Fullstack Developer

Job Title : Senior Software Engineer (Full Stack — AI/ML & Data Applications)

Experience : 5 to 10 Years

Location : Bengaluru, India

Employment Type : Full-Time | Onsite

Role Overview :

We are seeking a Senior Full Stack Software Engineer with strong technical leadership and hands-on expertise in AI/ML, data-centric applications, and scalable full-stack architectures.

In this role, you will design and implement complex applications integrating ML/AI models, lead full-cycle development, and mentor engineering teams.

Mandatory Skills :

Full Stack Development (React/Angular/Vue + Node.js/Python/Java), Data Engineering (Spark/Kafka/ETL), ML/AI Model Integration (TensorFlow/PyTorch/scikit-learn), Cloud & DevOps (AWS/GCP/Azure, Docker, Kubernetes, CI/CD), SQL/NoSQL Databases (PostgreSQL/MongoDB).

Key Responsibilities :

• Architect, design, and develop scalable full-stack applications for data and AI-driven products.
• Build and optimize data ingestion, processing, and pipeline frameworks for large datasets.
• Deploy, integrate, and scale ML/AI models in production environments.
• Drive system design, architecture discussions, and API/interface standards.
• Ensure engineering best practices across code quality, testing, performance, and security.
• Mentor and guide junior developers through reviews and technical decision-making.
• Collaborate cross-functionally with product, design, and data teams to align solutions with business needs.
• Monitor, diagnose, and optimize performance issues across the application stack.
• Maintain comprehensive technical documentation for scalability and knowledge-sharing.

Required Skills & Experience :

• Education : B.E./B.Tech/M.E./M.Tech in Computer Science, Data Science, or equivalent fields.
• Experience : 5+ years in software development with at least 2+ years in a senior or lead role.
• Full Stack Proficiency :
• Front-end : React / Angular / Vue.js
• Back-end : Node.js / Python / Java
• Data Engineering : Experience with data frameworks such as Apache Spark, Kafka, and ETL pipeline development.
• AI/ML Expertise : Practical exposure to TensorFlow, PyTorch, or scikit-learn and deploying ML models at scale.
• Databases : Strong knowledge of SQL & NoSQL systems (PostgreSQL, MongoDB) and warehousing tools (Snowflake, BigQuery).
• Cloud & DevOps : Working knowledge of AWS, GCP, or Azure; containerization & orchestration (Docker, Kubernetes); CI/CD; MLflow/SageMaker is a plus.
• Visualization : Familiarity with modern data visualization tools (D3.js, Tableau, Power BI).

Soft Skills :

• Excellent communication and cross-functional collaboration skills.
• Strong analytical mindset with structured problem-solving ability.
• Self-driven with ownership mentality and adaptability in fast-paced environments.

Preferred Qualifications (Bonus) :

• Experience deploying distributed, large-scale ML or data-driven platforms.
• Understanding of data governance, privacy, and security compliance.
• Exposure to domain-driven data/AI use cases in fintech, healthcare, retail, or e-commerce.
• Experience working in Agile environments (Scrum/Kanban).
• Active open-source contributions or a strong GitHub technical portfolio.

Job Description-

Experience- 4 to 6 years

Location- Bangalore

As an embedded Full-Stack Developer, you build and operate Python-leaning full-stack features with strong API, CI/CD, and production-support discipline, working alongside an existing squad architecture.

As an embedded Full-Stack Developer, you turn Python + React delivery into reliable, production-grade features.

Key responsibilities

1. Build features. Develop Python-leaning full-stack functionality (React front end secondary).

2. Own APIs. Design and maintain REST APIs integrated with enterprise systems.

3. Automate delivery. Build and maintain CI/CD pipelines; contribute to observability and vulnerability remediation.

4. Support production. Provide production support, triage, and fixes for live services.

5. Collaborate. Work within the existing squad structure and stand-ups.

6. Iterate on quality. Use monitoring and feedback to improve reliability and performance.

Must-have qualifications

• Python-leaning full-stack development (React preferred secondary); 3-15 years depending on level

• Strong API design and integration experience

• CI/CD pipeline experience

• Production-support experience (triage, incident response, fixes)

Job Title: Software Engineer

Location: Bengaluru 

Experience: 1-3 Years 

Working Days: 5 Days

About the Role:

We are reimagining how enterprises in BFSI and healthcare interact with documents and workflows through AI-first platforms. Our focus is on Intelligent Document Processing (IDP), GenAI-powered analysis, and Human-in-the-Loop (HITL) automation to transform credit decisioning, underwriting, and compliance operations.

