Appiness Interactive Pvt. Ltd.

Role Overview

We are looking for a versatile Backend Developer to join our engineering team. You will be responsible for managing the interchange of data between the server and the users, developing server-side logic, and ensuring high performance and responsiveness to requests from the front-end.

This role is unique as it requires a strong command of both Python (for our modern microservices and data processing) and PHP (for our core application logic).

Key Responsibilities

• Feature Development: Build and maintain scalable backend services using Python (Django/FastAPI) and PHP (Laravel/Symfony).
• Integration: Develop and consume RESTful APIs to connect various internal and external services.
• Database Management: Optimize database queries and schema designs (PostgreSQL/MySQL).
• Code Quality: Write clean, maintainable, and efficient code while performing regular code reviews.

Required Skills & Qualifications

• Experience: 3–7 years of professional backend development experience.
• Python Stack: Deep understanding of Python and frameworks like Django, Flask, or FastAPI.
• PHP Stack: Strong proficiency in PHP and modern frameworks like Laravel.
• Databases: Experience with relational databases (MySQL, PostgreSQL) and NoSQL (Redis, MongoDB).

We are looking for a Data Engineer to join a team responsible for important, business-critical data platforms built on the SQL Server ecosystem.

What You’ll Do

Discovery & System Understanding

• Take time to understand the existing data platform, including architecture, data flows, and dependencies
• Build a clear picture of how data is modeled, processed, and consumed across the organization
• Support the translation of what you learn into clear plans for stabilization and improvement Reliability & Ongoing Support
• Help ensure data pipelines run predictably and consistently (daily and weekly jobs)
• Investigate and resolve data issues in a structured and timely manner and coordinate with on-shore team for hand-offs
• Look for opportunities to reduce repeat issues through thoughtful improvements

Data Engineering & Relational Databases

• Design, develop, and maintain SSIS packages and SQL Server Agent jobs
• Write and optimize SQL, including stored procedures, views, triggers, and functions
• Work confidently with relational data models, understanding how tables, keys, and relationships support reporting and analytics
• Tune performance using indexes, statistics, execution plans, and query design
• Support large datasets and well-used tables with an eye toward scalability and reliability

Agile Delivery & Engineering Practices

• Work within an Agile delivery model, participating in planning and retrospectives
• Use Git for version control and collaborate through structured release processes
• Support smooth promotion of changes across environments (Dev → QA → UAT → Prod)
• Take ownership of work from start to finish, with a focus on quality and follow-through

Collaboration & Communication

• Work directly with business and client stakeholders
• Explain data structures, dependencies, and impacts in clear, accessible language
• Collaborate with analytics, application, and platform teams to align on outcomes

What We’re Looking For

Must-Have

• Strong experience with SQL Server (on-premise)
• Advanced SQL skills, including performance tuning
• Hands-on experience with SSIS
• Solid understanding of relational database concepts and data modeling
• Experience supporting production data systems
• Comfortable learning existing systems and building context before making changes
• Clear communication skills and a sense of ownership

Nice to Have

• Experience with SSAS
• Shell scripting for automation
• Exposure to Microsoft Fabric or Azure Data Platform
• Experience with Azure DevOps, Jira, or similar tools
• Work with Azure Data Factory, Delta Lake, and Lakehouse patterns within Microsoft Fabric

Why This Role

• A balanced mix of stability, problem-solving, and forward-looking work
• Opportunity to utilize SQL Server skills to grow and gain skills in the Microsoft Fabric ecosystem

Experience

• 4 - 5 years of experience in data engineering, database engineering, or SQL Server development
• Experience working with established data platforms and relational databases preferred

Location : Bengaluru, India

Type : Full-time

Experience :4-7 Years

Mode :Hybrid

The Role

We're looking for a Full Stack Engineer who thrives on building high-performance applications at scale. You'll work across our entire stack—from optimizing PostgreSQL queries on 140M+ records to crafting intuitive React interfaces. This is a high-impact role where your code directly influences how sales teams discover and engage with prospects worldwide.

