continuous integration workflows
• Capacity to self-teach, adapt to change, and contribute with a growth mindset

Nice to Have

• Degree in Computer Science, Mathematics, Physics, or Engineering
• Experience with AWS, GitLab CI, Kubernetes, or Docker
• Background working in a startup environment

Tech Stack

Python, Shell scripting, Git, GitLab CI, Docker, Kubernetes, AWS

Role: Python Lead

Job Overview:  

We are looking for an experienced Sr.Python / Lead to lead the design, development, and implementation of robust Python-based applications and solutions. This role involves technical leadership, collaborating with cross-functional teams, mentoring junior developers, and ensuring the delivery of high-quality, scalable solutions. If you are passionate about Python, web frameworks, and leading teams to success, we would love to have you on board.  

Key Responsibilities:

• Lead the development and implementation of Python-based applications, ensuring high-quality, scalable, and efficient code.
• Collaborate with project managers, business analysts, and other stakeholders to understand requirements and translate them into technical specifications.  
• Mentor and guide junior Python developers, providing technical oversight, conducting code reviews, and promoting knowledge sharing within the team.
• Stay up-to-date with the latest Python frameworks, libraries, and industry trends, and drive the adoption of new technologies and best practices.
• Participate in the full software development life cycle, including requirements gathering, design, coding, testing, and deployment.  
• Ensure adherence to coding standards, security protocols, and software development methodologies.
• Troubleshoot and resolve complex technical issues, optimizing performance and ensuring system stability.
• Collaborate with teams like DevOps and QA to streamline processes and promote continuous integration and delivery.

Required Skills:

• Python Expertise: Minimum of 7-10 years of experience in Python development with strong command over the Python programming language and its ecosystem.  
• Web Development Frameworks: Proficient in Django, Flask, or FastAPI for building scalable web applications.  
• Containerization & Orchestration: Experience with Docker for containerization and Kubernetes for orchestration.
• Database Management: Expertise in databases like SQL, PostgreSQL, or MongoDB for handling data storage and integration.
• CI/CD Pipelines: Knowledge in CI/CD pipelines, with hands-on experience with version control systems such as Git for code management.
• Cloud Platforms: Familiarity with cloud platforms like AWS, GCP, or Azure for deploying applications.
• Leadership Skills: Ability to lead a development team, mentor junior members, and foster a collaborative work environment.
• Problem-Solving & Analytical Skills: Strong problem-solving capabilities and analytical thinking to troubleshoot and optimize system performance.  

Good to Have:

• Experience leading and mentoring development teams with a proven track record of successful project delivery.
• Familiarity with Agile development methodologies and experience managing multiple priorities effectively.

Qualifications:

• Education: Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
• Experience: 7-10 years of hands-on experience in Python development and leadership roles.

Why Join Us?  

• Innovative Environment: Work on cutting-edge technologies and lead the development of impactful products.  
• Career Growth: Opportunities for professional development, training, and career advancement.  
• Collaborative Culture: Join a dynamic team that encourages collaboration, innovation, and knowledge sharing.  
• Work-Life Balance: Enjoy flexible working hours and a supportive work environment. 

The Role

The Data Engineer will play a critical role in architecting and developing robust data pipelines that process millions of healthcare claims daily. You will work closely with engineers, product managers, and business stakeholders to build the data infrastructure that drives payment accuracy and business intelligence across Rialtic's platform. 

What You Will Do 

• Develop clear, observable, and well-tested data pipelines in Python 
• Build automation to enable effective integration testing and deployment 
• Streamline transformations across multiple data formats and sources 
• Interface data pipeline strategies with core architecture including Kafka, data lakes, and reporting tools 
• Contribute to data warehouse and lake architecture decisions 
• Collaborate with internal stakeholders to drive data-driven business value 

What You Bring

• 3–6 years of hands-on software development experience 
• 3+ years building and evolving data pipelines and data warehouses or lakes 
• 3+ years with Python, PySpark, Pandas, and related data processing frameworks 
• 2+ years with compiled languages such as Go, C#, or C 
• 2+ years with job orchestration tools such as Airflow, Mage, or AWS Step Functions 
• 2+ years working with SQL and NoSQL databases 
• Exposure to queuing and pipeline technologies such as Kafka or SQS 
• Familiarity with data testing tools such as Great Expectations

Nice to Have

• Experience in healthcare or claims data environments 
• Familiarity with Spark connectors and distributed data processing

Tech Stack

Python, PySpark, Airflow, Kafka, Athena, Postgres, AWS, Kubernetes

Job Overview

The Golang Backend Developer will be responsible for designing, developing, and maintaining scalable backend services ecosystem. This role involves working closely with frontend teams, architects, and infrastructure teams to deliver robust, cloud-native applications. The engineer will focus on building high-performance APIs and microservices using Golang, ensuring system reliability, scalability, and security. 