Role Overview:

As a Software Engineer, you’ll design and build next-generation AI systems and scalable backend platforms. You’ll collaborate with ML, product, and data teams to develop LLM-powered microservices, APIs, and document intelligence tools that process unstructured data (PDFs, images, HTML) securely and efficiently.

Key Responsibilities:

• Design, develop, and optimize scalable backend systems and APIs for AI and document workflows.
• Collaborate with cross-functional teams to integrate LLM agents and deploy GenAI-based microservices.
• Build tools to structure unstructured data for downstream decisioning logic.
• Ensure security, performance, and reliability of systems handling sensitive financial and healthcare data.
• Take ownership of modules end-to-end—from concept to production rollout and monitoring.

Tech Stack:

• Languages: Python, TypeScript, JavaScript
• Frameworks: Node.js, React.js, LangChain
• AI & ML Tools: OpenAI APIs, OCR (Tesseract, AWS Textract), Pandas, spaCy, FinBERT, LLMs (GPT, Claude)
• Infra & DevOps: AWS, GCP, Docker, Kubernetes, PostgreSQL, Redis, GitHub Actions, Datadog, Grafana

You’ll Excel If You Have:

• 1–3 years of experience in backend or full-stack development
• Experience with unstructured data, PDFs, or document-heavy systems
• Exposure to GenAI/LLM APIs (OpenAI, Claude, etc.)
• Strong product mindset and ability to ship scalable, usable features in fast-paced environments

Fountane Archipelago  ·  Island Role

A Little Bit About the Role

We are looking for a Senior Product Engineer (L3) who thrives in complexity. Most engineers build on blank canvases — you build on someone else’s mess and leave it better than you found it.

The majority of your work at L3 will be on existing, live codebases — disorganised, partially documented, built by multiple teams over multiple years. Your job is to enter those systems, understand them before touching them, extend and clean them without breaking what works, and progressively bring them up to a standard where AI tooling can accelerate further development. This is the core of what L3 does at Fountane. If you have only built greenfield projects, this role will be hard.

You are expected to be genuinely full stack: comfortable owning web applications and mobile apps, the frontend, backend, database, state management, and API integration layer — without needing to hand off to a specialist.

You will work closely with the Concept Engineer on your Island — translating their prototypes into production architecture, raising technical blockers early, and keeping the sprint honest. You will also review code, mentor junior engineers, respond to production incidents, and contribute to the network’s shared knowledge base.

All of this is done primarily with Cursor and Claude as your execution and reasoning tools. AI-assisted engineering is not a feature of this role — it is the method.

AI-First Engineering Expectation

Cursor and Claude are your primary tools — not supplements. Engineers at L3 who are not using AI at the codebase level are not operating at this level.

At L3, AI-assisted engineering means:

• Loading full codebase context into Cursor before writing a single line — understanding the system before touching it.
• Writing scoped, precise refactor prompts that isolate changes to one concern at a time.
• Using Cursor to generate tests that document existing behaviour before any restructuring begins.
• Using Claude for architecture reasoning, decision documentation, and translating CE briefs into structured technical plans.
• Producing inline documentation and decision records as part of the AI-assisted workflow — not as an afterthought.
• Sharing effective prompt patterns and Cursor discoveries with the broader Fountane network — kept to yourself, they are a missed contribution.

