Appiness Interactive Pvt. Ltd.

Role Overview

We are looking for an AI/ML Engineer with 2 - 6 years of industry experience to develop and deploy machine learning solutions for industrial and smart manufacturing use cases. The role involves working with real-world industrial data, developing predictive and analytical models, and translating business and operational requirements into scalable AI/ML solutions.

The ideal candidate should have strong fundamentals in machine learning, Python, data processing, model development, and deployment, along with an interest in applying AI to manufacturing, industrial automation, and operational optimization.

Key Responsibilities

• Design, develop, train, and evaluate machine learning models for industrial and manufacturing use cases.
• Analyze large and complex datasets to identify patterns, trends, anomalies, and opportunities for optimization.
• Perform data preprocessing, feature engineering, model selection, and performance evaluation.
• Develop solutions for use cases such as predictive maintenance, anomaly detection, quality prediction, process optimization, forecasting, and equipment monitoring.
• Work with structured and time-series data generated from industrial equipment, machines, sensors, and operational systems.
• Develop and optimize ML pipelines for data preparation, model training, validation, and deployment.
• Collaborate with domain experts, data engineers, software engineers, and business stakeholders to understand requirements and translate them into technical solutions.
• Deploy machine learning models into production environments and monitor model performance.
• Troubleshoot model and data-related issues and continuously improve model accuracy, reliability, and scalability.
• Develop reusable code, APIs, and components to integrate ML models with enterprise and industrial applications.
• Document models, methodologies, experiments, results, and technical implementations.
• Stay updated with emerging AI/ML techniques, industrial AI trends, and smart manufacturing technologies.

Required Technical Skills

• Strong programming experience in Python.
• Good understanding of Machine Learning algorithms and concepts.
• Experience with libraries/frameworks such as Scikit-learn, Pandas, NumPy, and preferably TensorFlow or PyTorch.
• Strong understanding of data preprocessing, feature engineering, model training, validation, and evaluation.
• Experience working with time-series data is preferred.
• Good understanding of statistical concepts and data analysis.
• Experience with SQL and relational databases.
• Understanding of model deployment and productionization of ML solutions.
• Familiarity with Git and software development best practices.
• Good problem-solving and analytical skills.

Preferred Skills

• Experience in Industrial AI, Smart Manufacturing, Industry 4.0, or Industrial IoT (IIoT).
• Experience with predictive maintenance, anomaly detection, forecasting, or quality inspection.
• Exposure to sensor data, machine/equipment data, telemetry, or real-time industrial data.
• Knowledge of computer vision for manufacturing or quality inspection use cases.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Familiarity with Docker, Kubernetes, or CI/CD for ML deployment.
• Knowledge of MLOps concepts and tools.
• Exposure to Generative AI/LLMs is an added advantage. 

Role Overview

We are looking for an experienced Network Security Engineer to design, implement, maintain, and secure enterprise network infrastructure. The role requires a strong understanding of network security principles, hands-on experience with security technologies, and the ability to troubleshoot complex network and security issues.

The ideal candidate will work closely with network, infrastructure, cloud, application, and security teams to ensure secure, resilient, and highly available network environments. The candidate should be comfortable handling security incidents, performing root-cause analysis, implementing security controls, and contributing to continuous improvement of the organization's network security posture.

Key Responsibilities

• Design, implement, configure, and maintain enterprise network security infrastructure.
• Manage and support network security technologies including firewalls, VPNs, IDS/IPS, secure gateways, and network access controls.
• Configure and maintain security policies, access rules, NAT, VPN tunnels, and related network security controls.
• Monitor network traffic and security events to identify potential threats, anomalies, and unauthorized access.
• Troubleshoot complex network connectivity and security-related issues and perform root-cause analysis.
• Investigate and respond to network security incidents in coordination with security and infrastructure teams.
• Review firewall and network security rules regularly and ensure they follow established security standards and business requirements.
• Support secure connectivity across data centers, corporate networks, remote locations, cloud environments, and third-party networks.
• Participate in network security assessments, vulnerability remediation, and security hardening activities.
• Implement and maintain network segmentation and access-control mechanisms.
• Work with internal teams to assess security requirements for new applications, infrastructure, and network changes.
• Participate in change management, implementation, and post-change validation activities.
• Maintain network security documentation, architecture diagrams, configurations, and operational procedures.
• Contribute to security improvement initiatives, automation, standardization, and operational efficiency.
• Work with vendors and technology partners for issue resolution, upgrades, and technical escalations.
• Ensure network security operations align with organizational policies, industry standards, and compliance requirements.

Required Skills

• Strong experience in network security engineering and enterprise networking.
• Good understanding of TCP/IP, DNS, DHCP, HTTP/HTTPS, routing, switching, VLANs, and network protocols.
• Hands-on experience with enterprise firewalls and security gateways.
• Strong understanding of VPN technologies, IPsec, SSL/TLS, NAT, and access-control policies.
• Experience with IDS/IPS, network monitoring, traffic analysis, and security event investigation.
• Experience troubleshooting network and security issues across complex environments.
• Good understanding of network security architecture, segmentation, and secure connectivity.
• Experience with incident management, change management, and root-cause analysis.
• Familiarity with security best practices, vulnerability management, and network hardening.
• Strong analytical, troubleshooting, and problem-solving skills.
• Good written and verbal communication skills with the ability to work effectively with technical and non-technical stakeholders.

Preferred Skills

• Experience with security technologies from vendors such as Palo Alto, Fortinet, Cisco, Check Point, or similar.
• Exposure to cloud networking and cloud security across AWS, Azure, or GCP.
• Knowledge of Zero Trust, SASE, SD-WAN, or network access control concepts.
• Experience with security monitoring/SIEM platforms.
• Exposure to scripting or automation using Python, PowerShell, or similar technologies.
• Relevant certifications such as CCNA/CCNP Security, PCNSE, Fortinet certifications, or equivalent are an advantage.

Key Competencies

• Network Security Engineering
• Enterprise Network Troubleshooting
• Firewall & VPN Management
• Security Incident Handling
• Network Monitoring & Analysis
• Security Hardening
• Root-Cause Analysis
• Risk & Vulnerability Awareness
• Change & Configuration Management
• Stakeholder Communication
• Problem Solving
• Documentation & Process Discipline

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