Senior Full Stack Software Engineer at Sagesure · Remote only · 7 - 20 years · $30K - $36K / yr · Remote only · Posted 17 Sep 2026

We are seeking a Senior Full Stack Engineer to join our team in a long-term contractor capacity to continue development of a production-grade platform hosted on AWS.
This application supports policy processing, third-party integrations, compliance workflows, reporting, and intelligent automation capabilities. The ideal candidate is a strong software engineer first, capable of contributing across the full stack while helping scale and evolve the platform.
This role requires someone who can step into an existing system, understand complex workflows quickly, and independently deliver high-quality solutions.
Responsibilities
• Design, develop, and maintain full-stack application features across frontend and backend systems
• Build and support integrations with third-party systems and APIs
• Develop workflow-driven processes using Temporal
• Build scalable APIs and backend services using Python
• Maintain and optimize relational databases using PostgreSQL
• Develop reporting and analytics capabilities using charting libraries
• Contribute to AI-enabled features and integrations within the platform
• Improve CI/CD pipelines and deployment processes
• Participate in architecture discussions and help shape long-term technical direction
• Work closely with business and technical stakeholders to deliver production-ready solutions
Required Qualifications
Engineering
• at least 7+ years of full stack software engineering experience
• Strong proficiency in Python
• Strong frontend development experience with modern web frameworks
• Strong backend API development experience
• Experience designing and building scalable applications
• Strong understanding of software architecture and best practices
• Experience working in complex, integrated systems
Workflow and Orchestration
• Proven experience with Temporal
• Experience building and managing workflow orchestration patterns
• Familiarity with asynchronous processing and event-driven systems
Database and Reporting
• Strong experience with PostgreSQL
• Strong SQL and data modeling experience
• Experience building reporting dashboards and analytics features
• Experience with charting libraries such as Chart.js, D3.js, or Plotly
DevOps
• Experience with CI/CD pipelines
• Familiarity with containerized deployments
• Experience with cloud environments and modern development workflows
Preferred Qualifications
• Experience in insurance, surplus lines, or compliance-based applications
• Experience integrating with third-party vendors and external APIs
• Experience with AI tooling, LLM integrations, and context engineering
• Experience building intelligent automation features
What We Are Looking For
• Self-driven and highly autonomous
• Strong problem-solving ability
• Comfortable with ownership and accountability
• Able to contribute with minimal supervision
• Strong communication skills in English
• Comfortable working U.S.-based business hours
Ideal Candidate
A senior full stack engineer who can quickly contribute to an active production system, own features end-to-end, and help expand a platform that sits at the center of complex business workflows and integrations. Send resume with projects and contact information.

About Sagesure
About
Company social profiles
Similar jobs (10)
Full-Stack Engineer (Backend Heavy)
Experience: 4–6 Years | Function: Engineering — Product | Location: On-site
About Us
We’re building the next generation of AI-powered business software, and we’re looking for people who want to shape that future with us. With Lumen, we’re reimagining how users interact with CRM — moving beyond screens, menus and dashboards to an intelligent interface where users can simply ask AI to take actions, retrieve knowledge, generate insights and get work done. With Agent Studio, we’re enabling businesses to build, test and deploy their own AI agents for real-world workflows. And with Invorto, we’re bringing AI to voice, allowing businesses to create intelligent voice agents tailored to their customer and operational use cases.
What makes this especially exciting is the stage and scale of the opportunity. You’ll get to work on genuinely hard problems across LLMs, agents, reasoning, orchestration, voice AI, evaluation, reliability and enterprise security — not as isolated experiments, but as products used in real business workflows. You’ll have the opportunity to build zero-to-one, own meaningful parts of the product end-to-end, work closely with customers, experiment rapidly, and see your work reach production at scale.
Why join now? Because the playbook for enterprise AI is still being written. You won’t just be implementing someone else’s roadmap — you’ll help define the product, architecture and experiences that become that playbook. Expect high ownership, fast iteration, hard technical and product problems, direct customer impact, and the chance to build AI systems that have to work reliably in the real world — not just in a demo.
About the Role
We are looking for a Full-Stack Engineer with a strong backend bias to help build end-to-end product experiences across Lumen and Agent Studio. You will own features from database and API design through to the front-end experience, working closely with product and design to ship AI-powered experiences that real business users depend on every day.
What You’ll Do
Design and build backend services and APIs in Python that power core product and AI-agent features.