Key Responsibilities

Legacy Codebase Refactoring & the Cleaning Phase

This is the primary L3 engagement type at Fountane. You will be handed existing, partially documented codebases — built by previous teams, often without tests, with inconsistent patterns — and your job is to refactor them into a clean, AI-promptable state without losing existing functionality. You use Cursor’s codebase context window to navigate safely, write characterisation tests before touching anything, and make changes in small, reviewable increments. The standard is: every module you leave should be easier to extend by AI tooling than when you found it.

Full Stack Development — Web & Mobile

Build and own the full application layer: React / Next.js web frontends, React Native or Flutter mobile apps, Node.js / Python backends, and relational and non-relational databases. You should be able to pick up web or mobile on any engagement without needing a handoff. Schema design, data modelling, and state architecture are yours to own — including diagnosing and fixing broken or leaking state in existing frontends.

Third-Party API Integrations

Integrate complex third-party services — payments (Stripe), communications (Twilio), auth (Auth0), and others — reliably and without creating brittle dependencies. Own the integration layer end to end: error handling, retries, failure modes, and documentation. If a third-party integration is flaky in production, that is your problem to own.

CE Collaboration & Sprint Integrity

Work directly with the Concept Engineer to translate prototypes into buildable technical plans. Review CE briefs before the sprint starts — if the scope is technically unrealistic, the time to say so is before work begins, not on demo day. Raise blockers against acceptance criteria proactively. You are the technical check on what the CE promises the client.

Security Awareness

Write code that does not require the Lead to security-audit every line. This means: input validation by default, no hardcoded secrets, correct auth scoping, safe handling of user data, and awareness of common vulnerabilities (injection, broken auth, insecure direct object references) in the context of the stacks you work in. You are not the security architect — the Lead owns that — but you are expected to produce code that does not introduce obvious vulnerabilities.

Production Incident Response

When something breaks in production, you are on it. Diagnose the issue, apply a safe fix or rollback, document what happened and why, and hand a clear summary to the Lead for the client post-mortem. Speed matters, but a bad fix that causes a second incident is worse than a slow fix that is correct. Response expectation: acknowledged within 1 hour, resolved or escalated with a clear status within 4 hours.

Codebase Navigation & Safe Refactoring

On all engagements — not just Cleaning Phase work — keep changes small, focused, and reviewable. One type of change per commit. Write tests that document existing behaviour before restructuring. Leave every module easier to understand than when you found it.

Code Review

Review pull requests from L1 and L2 engineers with specific, actionable feedback — not rubber-stamp approvals. A good code review at L3 leaves the author understanding what to do differently next time, not just what to fix now. Review weekly; do not let PRs age.

Mentoring

Review junior engineers’ code weekly with specific, useful feedback — this is distinct from quality-gate code review. The goal here is teaching, not gatekeeping. Run monthly pairing sessions to help them grow. The measure of good mentoring is whether they are becoming more capable and less dependent on you over time.

Documentation

Write short decision records when you make significant technical choices. Leave every module you touch easier to understand than when you found it. Treat documentation as part of the engineering work, not a separate task you do at the end.

Qualifications

• 5+ years of experience as a software engineer, with a strong track record on real production codebases you did not build from scratch — incomplete documentation, inconsistent patterns, other people’s decisions. If your experience is primarily greenfield, this role will be a difficult fit.
• Genuinely full stack across web and mobile: proficient in React / Next.js and at least one of React Native or Flutter, Node.js or Python on the backend, and comfortable with both relational and non-relational databases including schema design.
• Hands-on, daily Cursor and Claude usage at the codebase level. You should be able to describe concretely how you use AI in your engineering workflow — not in general terms.
• Experience integrating complex third-party APIs in production environments — not just following a quickstart guide. You should be able to describe an integration that failed in production and what you did about it.
• Solid security awareness for the stacks you work in: input validation, auth scoping, safe data handling. You do not need a security specialism, but you should not be writing code that introduces obvious vulnerabilities.
• Has conducted meaningful code reviews that improved the code and the author, not just approved the PR.
• Has coached or mentored junior engineers before, and done it well.
• Comfortable with production incident response — diagnosing issues under pressure, applying safe fixes, and communicating clearly to a Lead or client about what happened.
• Treats documentation as part of the job, not an afterthought.
• Bachelor’s or Master’s in Computer Science or a related field, or equivalent experience.

