
Job Summary:
We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.
Responsibilities:
AI Strategy Development:
- Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
- Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.
Solution Design:
- Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
- Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
- Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.
Data Management:
- Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
- Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.
AI Model Development:
- Lead the development and deployment of AI and machine learning models.
- Implement best practices for model training, testing, and validation.
- Monitor and optimize model performance to ensure accuracy and efficiency.
Microservices Architecture:
- Define and implement microservices architecture patterns and best practices.
- Ensure that microservices are designed for scalability, flexibility, and resilience.
- Collaborate with development teams to build and deploy microservices-based applications.
Monitoring Systems:
- Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
- Implement proactive alerting and reporting mechanisms to identify and address issues promptly.
Integration and Deployment:
- Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
- Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.
Compliance and Security:
- Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
- Implement security measures to protect AI models, data, and microservices.
Stakeholder Communication:
- Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
- Translate technical concepts into non-technical language for various audiences.
Research and Innovation:
- Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
- Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.
Requirements:
- Bachelor's or Masters degree in computer science, Data Science, or a related field.
- Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
- Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
- Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
- Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
- Excellent communication and interpersonal skills.
- Ability to lead cross-functional teams and drive innovation.
- Strong problem-solving and critical-thinking abilities.
- Knowledge of regulatory requirements and data privacy standards related to AI and microservices.
Preferred Qualifications:
- AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
- Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
- Previous experience with enterprise architecture frameworks (e.g., TOGAF).
This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

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Position Name : Senior Software Architect
📍 Location : UB City, Bengaluru (Hybrid – 3 days in office)
🕒 Experience : 11 to 18 Years
📅 Notice Period : Immediate to 1 month
👥 Open Positions : 2
Role Overview :
- We are looking for a Senior Software Architect to design, build, and scale high-performance SaaS B2B applications.
- The ideal candidate will have deep expertise in MERN stack (MongoDB, Express.js, React.js, Node.js), AWS, and microservices-based architectures.
- This role requires at least 3 Years of experience in an Architect position, with a strong background in building scalable products and handling daily releases.
Key Responsibilities :
- Architect and develop scalable SaaS B2B products using React, Node.js, GraphQL, Elasticsearch, and Micro Frontend Architecture (MFE).
- Design and implement microservices-based distributed systems and RESTful APIs.
- Optimize frontend interfaces using React, Redux, Next.js, HTML, and CSS.
- Develop robust backend APIs using Node.js, Express.js, and MongoDB/PostgreSQL.
- Utilize AWS services (EC2, S3, SQS, SNS, DocumentDB, OpenSearch) and containerization (Docker, Kubernetes).
- Implement scalable database schemas and ensure optimal performance.
- Work with GraphQL for efficient data querying and manipulation.
- Ensure security, reliability, and high availability of the platform.
- Lead and mentor development teams, conduct code reviews, and enforce best practices.
- Collaborate with cross-functional teams to deliver business-driven software solutions.
Required Skills & Experience :
✅ 3+ Years as a Software Architect and currently in an Architect role.
✅ 5+ Years of experience in full-stack development with the MERN Stack.
✅ Strong knowledge of scalable architectures, microservices, and cloud-native SaaS products.
✅ Experience in AWS deployment, cloud infrastructure, and DevOps.
✅ Hands-on experience with Micro Frontends (MFE).
✅ Experience in handling everyday releases and working in Agile environments.
✅ Strong problem-solving skills, logical thinking, and architectural decision-making.
✅ Bachelor’s or Master’s degree in Computer Science or related field.
Preferred :
- Experience in B2B SaaS product development.
- Background in product-based companies.
- No prior experience in Walmart or similar large enterprises.
- Candidates should be based in Bengaluru (Outstation candidates will not be processed).
Job Title
Python Full Stack Developer – AI
Experience: 6-9 Years
Location: Bangalore (Hybrid)
Employment Type: Full-Time
Job Summary
We are seeking a highly skilled Python Full Stack Developer with AI expertise to design, develop, and deploy scalable AI-powered applications. The ideal candidate should have strong experience in Python, Full Stack Development, REST APIs, modern frontend frameworks, and Generative AI technologies, including LLMs, prompt engineering, and AI integrations.