Build front-end interfaces and experiences that let users interact naturally with AI agents, insights and CRM workflows.
Own features end-to-end — from data modeling and backend logic to UI implementation, testing and release.
Work with product managers and designers to translate requirements into well-architected, scalable systems.
Integrate with LLM-based and agentic backend systems built by the AI/ML engineering team.
Optimize application performance, reliability and code quality across the stack.
Engage directly with customers and customer success teams to understand workflows, triage issues and inform roadmap decisions.
What We’re Looking For
4–6 years of professional full-stack engineering experience, with a clear backend-heavy skill set in Python.
Strong experience designing and building REST/GraphQL APIs, data models and scalable backend services.
Working proficiency with modern front-end frameworks (e.g., React) to build and integrate user-facing features.
Experience with relational/NoSQL databases, caching and cloud infrastructure.
Ability to move fast in a zero-to-one environment while maintaining code quality and system reliability.
Strong communication skills — this is a customer-facing role, and you will be expected to clearly articulate technical concepts, decisions and trade-offs to both technical and non-technical stakeholders, including customers.
Good to Have
Experience building features on top of LLM or AI-agent backends.
Prior experience in CRM, SaaS or enterprise business applications.
Exposure to real-time or voice-based product interfaces.
About the Role
Shava Studios is building AI-native software products. We are hiring a Mid Senior Full-Stack Engineer to own features end-to-end across the frontend and backend, with depth in system architecture and the AI and real-time systems that connect them. We hire for demonstrated ability rather than years of experience.
Technical Environment
- Frontend: Next.js (App Router), React, TypeScript, Tailwind CSS, MUI, Radix UI, TanStack Query, Zustand, NextAuth; Remotion for in-browser video editing and rendering.
- Backend: Python, FastAPI, SQLAlchemy with PostgreSQL and Alembic, Pydantic; hexagonal (ports-and-adapters) microservices.
- Async & Real-Time: Celery with RabbitMQ, Redis and Redis Streams, server-sent events, and WebSockets.
- AI: LangGraph, deepagents, and LangChain for agent orchestration across multiple GenAI providers (OpenAI, Google, and others).
- Tooling & Quality: Vitest, Playwright, Testing Library, pytest, Hypothesis; ruff and mypy; TDD with a strict line-and-branch coverage gate; Docker; CI on Azure Pipelines.
Responsibilities
- Design, build, and ship full-stack features end-to-end across the UI, backend services, and async job pipelines.
- Design and evolve service APIs, data models, and database schemas with migrations.
- Architect and integrate LLM/agent and other AI capabilities behind clean, provider-agnostic abstractions.
- Build and harden real-time systems (WebSockets, server-sent events, streaming) with reliable delivery and reconnection semantics.
- Design asynchronous processing pipelines: queuing, workers, retries, idempotency, and failure recovery.
- Manage third-party integrations (payments, AI providers, storage) behind well-defined interfaces.
- Optimize frontend and backend performance, state management, and scalability.
- Own security-sensitive concerns: authentication, authorization, secret handling, and secure service-to-service communication.
- Instrument observability: logging, metrics, tracing, and structured error handling.
- Uphold and evolve the architecture and engineering standards through technical design and code review.
- Mentor engineers and raise the quality bar across the team.
Requirements
- Proven full-stack delivery across a React/TypeScript frontend and a Python (or comparable) backend.
- Sound judgment on architecture, API design, and data modeling, with the ability to articulate trade-offs.
- Rigorous testing discipline and comfort with TDD and high coverage standards.
- Ability to work with LLM/GenAI systems; direct experience preferred, though strong engineers eager to learn are welcome.
- Technical leadership: thoughtful code review, clear technical writing, and a focus on root-cause fixes.
Nice to Have
- Production experience with LLM/agent systems (LangGraph, LangChain, or similar).
- Media or video pipelines: encoding, timeline editors, or serverless rendering.
- Async worker systems (Celery, RabbitMQ, Redis).
- Payments/billing and metering systems under concurrency.
- Hexagonal architecture, ports-and-adapters, or DDD experience.
Growth
The role offers substantial influence over architecture and a clear path toward staff-level technical leadership for engineers who raise the team's standards.
The Opportunity
We are building the next generation of engineers at AvancerPI. You will work on real enterprise products and automation rather than isolated training assignments. Depending on your strengths, you may contribute to frontend, backend, APIs, automation, integrations, cloud-native engineering or AI-assisted capabilities.
