Fullstack Developer

Ideal Candidate

What You'll Bring

• Experience: 6+ years building production backend systems in Node.js for B2C products at meaningful scale.

• System Design: This one matters a lot to us. You can reason clearly about scalability, reliability, and trade-offs under real constraints.

• Fundamentals: Strong grasp of API design, service-oriented architecture, data structures, algorithms, and clean code.

• Databases: Depth in SQL and/or NoSQL, data modeling, query optimization, and performance tuning.

• AI-Native: You already use LLMs and agentic approaches to maximize your own efficiency as an engineer.

• Mindset: You enjoy the pace and breadth of a small team, and you are happy picking up whatever moves the product forward.

Core Responsibilities:

• Design, develop, and maintain backend services and APIs using Python or Golang.
• Write high-quality, testable, and maintainable code with a focus on performance and scalability.
• Implement automated tests and contribute to CI/CD pipelines.
• Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
• Troubleshoot production issues and provide timely resolutions.
• Participate in design and architecture discussions to improve system efficiency.
• Contribute to improving development processes, coding standards, and best practices.

Experience and Expertise:

• 2–4 years of experience in backend development with Python or Golang.
• Solid understanding of RESTful APIs, microservices, and distributed systems.
• Strong knowledge of data structures, algorithms, and OOPS principles.
• Hands-on experience with relational and/or NoSQL databases.
• Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
• Proficiency with Git and version control workflows.
• Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.

Skills:

• Strong analytical and debugging skills with the ability to solve complex problems.
• Good communication and collaboration skills across teams.
• Ability to work independently with minimal supervision while being a strong team player.
• Growth mindset – eagerness to learn new technologies and improve continuously.

Location: Jaipur (Work From Office)

Employment Type: Full-Time

We're looking for a GenAI Engineer (LLM Engineer) to build scalable AI-powered SaaS applications using Large Language Models (LLMs). You'll develop intelligent AI workflows, integrate LLMs into production systems, and build secure, high-performance AI solutions.

Key Responsibilities

• Integrate LLM APIs (OpenAI, Claude, Hugging Face) into production applications.
• Design and optimize RAG pipelines and prompt engineering workflows.
• Build and manage Vector Databases (Pinecone, Weaviate, pgvector).
• Optimize AI performance, latency, and operational cost.
• Ensure secure, scalable AI architecture.
• Collaborate with Product and Engineering teams to deliver AI-powered features.

Requirements

• 3+ years of backend development using Python, Go, or Node.js.
• Hands-on experience with LLMs, LangChain or LlamaIndex.
• Strong understanding of RAG, Prompt Engineering, and Vector Databases.
• Experience with AWS, GCP, or Azure.
• Knowledge of APIs, Microservices, and AI application development.

Preferred: Experience in SaaS/FinTech, LLMOps, or Model Fine-tuning.

Education: B.Tech, BCA, or equivalent technical qualification.

Apply Now

Application Form: https://zfrmz.com/pAKb2ynfomIsuNwRfRbV?utm_source=cutshort

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

Key Responsibilities

🖥️ Frontend (Angular)

• Develop responsive, accessible web UI for assessment tools, educator dashboards, and parent reports.
• Implement dynamic form builders and scoring interfaces for multiple domains (reading, writing, math).
• Build PDF report previews, filtering tools, and real-time updates.

🔙 Backend (Python/FastAPI)

• Design and implement APIs for user management, assessments, intervention logs, and reports.
• Integrate scoring logic and data aggregation for AI insights.
• Implement secure role-based access (admin, educator, parent).

🛠️ DevOps / Systems

• Maintain scalable architecture with PostgreSQL / MongoDB, Docker, and deployment pipelines.
• Work with AI engineer to connect ML models to backend for prediction and recommendation layers.
• Optimize performance and ensure data security (GDPR-aligned).

Responsibilities

• Design and build highly reliable, scalable and performant infrastructure for media heavy workflows.
• Own large technical deliverables and execute in a structured manner.
• Take the accountability of the overall health of the infrastructure you build.
• Platformize components as libraries, utilities and promote reuse.
• Be able to conceptualize and develop prototypes quickly.
• Lead by example, mentor and guide team members on everything from structured problem solving to development of best practices.

Requirements

• 4 to 10 years of industry experience in software engineering with at least 4 years in Video, Audio & Image processing and streaming technologies.
• Deep expertise with various codecs, compute efficiency, streaming protocols and network topologies for media heavy workflows.
• Deep understanding of your tools: Languages, frameworks, libraries and systems.
• Experience with abstracting requirements into frameworks.
• Hungry to learn, share knowledge, and enjoy mentoring others.
• Data driven, having customer empathy, striving to build best of class, performant services.

In this role, you will be responsible for building world-class technology products and platforms that are at the forefront of the technology revolution in the Indian healthcare ecosystem. You are someone who insists on the highest standards for quality, maintainability, and performance.

Responsibilities:

- Collaborate with cross-functional teams including front-end developers, designers, and system administrators to develop robust and scalable server-side applications.

- Design and implement RESTful APIs and services using Node.js, ensuring efficient data handling and integration.

- Develop database schemas and models for MongoDB, optimizing queries and ensuring data integrity.

- Implement data migration and transformation tasks between different data sources.

- Write efficient and reusable code, following best practices and coding standards.

- Conduct thorough testing and debugging of applications to identify and fix issues promptly.

- Collaborate with DevOps team to deploy applications on servers or cloud platforms.

- Continuously monitor application performance and optimize it for scalability and reliability.

- Stay updated on emerging technologies and trends, actively suggesting improvements and innovative solutions.

Requirements:

- Strong proficiency in Node.js and JavaScript.

- Solid understanding of server-side development and asynchronous programming concepts.

- Experience working with NoSQL databases (e.g., MongoDB).

- Knowledge of database design and query optimization techniques.

- Familiarity with web application security principles and best practices.

- Proficiency in using version control systems (e.g., Git).

- Good understanding of agile development methodologies.

- Excellent problem-solving and analytical skills.

- Effective communication and collaboration abilities.

Greetings from Gateway Group of Companies!!!

• Expertise in nodeJS and javascript frameworks and languages.
• Good knowledge of npm, Git, MongodB, noSQL, GraphQL, Docker, Webpack,
• Ability to rapidly learn and take advantage of new concepts, business models, and technologies

• Good knowledge of software design patterns and software architecture and design principles
• Processes, Methodology and Tools (Agile),
• Digital Asset Development / Application Development, Support and Maintenance / CICD tools / versioning tools
• Security/Information and Application Protection, Business Analysis
• Experience with CMS platforms
• Knowledge of the Apostrophe platform
• Writing unit tests (mocha, chai, sinon)

•  Development of advanced digital solutions, the Lead Backend developer implements complex technical solutions to conceive custom-tailored applications or to adapt those which already exist. He/she checks the functional quality of the developments and works with the product owner to create or redefine functional specifications. He/she is operational and support the technical team by providing help, and solutions to move forward.