The role involves building end-to-end web applications, integrating AI models, and collaborating with cross-functional teams to deliver innovative AI-driven solutions.
Key Responsibilities
· Design, develop, and maintain scalable full-stack applications using Python.
· Build responsive and interactive user interfaces using React.js, Angular, or Vue.js.
· Develop backend services and RESTful APIs using Django, Flask, or FastAPI.
· Integrate Generative AI models such as OpenAI GPT, Claude, Gemini, or Llama into business applications.
· Develop AI-powered chatbots, assistants, document processing, and workflow automation solutions.
· Implement prompt engineering techniques to optimize AI model performance.
· Build Retrieval-Augmented Generation (RAG) pipelines using vector databases.
· Work with LangChain, LangGraph, or LlamaIndex for LLM orchestration.
· Integrate AI APIs and third-party services into enterprise applications.
· Design and optimize SQL and NoSQL databases.
· Deploy applications on AWS, Azure, or GCP.
· Develop CI/CD pipelines and manage deployments using Docker and Kubernetes.
· Write clean, reusable, and well-documented code following best practices.
· Participate in Agile ceremonies, code reviews, and sprint planning.
Required Technical Skills
Backend
· Python
· Django
· Flask
· FastAPI
Frontend
· React.js / Angular / Vue.js
· HTML5
· CSS3
· JavaScript (ES6+)
· TypeScript
AI / Generative AI
· OpenAI API
· Azure OpenAI
· Gemini API
· Claude API
· Llama Models
· LangChain
Databases
· PostgreSQL
· MySQL
· MongoDB
· Redis
Cloud & DevOps
· AWS / Azure / Google Cloud Platform
· Docker
· Kubernetes
· Git
· GitHub
· Jenkins
· CI/CD
API Development
· REST APIs
· GraphQL (Preferred)
· API Integration
Preferred Skills
· Machine Learning fundamentals
· NLP (Natural Language Processing)
· Hugging Face Transformers
· TensorFlow or PyTorch
· Kafka or RabbitMQ
· Elasticsearch
· Microservices Architecture
· Authentication (OAuth2, JWT)
Qualifications
· Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
· 6–9 years of experience in Python Full Stack Development.
· Hands-on experience with Generative AI and LLM-based application development.
· Experience working in Agile/Scrum environments.
Senior-level .NET Developer
Experience – 5–8 years
Location – Remote
Core Requirements -
- Proficiency in modern C# and .NET SDK, including async/await and LINQ.
- Familiarity with .NET 8 and modern .NET development.
- Experience with Azure App Service, Azure Functions, and Azure DevOps.
- Strong experience with .NET Core and cross-platform application development.
- Understanding of microservices, containerization, and serverless computing patterns.
- Familiarity with integrating AI/ML technologies into .NET applications. Claude Code preferred.
- Understanding of DevOps practices and tools, including Azure DevOps.
- React 18+: Experience with concurrent rendering, Suspense, and server components if using Next.js.
- TypeScript: Strong experience building typed React applications.
- State Management: Experience with Redux Toolkit, Zustand, or React Query for server state.
- UI Frameworks: Experience with Material UI (MUI), Chakra UI, or Tailwind CSS.
- Routing: Experience with React Router v7 or Next.js routing if SSR/SSG is used.
- API Integration: Experience with Fetch API, Axios, or React Query for consuming .NET APIs.
- Form Handling: Experience with React Hook Form or Formik, including validation using Yup/Zod.
- Testing: Experience with Jest, React Testing Library, and/or Cypress for E2E testing.
- Build Tools: Experience with Vite, Webpack 6, or Turbopack.
- Performance Optimization: Experience with code splitting, lazy loading, and memoization.
- CORS: Understanding of CORS configuration in ASP.NET Core for React clients.