What You’ll Work On
- Modern web applications and customer-facing product experiences.
- Backend services and REST APIs.
- Python-based automation and platform integrations.
- Databases, data models and application state.
- Terraform and Ansible based infrastructure automation.
- Containers and Kubernetes-based applications.
- Integration with enterprise infrastructure and cloud APIs.
- AI/LLM, RAG and agentic workflows where they solve a real product or operational problem.
- Testing, debugging, Git workflows and CI/CD.
- Product features used by enterprise customers and internal engineering teams.
What We’re Looking For
- BE/BTech/MCA or equivalent technical education.
- Strong programming fundamentals and problem-solving ability.
- Working knowledge of at least one language such as Python, JavaScript/TypeScript, Java or similar.
- Basic understanding of APIs, databases, Git and Linux.
- Curiosity about cloud, infrastructure, automation, Kubernetes and AI.
- Ability to learn unfamiliar technologies independently and ask good technical questions.
- Evidence that you build things: academic projects, GitHub work, internships, hackathons or personal projects.
What Matters More Than a Long Skills List
Fundamentals + curiosity + learning speed + ownership + ability to turn an idea into working software.
What You Can Expect to Learn
- How enterprise products are designed, built, tested and released.
- How software interacts with infrastructure, cloud and Kubernetes platforms.
- How to write maintainable code and participate in design/code reviews.
- How customer problems become product requirements and engineering decisions.
For more information about the company, you can visit our website: https://avancerpi.com/about/
We are looking for a skilled Full Stack Developer with 3+ years of experience in Python and React.js to join our engineering team. The ideal candidate should have strong experience building scalable web applications, developing backend APIs, and creating responsive frontend interfaces.
Key Responsibilities
- Develop and maintain full-stack web applications using Python and React.js.
- Build scalable and secure RESTful APIs using Django, Flask, or FastAPI.
- Develop responsive and user-friendly interfaces using React.js.
- Integrate frontend applications with backend APIs and third-party services.
- Work with databases such as PostgreSQL, MySQL, or MongoDB.
- Write clean, reusable, and maintainable code.
- Troubleshoot, debug, and optimize application performance.
- Participate in code reviews and follow software development best practices.
- Collaborate with UI/UX designers, QA engineers, DevOps, and other developers.
- Write unit and integration tests to ensure application reliability.
- Use Git/GitHub/GitLab for version control.
- Contribute to system design, documentation, deployment, and continuous improvement.
Required Skills
- 3+ years of professional experience in Full Stack Development
- Strong hands-on experience with Python
- Strong experience with React.js
- Experience with Django / Flask / FastAPI
- Good understanding of JavaScript, HTML5, and CSS3
- Strong knowledge of REST APIs
- Experience with PostgreSQL / MySQL / MongoDB
- Good understanding of Git and version control
- Strong knowledge of OOP, data structures, and software development concepts
- Experience with debugging and performance optimization
- Good problem-solving and communication skills
Good to Have
- Experience with TypeScript
- Knowledge of Next.js
- Experience with AWS / Azure / GCP
- Knowledge of Docker and Kubernetes
- Understanding of CI/CD pipelines
- Experience with microservices architecture
- Exposure to AI/ML or GenAI applications is a plus
Education
Bachelor’s degree in Computer Science, IT, Engineering, or a related field.
Strong Python Developer profile with robust AWS exposure
2
Mandatory (Experience 1): Must have 7+ years of hands-on software development experience with at least the recent 4+ years in Python and strong hands on knowledge of AWS
3
Mandatory (Tech skill 1): Must have strong working knowledge of Python.
4
Mandatory (Tech skill 2): Must have good understanding of AWS services including EC2, S3, Lambda, IAM, CloudWatch, and ECS or ECR
5
Mandatory (Tech skill 3): Must be able to write and understand REST APIs
6
Mandatory (Tech skill 4): Must be comfortable with version control tools such as Git, GitHub, Bitbucket, or GitLab
7
Mandatory (Tech skill 5): Must have good understanding of databases such as PostgreSQL, MySQL, or DynamoDB
8
Mandatory (Tech skill 6): Must have familiarity with Linux commands and shell scripting
9
Mandatory (Skill): Must have good debugging and problem-solving skills, with the ability to read existing code and make changes independently with light guidance
10
Mandatory (Skill 2): Must have strong communication skills
11
Preferred (Tech skill 1): Experience with AWS CodeCommit, and exposure to AWS CodeBuild, CodeDeploy, CodePipeline, GitHub Actions, Jenkins, or similar CI/CD tools
12
Preferred (Tech skill 2): Basic understanding of CI/CD pipelines
13
Preferred (Tech skill 3): Experience with Docker or container-based applications
14
Preferred (Tech skill 4): Basic knowledge of infrastructure-as-code tools such as Terraform or AWS CloudFormation
Strong Python Developer profile with robust AWS exposure
2
Mandatory (Experience 1): Must have 7+ years of hands-on software development experience with at least the recent 4+ years in Python and strong hands on knowledge of AWS
3
Mandatory (Tech skill 1): Must have strong working knowledge of Python.