What You'll Do

• Build and optimize REST APIs using Django REST Framework handling millions of records
• Design and implement complex database queries, indexes, and caching strategies for PostgreSQL
• Develop responsive, high-performance front-end interfaces with Next.js and React
• Implement Redis caching layers and optimize query performance for sub-second response times
• Design and implement smart search/filter systems with complex logic
• Collaborate on data pipeline architecture for processing large datasets
• Write clean, testable code with comprehensive unit and integration tests
• Participate in code reviews, architecture discussions, and technical planning

Required Skills

• 4-7 years of professional experience in full stack development
• Strong proficiency in Python and Django/Django REST Framework
• Expert-level PostgreSQL knowledge: query optimization, indexing, EXPLAIN ANALYZE, partitioning
• Solid experience with Next.js, React, and modern JavaScript/TypeScript
• Experience with state management (Zustand, Redux, or similar)
• Working knowledge of Redis for caching and session management
• Familiarity with AWS services (RDS, EC2, S3, CloudFront)
• Understanding of RESTful API design principles and best practices
• Experience with Git, CI/CD pipelines, and agile development workflows

Nice to Have

• Experience with Elasticsearch for full-text search at scale
• Knowledge of data scraping, ETL pipelines, or data enrichment
• Experience with Celery for async task processing
• Familiarity with Tailwind CSS and modern UI/UX practices
• Previous work on B2B SaaS or data-intensive applications
• Understanding of security best practices and anti-scraping measures

Our Tech Stack

Backend

Python, Django REST Framework

Frontend

Next.js, React, Zustand, Tailwind CSS

Database

PostgreSQL 17, Redis

Infrastructure

AWS (RDS, EC2, S3, CloudFront), Docker

Tools

GitHub, pgBouncer

Why Join Us

• Work on a product processing 140M+ records—real scale, real challenges
• Direct impact on product direction and technical decisions
• Modern tech stack with room to experiment and innovate
• Collaborative team environment with a focus on growth
• Competitive compensation and flexible hybrid work model

Position Overview:

The AI Tech Lead will architect and guide the implementation of real-time AI systems across voice automation, LLM pipelines, and knowledge-enhanced applications. The role requires strong architectural judgment, hands-on expertise in AI/LLM systems, and the ability to define high-performance, scalable best practices.

Key Responsibilities:

• Architect and guide implementation of real-time AI systems across voice automation, LLM pipelines, and knowledge-enhanced applications

• Design and develop distributed, provider-agnostic AI architectures with performance guarantees including low latency, resilient failover, distributed scaling, and cost-efficiency

• Define architectural best practices for GenAI systems including prompt design, context shaping, fallback logic, caching, and real-time agent orchestration

• Lead AI model governance including evaluation and selection frameworks for multiple LLM providers, routing logic, benchmarking, and cost management

• Establish and monitor KPIs for LLM quality, latency, reliability, grounding accuracy, and system stability

• Ensure data security practices for handling of voice and transcript data, applying PII-safe methods, and supporting multi-tenant data isolation

• Own knowledge integration and RAG architecture including vector databases, retrieval strategies, chunking policies, and hybrid grounding methods

• Continuously evaluate new model capabilities and AI technology trends

Required Skills:

• Architectural judgment and hands-on expertise in AI and LLM systems • Experience designing scalable and low-latency AI architectures

• Knowledge of multi-provider LLM integration and orchestration

• Understanding of distributed systems, microservices, and load balancing

• Strong grounding in AI model governance and benchmarking

• Awareness of data security and privacy best practices

• Experience with retrieval-augmented generation (RAG) and vector databases

Preferred (Bonus) Skills:

• Experience with function-calling and knowledge graphs

• Familiarity with hybrid grounding and retrieval enhancement strategies • Experience with voice automation systems (STT/TTS pipelines). give me in a proper formate

Position Overview: Front-End Developer (Next.js)

We are seeking an experienced Front-End Developer with strong hands-on expertise in Next.js and React.js. The ideal candidate will build and maintain scalable, responsive web applications using modern front-end technologies and best practices in performance, SEO, and rendering techniques.

Key Responsibilities

• Develop and maintain responsive, scalable web applications using React.js and Next.js
• Implement CSR, SSR, and SSG using Next.js best practices
• Build reusable, modular UI components following clean front-end architecture
• Integrate and manage REST APIs for data retrieval, caching, and error handling (React Query or similar)
• Optimize applications for performance, SEO, and accessibility
• Collaborate with backend engineers and UI/UX designers to deliver high-quality user interfaces
• Debug, test, and document code to ensure maintainability and scalability

Required Skills

• Strong knowledge of Next.js fundamentals (routing, rendering techniques, API routes)
• Proficiency with React Hooks and understanding of component lifecycle
• Solid experience integrating REST APIs and handling errors effectively
• Familiarity with state management libraries such as React Query, Redux, or Zustand
• Strong skills in JavaScript (ES6+), HTML5, and CSS3
• 7–10 years of front-end development experience