CTO/Co-founder

• Strong AI/ML OR Software Developer Profile
• Mandatory (Experience 1) - Must have 3+ YOE in Core Software Developement (SDLC)
• Mandatory (Experience 2) - Must have 2+ years of experience in AI/ML, preferably in conversational AI domain (spped to text, text to speech, speech emotional recognition) or agentic AI systems.
• Mandatory (Experience 3) - Must have hands-on experience in fine-tuning LLMs/SLM, model optimization (quantization, distillation) and RAG
• Mandatory (Experience 4) - Hands-on Programming experience in Python, TensorFlow, PyTorch and model APIs (Hugging Face, LangChain, OpenAI, etc

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 currently hiring for multiple Talent Acquisition Partner positions for our team at www.qrata.co, Qrata is a talent startup that helps scale funded startups globally, we work with most of the top VCs in India as well as help build remote engineering teams for US/Europe-based startups. We will be launching our talent product to analyze talent using machine learning to help our customers find the right fit.

Responsibilities

• Build an effective candidate pipeline through Inbound/Outbound sourcing channels with minimal dependency
• Source and recruit candidates by using databases, social media, and hiring portals (Naukri, IIM Jobs, LinkedIn etc.) and other creative sources
• Plan and execute candidate engagement activities, including owning the candidate experience from start to finish, pre-onboarding engagement, and post-joining engagement.
• Keep track of employee growth and the company's atmosphere and culture to ensure that it remains pleasant and productive.
• Research, mapping, company analysis, pitching, understanding the startup ecosystem, having intelligent discussions with talent and founders, preparing talent for interviews, and following up with talent are all things which need to be handled.
• Drive outcomes with zeal, think and act fast, and function long-term and in the best interests of the organization.

What are we Looking for

• Ability to work with a wide range of clients, including senior level business leaders and seasoned professional candidates within the engineering organization; proficient in using data to guide decisions and change
• Recognize how to recruit and keep the best brains from all walks of life while harnessing the potential of a diverse workforce.
• Ability to mix the position of strategic talent adviser with a sense of urgency while also managing and achieving outcomes in a fast-paced, expanding environment
• Proven track record of developing talent pipelines and sourcing
• Continuously developing talent pipelines and identifying suitable individuals is a plus.
• A thorough grasp of and application of recruitment metrics to guide decision-making is highly recommended.
• Ability to talk intelligently about the firm and respond to any technical inquiries posed by a prospective recruit
• 3 plus years of experience

Star Points if you have

• Startup Experience
• Effective client contact abilities at all levels
• Interpersonal skills and the capacity to interact effectively in a professional setting
• Consistent with our beliefs and values
• Initiative/leadership experience in projects or events
• Solid understanding of LinkedIn, Naukri, IIM platforms.

Position: Sr SDET

Experience: 5 years

Location: Pune (Amar tech park)

Mode: 5 days a week from office

What’s the role?

We are looking for a Senior SDET to contribute to the design and building of our software offerings. Our engineering team works with .NET in an Agile environment. We use Azure DevOps Pipelines and Release. The definition of 'DONE' includes writing automated tests so our full regression on releases will effortless. We strive to do thing right and not just band-aid the problems. Our management is engaged and looking for feedback on how we can become better, iteratively.

You will have the opportunity to…

• Participate in story refinement sessions to ensure the details and dependencies are well 
• defined & understood with considerations for testing
• Collaborate with Product Owner and Developers as a team to deliver quality
• Writing and maintaining tests cases, executing, and perform ad-hoc testing with the end-user 
• experience in mind
• Automate test cases based on priority before the close of the sprint
• Participate in code review to ensure commits are up to standards
• Monitor the Azure Release for regression bugs and or issues with environments
• Work with geo-distributed teams to coordinate testing of features
• Be vocal during Retrospective meetings and follow up on process improvements
• Managing quality and bugs reports in all stages of releases

Our ideal candidate will have…

• 5+ years of experience as an SDET
• 3+ years of experience with Selenium WebDriver and Grid
• 2+ years of experience of testing web API through code
• Strong experience of OOP design with C# programming skill
• Ability to write complex SQL queries for data validation
• Knowledge of test methodologies and their corresponding tools
• Ability to recognize errors and assess risks within applications and or processes
• Working knowledge with Visual Studio 2016+ and Git
• 1+ year of experience with of CI/CD pipelines
• An understanding of the ROI and risk for ah-hoc testing, test automation, code coverage and 
• feature coverage
• A passion for design, development, and quality.

As a Node.js Developer at Primathon Technology, you will be responsible for designing, developing, and maintaining server-side applications using Node.js. You will collaborate with cross-functional teams to implement new features, optimize existing functionality, and ensure the best possible performance, security, and user experience. Key Responsibilities:

1. Develop and maintain server-side applications using Node.js, ensuring optimal performance and scalability.

2. Collaborate with front-end developers, designers, and other stakeholders to implement new features and enhance existing functionality.

3. Write clean, maintainable, and efficient code while adhering to coding standards and best practices.

4. Participate in code reviews to ensure code quality and consistency within the development team.

5. Troubleshoot and debug issues across the application stack, identifying and resolving performance bottlenecks and other challenges. 6. Implement security and data protection measures, ensuring the application's compliance with industry standards.

7. Optimize applications for maximum speed and scalability. Qualifications and Skills:

1. Bachelor's degree in Computer Science, Engineering, or a related field.

2. Minimum of 2 years of professional experience as a Node.js Developer

. 3. Proficient in server-side JavaScript programming using Node.js.

4. Strong understanding of asynchronous programming, including Promises and async/await.

5. Experience with RESTful API development and integration.

6. Familiarity with front-end technologies such as HTML, CSS, and JavaScript frameworks (e.g., React, Angular, Vue) is a plus.

7. Knowledge of database systems (e.g., MongoDB, MySQL, PostgreSQL) and data modeling.

8. Experience with version control systems (e.g., Git) and collaborative development workflows.

9. Good understanding of software development lifecycle (SDLC) and agile methodologies.

10. Strong problem-solving skills and attention to detail

• Evaluate customers skills, needs and build productive long lasting relationships
• Meet personal and team sales targets
• Research accounts and generate or follow through sales leads
• Attend meeting, sales events and trainings to keep abreast of the latest developments
• Must have experience in sales
• Ability to achieve monthly targets
• Will have to sell banking products like loans and swipe machines
• Must be having two wheeler license and a two wheeler
• Must be a graduate.