4
Mandatory (Tech skill 2): Must have good understanding of AWS services including EC2, S3, Lambda, IAM, CloudWatch, and ECS or ECR
5
Mandatory (Tech skill 3): Must be able to write and understand REST APIs
6
Mandatory (Tech skill 4): Experience designing and architecting scalable backend applications/services on AWS, including making decisions around application architecture, APIs, databases, and AWS services
7
Mandatory (Tech skill 5): Must be comfortable with version control tools such as Git, GitHub, Bitbucket, or GitLab
8
Mandatory (Tech skill 6): Must have good understanding of databases such as PostgreSQL, MySQL, or DynamoDB
9
Mandatory (Tech skill 7): Must have familiarity with Linux commands and shell scripting
10
Mandatory (Skill 1): Must have good debugging and problem-solving skills, with the ability to read existing code and make changes independently with light guidance
11
Mandatory (Skill 2): Must have strong communication skills
12
Preferred (Tech skill 2): Experience with AWS CodeCommit, and exposure to AWS CodeBuild, CodeDeploy, CodePipeline, GitHub Actions, Jenkins, or similar CI/CD tools
13
Preferred (Tech skill 3): Basic understanding of CI/CD pipelines
14
Preferred (Tech skill 4): Experience with Docker or container-based applications
15
Preferred (Tech skill 5): Basic knowledge of infrastructure-as-code tools such as Terraform or AWS CloudFormation
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.
Euphoric Thought Technologies is a technology-driven firm focused on building scalable software solutions that streamline complex business processes. Operating at the intersection of data engineering and cloud infrastructure, the company serves a diverse portfolio of clients across the fintech and enterprise SaaS sectors. With a culture rooted in technical excellence and agile problem-solving, Euphoric Thought Technologies empowers its engineers to own their modules from conception to deployment, fostering an environment where high-impact code is the primary driver of growth.
Role Overview:
As a Python Developer specializing in Flask, you will be responsible for architecting and maintaining robust backend services that power our core platforms. Must have hands on experience in React.js ,You will work closely with cross-functional teams, including product managers and frontend engineers, to translate business requirements into high-performance API endpoints. Your daily contributions will directly influence the scalability and reliability of our applications, ensuring that our users experience seamless performance even as our data volume and traffic continue to grow.
Key Responsibilities:
- Design and implement scalable RESTful APIs using the Flask framework to support high-traffic web applications.
- Optimize database queries and schema designs in SQL to ensure low-latency data retrieval for complex reporting modules.
- Deploy and manage backend services on AWS infrastructure, ensuring high availability and efficient resource utilization.
- Collaborate with the engineering team to conduct rigorous code reviews, maintaining high standards for code quality and maintainability.
- Troubleshoot and resolve production-level bottlenecks to improve the overall stability of the application ecosystem.
- Integrate third-party services and internal microservices to expand the functionality of our existing product suite.
Required Skillset:
- Demonstrated expertise in building production-grade applications using Python and the Flask framework with 5 years of professional experience.
- Strong proficiency in React.js.
- Hands-on experience with AWS cloud services, including EC2, RDS, and S3, for deploying and scaling backend infrastructure.
- Ability to communicate technical concepts clearly to non-technical stakeholders and work effectively in a collaborative, team-oriented environment.
- Strong analytical mindset with the ability to debug complex issues and provide long-term architectural solutions.
- Comfortable working in a hybrid office environment in Bangalore, demonstrating the ability to manage tasks independently while staying aligned with team goals.
- A degree in Computer Science, Engineering, or a related field is preferred, though equivalent professional experience is highly valued.
