We are looking for a highly motivated Programmatic SEO professional
to build and scale organic growth through automation, AI, and data-driven SEO strategies. The ideal candidate should have
hands-on experience creating large-scale landing pages, implementing technical SEO best
practices, and leveraging AI to automate content generation while maintaining quality and search
performance.
Key Responsibilities
• Develop and execute scalable Programmatic SEO strategies.
• Build automated landing pages using structured data, templates, APIs, and dynamic content.
• Conduct keyword research and identify high-growth opportunities.
• Lead Technical SEO including crawl optimisation, indexing, schema markup, internal linking, XML
sitemaps, canonical tags, and Core Web Vitals.
• Design AI-powered content workflows for unique, search-optimised content.
• Collaborate with developers to automate SEO processes and improve website performance.
• Monitor rankings, traffic, indexing health, and conversions.
• Stay updated with Google algorithm changes, AI search trends, and SEO best practices.
Required Skills
• Strong expertise in Programmatic SEO, Technical SEO, and On-Page SEO.
• Experience with large-scale websites and dynamic page generation.
• Understanding of HTML, CSS, JavaScript, APIs, databases, and automation workflows.
• Familiarity with AI-assisted content creation and prompt engineering.
• Experience using SEO, analytics, crawling, and keyword research tools.
• Basic knowledge of SQL or Python is an advantage.
Preferred Qualifications
• 3–7 years of SEO experience with Programmatic SEO projects.
• Experience in high-growth digital businesses, marketplaces, e-commerce, or travel platforms.
• Strong analytical and problem-solving skills with the ability to work across teams.
Success Metrics
• Increase organic traffic and keyword visibility.
• Improve indexation and technical SEO health.
• Launch scalable SEO page templates and automation workflows.
• Drive measurable growth in qualified leads or online conversions through organic search.

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Job Title: AI/ML Engineer – Voice (2–3 Years)
Location: Bengaluru (On-site)
Employment Type: Full-time
About Impacto Digifin Technologies
Impacto Digifin Technologies enables enterprises to adopt digital transformation through intelligent, AI-powered solutions. Our platforms reduce manual work, improve accuracy, automate complex workflows, and ensure compliance—empowering organizations to operate with speed, clarity, and confidence.
We combine automation where it’s fastest with human oversight where it matters most. This hybrid approach ensures trust, reliability, and measurable efficiency across fintech and enterprise operations.
Role Overview
We are looking for an AI Engineer Voice with strong applied experience in machine learning, deep learning, NLP, GenAI, and full-stack voice AI systems.
This role requires someone who can design, build, deploy, and optimize end-to-end voice AI pipelines, including speech-to-text, text-to-speech, real-time streaming voice interactions, voice-enabled AI applications, and voice-to-LLM integrations.
You will work across core ML/DL systems, voice models, predictive analytics, banking-domain AI applications, and emerging AGI-aligned frameworks. The ideal candidate is an applied engineer with strong fundamentals, the ability to prototype quickly, and the maturity to contribute to R&D when needed.
This role is collaborative, cross-functional, and hands-on.
Key Responsibilities
Voice AI Engineering
- Build end-to-end voice AI systems, including STT, TTS, VAD, audio processing, and conversational voice pipelines.
- Implement real-time voice pipelines involving streaming interactions with LLMs and AI agents.
- Design and integrate voice calling workflows, bi-directional audio streaming, and voice-based user interactions.
- Develop voice-enabled applications, voice chat systems, and voice-to-AI integrations for enterprise workflows.
- Build and optimize audio preprocessing layers (noise reduction, segmentation, normalization)
- Implement voice understanding modules, speech intent extraction, and context tracking.
Machine Learning & Deep Learning
- Build, deploy, and optimize ML and DL models for prediction, classification, and automation use cases.
- Train and fine-tune neural networks for text, speech, and multimodal tasks.
- Build traditional ML systems where needed (statistical, rule-based, hybrid systems).
- Perform feature engineering, model evaluation, retraining, and continuous learning cycles.
NLP, LLMs & GenAI
- Implement NLP pipelines including tokenization, NER, intent, embeddings, and semantic classification.