Basic Qualifications 

• 4 years of relevant software development experience
• Strong backend development experience using Golang
• Minimum 2-3 years of experience building and deploying cloud-native applications

Essential Job Functions / Responsibilities

• Design, build, and maintain scalable ETL pipelines to ingest data from multiple internal and external sources
• Develop and optimize data warehouse/data lake architecture
• Build scalable and high-performance RESTful APIs and microservices
• Design and optimize data storage solutions using SQL databases
• Collaborate with frontend developers to integrate user-facing elements with server-side logic
• Follow Agile/Scrum practices including sprint planning, stand-ups, and retrospectives
• Analyze complex problems and propose efficient backend solutions
• Ensure code quality through best practices, unit testing, and code reviews
• Take ownership of features/modules and deliver high-quality outcomes 
• Work with DevOps teams for CI/CD, deployment, and monitoring

Technical Expertise

• 5+ years of experience in backend development with Golang
• Strong understanding of microservices architecture and distributed systems
• Experience designing and developing REST APIs and event-driven services 
• Hands-on experience with SQL databases (PostgreSQL, MySQL, etc.)
• Familiarity with NoSQL databases (e.g., Cassandra, DynamoDB, Elasticsearch) is a plus
• Experience with Docker and Kubernetes for containerized deployments
• Experience working with cloud platforms (AWS, Azure, or GCP)
• Knowledge of message queues/streaming systems (Kafka, RabbitMQ, etc.)
• Familiarity with OAuth 2.0, JWT, and secure API design
• Experience with Git or similar version control systems

Desired Skills

• Experience in building high-throughput, low-latency systems
• Familiarity with monitoring and observability tools such as Datadog, Prometheus, Grafana 
• Understanding of caching strategies using Redis or Memcached
• Exposure to system design and scalability best practices 
• Experience working in large-scale distributed environments

Job Overview

The Senior Data Scientist will lead the design, development, and deployment of advanced Machine Learning and Generative AI solutions that solve complex business problems using structured, unstructured, and multimodal data. The role combines statistical modeling, predictive analytics, LLM-powered applications, and scalable MLOps practices across modern cloud platforms.

Key Responsibilities

• Translate business problems into analytical frameworks, technical specifications, and AI solution architectures.
• Perform exploratory data analysis (EDA), feature engineering, statistical analysis, hypothesis testing, and experiment design.
• Develop predictive models for classification, regression, forecasting, anomaly detection, clustering, and recommendation systems.
• Develop, train, fine-tune, evaluate, and deploy Machine Learning, Deep Learning, and Generative AI models.
• Build Retrieval-Augmented Generation (RAG) solutions using embeddings, vector databases, semantic search, and enterprise knowledge sources.
• Develop LLM-powered applications for document understanding, summarization, question answering, and intelligent assistants.
• Implement prompt engineering, structured outputs, function calling, evaluation pipelines, and responsible AI practices.
• Build scalable data ingestion, preprocessing, and feature engineering pipelines using distributed data processing frameworks.
• Deploy, monitor, and optimize AI/ML solutions using cloud-native ML platforms, containerization, orchestration, CI/CD, experiment tracking, and model monitoring.
• Optimize inference latency, GPU utilization, scalability, reliability, and operational costs.
• Monitor production models for drift, performance, and business impact.
• Collaborate with cross-functional teams and mentor junior data scientists.

Required Skills

• Strong expertise in Machine Learning, Deep Learning, statistical modeling, predictive analytics, and optimization.
• Hands-on experience with Python, Pandas, NumPy, Scikit-learn, PyTorch, and TensorFlow.
• Strong understanding of probability, statistics, hypothesis testing, feature engineering, model validation, and experimentation.
• Experience building Generative AI applications using LLMs, RAG, embeddings, vector databases, semantic search, prompt engineering, and function calling.
• Experience deploying AI/ML solutions using cloud-native ML platforms, containerization, orchestration, CI/CD, and MLOps practices.
• Experience with distributed data processing frameworks such as Spark and strong SQL skills.

Preferred Skills

• Experience with Python , NLP, Computer Vision, Time Series Forecasting, Recommendation Systems, or Document Intelligence.
• Familiarity with AI orchestration frameworks and vector databases.
• Experience with one or more major cloud platforms (AWS, Azure, or Google Cloud).
• Strong communication, stakeholder management, leadership, and mentoring skills.