Nice to Have -
- Experience in Case Management, Legal, Financial, or Mortgage domains.
- Legacy development experience, as the role will involve some legacy work while transitioning to newer development.
If your code breaks here, it doesn’t just throw an error.
Jobs don’t get fulfilled. Farmers lose trust during crop windows that don’t wait.
We’re hiring a Software Development Engineer in Bangalore to build the systems that keep real-world operations running — from customer-facing products to the internal tools field teams depend on every morning.
→ Design, build, and ship across the stack: backend services, APIs, mobile/web field apps, and operational dashboards
→ Build systems for deployment, attendance, check-in/check-out, work verification, and issue resolution
→ Make products work in low-connectivity, field-heavy conditions with offline-first and vernacular-first experiences
→ Own features end to end — from design discussions to deployment to on-call
→ Work closely with Product, Ops, and field users to solve what’s actually happening on the ground
→ Contribute to data pipelines and analytics that power planning, forecasting, and unit economics
• 1–5 years building production software
• Comfortable across the stack, or deep in one area and ready to stretch
• Strong ownership mindset — you ship, debug production issues, and care if it works for the user
• Pragmatic with trade-offs and able to balance speed with quality
• Bonus if you’ve built for low-bandwidth, offline-first, next-billion-user contexts
Stack: Python, Django, React, PostgreSQL, Redis, AWS/GCP, Docker, CI/CD
You’ll be building software for the real economy — farmers, labour, livelihoods — not another dashboard for another SaaS tool.
📍 Bangalore (on-site) | Reporting to CTO
If this sounds like you — or someone you’d bet on — tag them in the comments or DM me.
#Hiring #SoftwareEngineer #BackendEngineer #FullStackDeveloper #BangaloreJobs #TechJobs
Note: Apply only if you have worked minimum of 2 years in your current organisation
Basic Qualifications
- Bachelor’s degree in Engineering with specialization in Computer science or related field
- 5+ years of experience as a software engineer in a product development setting
- Love of technology and experience with one or more programming languages from Java, Python, or Go
- Experience in full-stack development including designing APIs and integration patterns, implementing security, implementing frameworks for Unit and End-to-End testing
- Experience with micro-services architecture
- Experience in one or more frameworks like Spring, GRPC, Flask, etc.
- Extensive experience in a test-driven development environment
- Understanding of CI/CD practices including code check-in policies, automated unit tests, automated code deployments, etc.
- Ability to grasp new technologies and use them effectively to create industrial-strength software.
Preferred Qualifications
- Good communication skills. You can communicate well in the English language with product managers, your team members, and external stakeholders, to understand their needs and convey yours, in a clear, precise manner - verbally, or in writing.
- Strong collaboration skills. You have demonstrated the ability to work with both - senior & junior technical professionals and get work done. You quickly earn the trust of the people you work with. People enjoy and have fun working with you.
- Deadline oriented. You understand that deadlines are meant to be met. Challenges will surface, and obstacles and roadblocks will cause delays, but you plan for them in advance and still ship your features on time to meet your commitments.
- Bias for action. Your default setting is to take action, and not wait for things to happen. You love to learn about new technologies and advancements in the software industry.
About Us:
We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.
This is a role for highly technical engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, frameworks, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.
What you will do at Episource:
You will be responsible for setting an agenda to develop and build machine learning platforms that positively impact the business, working with partners across the company including operations and engineering. You will be working closely with the machine learning team to design and implement back end components and services. You will be evaluating new technologies, enhancing the applications, and providing continuous improvements to produce high quality software.
Required Skills:
-
Strong background in analytics, BI or data science deployments is preferable with 2-6 years of experience
-
Knowledge of React/Vue, HTML, CSS
-
Experience building and consuming APIs
-
Experience with MySQL, MongoDB and MEAN stack
-
Knowledge and experience with serverless architectures is a plus
-
Hands-on experience with AWS or any major cloud service provider for deploying solutions
-
Experience with Docker or Kubernetes in deploying solutions on the cloud
-
Hands-on experience Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.