- Work with LLM architectures for text + voice workflows
- Build GenAI-based workflows and integrate models into production systems.
- Implement RAG pipelines and agent-based systems for complex automation.
Fintech & Banking AI
- Work on AI-driven features related to banking, financial risk, compliance automation, fraud patterns, and customer intelligence.
- Understand fintech data structures and constraints while designing AI models.
Engineering, Deployment & Collaboration
- Deploy models on cloud or on-prem (AWS / Azure / GCP / internal infra).
- Build robust APIs and services for voice and ML-based functionalities.
- Collaborate with data engineers, backend developers, and business teams to deliver end-to-end AI solutions.
- Document systems and contribute to internal knowledge bases and R&D.
Security & Compliance
- Follow fundamental best practices for AI security, access control, and safe data handling.
- Awareness of financial compliance standards (plus, not mandatory).
- Follow internal guidelines on PII, audio data, and model privacy.
Primary Skills (Must-Have)
Core AI
- Machine Learning fundamentals
- Deep Learning architectures
- NLP pipelines and transformers
- LLM usage and integration
- GenAI development
- Voice AI (STT, TTS, VAD, real-time pipelines)
- Audio processing fundamentals
- Model building, tuning, and retraining
- RAG systems
- AI Agents (orchestration, multi-step reasoning)
Voice Engineering
- End-to-end voice application development
- Voice calling & telephony integration (framework-agnostic)
- Realtime STT ↔ LLM ↔ TTS interactive flows
- Voice chat system development
- Voice-to-AI model integration for automation
Fintech/Banking Awareness
- High-level understanding of fintech and banking AI use cases
- Data patterns in core banking analytics (advantageous)
Programming & Engineering
- Python (strong competency)
- Cloud deployment understanding (AWS/Azure/GCP)
- API development
- Data processing & pipeline creation
Secondary Skills (Good to Have)
- MLOps & CI/CD for ML systems
- Vector databases
- Prompt engineering
- Model monitoring & evaluation frameworks
- Microservices experience
- Basic UI integration understanding for voice/chat
- Research reading & benchmarking ability
Qualifications
- 2–3 years of practical experience in AI/ML/DL engineering.
- Bachelor’s/Master’s degree in CS, AI, Data Science, or related fields.
- Proven hands-on experience building ML/DL/voice pipelines.
- Experience in fintech or data-intensive domains preferred.
Soft Skills
- Clear communication and requirement understanding
- Curiosity and research mindset
- Self-driven problem solving
- Ability to collaborate cross-functionally
- Strong ownership and delivery discipline
- Ability to explain complex AI concepts simply
We are looking for a Golang Developer to help build and scale our platform. This role involves designing high-performance distributed systems, building robust APIs and contributing to systems that handle real-time workflows at scale. You will own problems end to end, working closely with product, engineering and platform teams to build solutions that are reliable and scalable.
Responsibilities
- Develop new and enhance existing microservices, libraries, and features that form our B2B KYC platform.
- Create and document APIs, Queue Contracts to be consumed by other services.
- Work closely with the Product and Engineering Leads to implement features following best design principles and patterns.
- Participate in all phases of the development cycle plan, design, implement, review, test, deploy, document, and training.
- Help junior developers with best practices like TDD etc. and make sure their code meets the standards.
- Educate them continuously to improve overall team performance and work quality.
Requirements
- Development experience (3 to 6 years) preferably on GoLang and scripting skills.
- Bachelors/Masters in Computer Science or equivalent experience.
- Strong understanding of Computer Science fundamentals, software design principles, algorithms & design patterns.
- Interest and ability to quickly learn and ramp up on new languages and technologies.
- Ability to write understandable, reliable and testable code with minimum supervision.
- Distributed, highly available systems running at large scale.
- Distributed platforms which use Kafka, Elasticsearch, Cassandra or similar systems.
- Cloud environments (e. g., Docker, AWS, GCP, Kubernetes etc.,).
- Asynchronous programming patterns (e. g., GO Routines/Channels, Async Programming).