About Fountane

Fountane is a technology ventures lab - one part product studio, one part startup engine. We build high-quality software and AI products for clients ranging from fast-moving startups to large enterprises, and we co-build and invest in new companies when we see the right opportunity.

Founded in 2017 and headquartered in Minneapolis, we have grown to 60+ people across four continents and were recognised as one of America’s fastest-growing companies, ranking No. 699 on the Inc. 5000 with 595% three-year growth.

We are radically open-minded, serious about craft, and direct about expectations. If you want to do meaningful work without politics, this is the place.

We’re Hiring: Fullstack Developer (Node.js/Python + React.js)

Location: Bangalore

Type: Full-Time

Experience: 2 to 5 Years

Key Responsibilities

Develop and maintain full-stack web applications using Node.js/Python backends and React.js frontend.

Build scalable backend APIs (Express.js, Nest.js, Django, FastAPI, Flask) and integrate with frontend components.

Write clean, maintainable JavaScript/TypeScript and Python code following best practices.

Participate in code reviews and contribute to technical discussions.

Collaborate with cross-functional teams to deliver high-quality products.

Debug and troubleshoot across the full stack, ensuring seamless deployments.

Optimize application performance and ensure responsive user experiences.

✅ Required Skills

2–5 years of hands-on full-stack development experience.

Strong proficiency in JavaScript (ES6+) and modern web development concepts.

Backend expertise with Node.js (Express.js, Nest.js) OR Python (Django, FastAPI, Flask).

Frontend expertise in React.js, including hooks and modern component patterns.

Experience with RESTful API development & integration.

Database knowledge in SQL (PostgreSQL, MySQL) and NoSQL (MongoDB).

Familiarity with Git and collaborative workflows.

Strong problem-solving, debugging, and performance optimization skills.

Knowledge of agile methodologies and software development lifecycle.

📌 Skills:

SQL | JavaScript | React.js | Node.js | Python

About Us

Aquil Software is a dynamic and innovative IT company focused on delivering cutting-edge web applications and digital solutions. We pride ourselves on a collaborative team culture, continuous learning, and rapid growth.

Role Overview

We’re seeking an experienced Full Stack Developer to architect, develop, and maintain scalable web applications. The ideal candidate will be comfortable working across the entire stack—from crafting responsive front-end interfaces in Angular to building robust back-end services in PHP (Laravel & CakePHP) and Node.js.

Key Responsibilities

Front-End Development:

• Design and implement frontend integration using Angular (v8+).
• Ensure optimize performance.

Back-End Development:

• Build RESTful APIs and microservices using PHP (Laravel and CakePHP) and Node.js.
• Integrate with databases (MySQL, PostgreSQL, MongoDB) and third-party services.

Maintenance & Troubleshooting:

• Diagnose and resolve production issues with minimal downtime.
• Monitor application performance and implement optimizations.

Collaboration & Documentation:

• Work closely with UX/UI designers, QA engineers, and stakeholders.
• Write clear technical documentation and user guides.

Required Qualifications

Education: Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).

Experience:

• Fresher willing to learn and commit for long term bright future.
• 1-3 years building applications with Angular.
• Strong PHP background, with at least one year each in Laravel and CakePHP.
• Experience developing server-side applications in Node.js.

Technical Skills:

• Proficient in JavaScript/TypeScript, HTML5, CSS3/Sass.
• Deep understanding of MVC frameworks (Laravel, CakePHP) and dependency injection.
• RESTful API design and implementation.
• Experience with relational and NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Familiarity with Git version control workflows.
• Knowledge of authentication/authorization (OAuth, JWT).

Soft Skills:

• Strong problem-solving and debugging abilities.
• Excellent communication and teamwork.
• Self-motivated, detail-oriented, and adaptable to changing requirements.

What We Offer

• Competitive salary and performance bonuses.
• Flexible working hours.
• Professional development learning resources.
• Collaborative, inclusive culture with regular team events.