Experience:
- Python: 5 years (Preferred)
- AWS: 3 years (Preferred)
- Flask: 3 years (Preferred)
- React.js 4 years (Preferred)
We’re building financial data systems that power real business decisions — and we need someone who knows how to make Django, PostgreSQL, Celery, and APIs play nicely at scale.
You know what clean, reliable backend systems look like — because you’ve built them. You’ve handled authentication quirks, rate limits, and webhooks; you build code that’s maintainable, performant, and correct.
If you’re curious about financial data, transactions, and KPIs, and enjoy turning numbers into insight, this role is for you. (Experience with banking or accounting APIs is a big plus.)
What You’ll Do
- Build and maintain Django-based systems using Celery for async and scheduled tasks
- Integrate and manage data from multiple APIs (banking, accounting, analytics, etc.)
- Design and optimize internal APIs
- Improve reliability, scalability, and performance
- Collaborate closely with product and frontend engineers
Your Profile
You’re an experienced backend engineer who is strong in all core areas of modern Python development:
- Python, Django, Django REST Framework
- Celery and asynchronous / distributed task handling
- PostgreSQL and robust data modeling
- Docker and containerized deployment workflows
- Unit testing (pytest or equivalent) and maintainable test structures
- Git, CI/CD, and reliable deployment automation
- API integrations (REST, OAuth, webhooks)
- Caching strategies & background job handling (preferred Redis experience)
- Solid understanding of security, permissions, and performance optimization
You’ve already built or scaled production-grade systems and can take ownership from architecture to deployment.
Experience with fintech or data integration systems is an advantage.
How We Work
We’re a small, remote-first team that values ownership over micromanagement.
You’ll have freedom in how you work — what matters is your impact.
Our daily language is English.
About finban
We’re building a platform that helps businesses understand and manage their financial performance in real time by connecting and analyzing data from banking, accounting, and analytics systems.
If you’ve built or scaled production Django systems before and love clean architecture — we’d love to see your work.
Sr Backend Developer (Full Stack – Python / Django)
Preference: Please apply only if you are an IIT/NIT graduate and have strong hands-on experience in full-stack development with Python & Django.
Insurance/InsurTech experience is preferred. Strong engineering fundamentals and a willingness to learn the domain are more important.
Office location – Bangalore
Work mode – Onsite
Working Days – 5 days a week
Budget - 12-15 LPA
Work Experience - 2-5 years
Role Summary
We’re hiring Sr Backend Developers with strong full-stack Django expertise to own backend workstreams end-to-end and contribute to frontend development when needed. Hands-on Python/Django experience is essential.
(HTML, JavaScript, jQuery, CSS).
Key Responsibilities
Design, build, and maintain scalable backend services and APIs for Fuse-OS
Own medium-to-complex workstreams end-to-end: data models, APIs, background jobs, and light UI
wiring
Improve reliability, performance, observability, and maintainability of production systems
Apply sound engineering practices for multi-tenant SaaS (security, permissions, data isolation)
Collaborate closely with frontend, QA, and product/delivery to ship high-quality releases
Mentor other backend engineers through design discussions, pairing, and code reviews
Participate in architecture discussions and help evolve platform technical standards
Support production troubleshooting and continuous improvement of engineering quality
Required Skills & Qualifications
Solid experience with Django REST Framework, asynchronous job processing (e.g., Celery), Redis, and
PostgreSQL
Proven ability to design data models, write migrations, and ship maintainable APIs
Full-stack capability: HTML, JavaScript, jQuery, and CSS sufficient to complete UI wiring without blocking
frontend
Strong debugging skills across application, database, and background-job layers
Experience collaborating in Agile teams with clear quality standards and delivery cadence
Preferred / Nice to Have
Hands-on Selenium automation experience with Python (big plus)
AWS familiarity (compute, storage, messaging, monitoring, IAM basics) — optional but strongly preferred
Experience with multi-tenant architectures, containers, and production SaaS operations
Exposure to document/data processing pipelines, reconciliation-style systems, or enterprise integrations
Awareness of application security, RBAC, auditability, and privacy-by-design practices
Interest in AI-assisted product workflows and intelligent automation
What We Offer
Opportunity to build a category-defining Insurance Distribution Operating System (Fuse-OS)
Work on modern multi-tenant SaaS architecture with meaningful ownership and mentoring
Collaborative product and engineering culture focused on quality and customer outcomes
Exposure to enterprise SaaS, AI-enabled workflows, and large-scale operational systems