- Experience in CI/CD (Continuous Integration & Delivery), AGILE work environments.
- Ability to troubleshoot and solve issues on distributed systems.
Why join Zoop
- Work on high-scale, real-time systems that power critical identity and onboarding workflows for fast-growing businesses
- Take end-to-end ownership of meaningful engineering problems while building clean, scalable, production-grade systems
- Grow in a strong engineering environment with exposure to distributed systems, cloud-native technologies, and modern architectures
Work Mode: In office (5 days a week)
Location: Viman Nagar, Pune
Required Skills & Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 12+ years of overall experience in IT, with a minimum of 4 years in an Architect role specifically architecting web applications.
- Deep expertise in the Microsoft .NET ecosystem, including .NET Core/.NET 5+, C#, ASP.NET Core, and Web API.
- Extensive experience in designing and implementing microservices architectures and distributed systems.
- Strong proficiency in SQL Server, including database design, T-SQL, query optimization, and performance tuning.
- Proven experience with architectural patterns such as MVC, MVVM, and clean architecture.
- Solid understanding of object-oriented programming (OOP) principles and design patterns (GoF, enterprise patterns).
- Experience with RESTful API design and development.
- Familiarity with version control systems (e.g., Git).
- Excellent analytical, problem-solving, and decision-making skills.
- Strong communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
Preferred Skills (Nice to Have):
- Hands-on experience with cloud platforms (Azure, AWS, or GCP) and related services.
- Exposure to containerization technologies (Docker) and orchestration tools (Kubernetes).
- Experience with message brokers (e.g., RabbitMQ, Kafka, Azure Service Bus).
- Familiarity with modern frontend frameworks (Angular, React, Vue.js).
- Knowledge of DevOps tools and practices (e.g., Azure DevOps, Jenkins, GitLab CI).
- Experience with Agile methodologies (Scrum, Kanban).
- Relevant Microsoft certifications (e.g., Microsoft Certified: Azure Solutions Architect Expert).
Urgent Hiring!!!
We are looking for a 2D Animator/ Motion Graphic Designer
Job Description:
- Motion Graphic Artist with experience to develop our company's overall layout and production animation.
- Motion Graphic Artist: Photoshop / After Effects / Illustrator. Take the design brief to record requirements and needs.
- Think creatively and develop innovative concepts and animation.
Openings: 3 positions (Females only)
Experience: 0.6 to 2 years
Location: Surat (onsite & full-time only)
Role Aem Developer
Location: Noida(hybrid)
Skills:
Strong knowledge of Java and web application development.
Experience with Adobe AEM and its various modules, including AEM Forms, AEM Sites, and AEM Assets.
Strong understanding of HTML, CSS, JavaScript, and web technologies.
Ability to create, configure, and manage workflows, templates, and components in Adobe AEM.
Knowledge of content management systems and web content delivery systems.
Excellent problem-solving and analytical skills.
Ability to work effectively in a team environment and collaborate with cross-functional teams.
Good communication and interpersonal skills.
Ability to manage multiple projects and priorities simultaneously.
We are searching for a talented embedded developer to join our team. You will be working along-side with other engineers and developers working on different layers of the infrastructure. Therefore, commitment to collaborative problem solving, sophisticated design, and creating quality products is essential.
The candidate should be proficient in C and C++ and possess detailed knowledge of microcontroller protocols. The candidate would be responsible for,
-
Design and implement software of embedded devices and systems from requirements to production and commercial deployment.
-
Design, develop, code, test and debug system software
-
Review code and design
-
Analyze and enhance efficiency, stability and scalability of system resources
-
Integrate and validate new product designs
-
Support software QA and optimize I/O performance
Mandatory Skills:
-
Experience in C++ based applications development for embedded system applications
-
Solid understanding of OOPs, SOLID Principles, Design Patterns.
-
Drivers/BSP development on peripherals like ADC, SPI, I2C, UART etc
-
Firmware development experience on ARM Series of microcontrollers
-
Strong knowledge of hardware architecture such as ARM, MIPS, and x86.
-
Familiarity with hardware protocols including USB, UART, I2C, and SPI.