-
Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling
JD of Java Full Stack Developer:-
Java 8 / java 11
o Strong on OOPS concepts / not theoretically, should be able to analyze the outcome of a code snippet and also should have an ability to write code during the interview
o Should be well versed with the key features of Java 8 / Java 11
o Some of the concepts to mentions would be
§ Upcasting / downcasting / exception handling
JUNIT5 – Mockito / PowerMock
JPA & Hibernate
o Should be well versed with Java persistence and key concepts, to mention a few as below
o First level cache
o Second level cache
o N+1 problem
Microservices
o Should be well versed with the design patterns, to mention few such as
§ Aggregator
§ Circuit breaker
§ CQRS
o Should be able to explain a micro-service for CURD operations with spring boot
o Should be well versed with the HTTP codes
Splunk / Kibana
· Frontend tools:- Angular/React/Nodejs.
Responsibilities:
- Working directly with clients to understand requirements for a green field development
- Designing the technology and cloud infrastructure architecture to achieve the functional and nonfunctional requirements
- The product you will be working on needs to scale up to support millions of users an efficient micro service distributed architecture
- Solution needs to be easy to deploy and manage on multiple cloud providers (AWS, GCP or Azure)
- Mentoring, guiding and training the team on various technology, quality and security aspects
- Guiding the team to implement automated CI/CD processes
- Strong analytical, problem solving and data analysis
- Excellent communication, presentation and interpersonal skills are a must
- Micro service frameworks such as Java SpringBoot
- Design and implement automated unit and integration tests
- Writing scalable, robust, testable, efficient, and easily maintainable code
- Familiarity with most AWS Services - EC2, ECS, RDS, ECR, S3, SNS, SQS, and more
- Experience with Docker and Kubernetes
- Deploying and Scaling microservices to AWS
- Hands-on experience with AWS cloud platform in evaluation and cost estimation
• 3+ Years of experience as a Lead Developer
• Experience in ReactJS (most preferred) or AngularJS similar front end frameworks
• Experience with the Python or/and Golang (preferably both), SQL, and design/architectural
patterns
• Experience in Java or dotnet or other opensource technologies is an added advantage
• Hands-on experience on SQL, Query optimization, DB server migration
• Preferably experience in Postgre SQL or MySQL
• Knowledge of NOSQL databases will be an added advantage
• Experience in Cloud platforms like AWS, Azure with knowledge of containerization, Kubernetes is an
added advantage
• Knowledge of one or more programming languages along with HTML5/CSS3,Bootstrap
• Familiarity with architecture styles/APIs (REST, RPC)
• Understanding of Agile methodologies
• Experience with Threading, Multithreading and pipelines
• Experience in creating RESTful API’s With Golang or Python or Java in JSON, XMLs
• Experience with GitHub, Tortoise SVN Version Control
• Strong attention to detail
• Strong knowledge of asynchronous programming with the latest frameworks
• Excellent troubleshooting and communication skills
• Strong knowledge of unit testing frameworks
• Proven knowledge of ORM techniques
• Skill for writing reusable libraries Understanding of fundamental design principles for building a scalable
application
1. Should have deep knowledge in the relevant tech stack (JAVA, MEAN, MERN, LAMP, etc.,) with Micro-services experience.
2. Must be well versed with algorithms
3. Should have in-depth knowledge of databases - SQL, NoSQL, Mongo DB.
4. Should be able to suggest the best stack and provide an optimized approach to complete a project.
5. Should be able to covert requirements into sprint plans and estimations.
6. Should be able to jump on client calls and translate and break down business level requirements into developer goals/sprints.
7. Should be able to step in and code/solve problems when required
8. Should be able to review the code of the developers and objectively define points for improvement
9. Should be willing to learn new stacks and spend a lot of time on RnD
10. Should be able to get things done :)
11. Should be able to assess risks involved in the projects.