-
Familiarity with OS platforms such as Linux, Unix, and RTOS.
-
Knowledge on different communication protocol like Wi-Fi, Zigbee, Bluetooth and sub–GHz.
-
Basic Hardware knowledge and debugging skills
-
Strong analytical and problem-solving abilities.
-
Strong organizational and project management skills.
-
Strong knowledge of SDLC, test cycle and logical thinking on various complex use case call scenarios.
-
The ability to keep abreast with the latest advancements in technology and techniques.
Desired Skills:
-
Knowledge on IoT based systems
-
Preferably worked on a Linux based project.
-
Ability to lead the team & handle the project and own all technical aspects of design and development of systems from scratch.
-
Meticulous and very organized.
-
You will not hesitate to ask questions and call upon the knowledge of your coworkers to make sure you produce the best possible documentation for our customers.
-
Worked on 3-5 project from starting of project to delivery of project (Depending on experience)
The ideal candidate is a highly resourceful and innovative developer with extensive experience in the Node Js . You must also possess a strong knowledge of Mongo DB
Responsibilities
- Perform a mix of maintenance, enhancements, and new development as required
- Work in a data analyst role and with business intelligence applications
- Document features, technical specifications & infrastructure Responsibilities
- Work cross-functionally to convert business needs into technical specifications
Qualifications
Back-end technologies& Front-end (HTML, JavaScript, CSS), Node js,Mongo Database, MySQL databases
- 1+ years' of experience in web development and software design
- Expertise in Strapi will be a plus point
- should be able to create the APIs
- Payment Gateway Integration( Stripe)
Role : DevOps Engineer
Experience : 1 to 2 years and 2 to 5 Years as DevOps Engineer (2 Positions)
Location : Bangalore. 5 Days Working.
Education Qualification : Tech/B.E for Tier-1/Tier-2/Tier-3 Colleges or equivalent institutes
Skills :- DevOps Engineering, Ruby On Rails or Python and Bash/Shell skills, Docker, rkt or similar container engine, Kubernetes or similar clustering solutions
As DevOps Engineer, you'll be part of the team building the stage for our Software Engineers to work on, helping to enhance our product performance and reliability.
Responsibilities:
- Build & operate infrastructure to support website, backed cluster, ML projects in the organization.
- Helping teams become more autonomous and allowing the Operation team to focus on improving the infrastructure and optimizing processes.
- Delivering system management tooling to the engineering teams.
- Working on your own applications which will be used internally.
- Contributing to open source projects that we are using (or that we may start).
- Be an advocate for engineering best practices in and out of the company.
- Organizing tech talks and participating in meetups and representing Box8 at industry events.
- Sharing pager duty for the rare instances of something serious happening. ∙ Collaborate with other developers to understand & setup tooling needed for Continuous Integration/Delivery/Deployment (CI/CD) practices.
Requirements:
- 1+ Years Of Industry Experience Scale existing back end systems to handle ever increasing amounts of traffic and new product requirements.
- Ruby On Rails or Python and Bash/Shell skills.
- Experience managing complex systems at scale.
- Experience with Docker, rkt or similar container engine.
- Experience with Kubernetes or similar clustering solutions.
- Experience with tools such as Ansible or Chef Understanding of the importance of smart metrics and alerting.
- Hands on experience with cloud infrastructure provisioning, deployment, monitoring (we are on AWS and use ECS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch).
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience in working on linux based servers.
- Managing large scale production grade infrastructure on AWS Cloud.
- Good Knowledge on scripting languages like ruby, python or bash.
- Experience in creating in deployment pipeline from scratch.
- Expertise in any of the CI tools, preferably Jenkins.
- Good knowledge of docker containers and its usage.
- Using Infra/App Monitoring tools like, CloudWatch/Newrelic/Sensu.
Good to have:
- Knowledge of Ruby on Rails based applications and its deployment methodologies.
- Experience working on Container Orchestration tools like Kubernetes/ECS/Mesos.
- Extra Points For Experience With Front-end development NewRelic GCP Kafka, Elasticsearch.










