Machine Learning (ML)
Deep LearningJob 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
Shubham Vishwakarma
Full Stack Developer - Averlon
About Impacto Digifin Technologies
About
Impacto Digifin Technologies empowers businesses to embrace digital transformation with intelligent, AI-driven solutions. Our platforms simplify document management, data verification, and compliance processes, reducing manual effort, enhancing accuracy, and accelerating results. From fast-growing fintechs to established enterprises, our solutions are designed to adapt to unique operational needs, whether it’s streamlining customer onboarding, automating back-office workflows, or eliminating paperwork bottlenecks.
What sets Impacto Digifin apart is our hybrid approach—leveraging automation for speed while maintaining human oversight where it matters most. This ensures efficiency without compromising trust, enabling organizations to operate with clarity and control. More than just a technology provider, we act as a digital partner, helping teams scale smarter, optimize processes, and transform their operations with confidence.
Candid answers by the company
Impacto Digifin Technologies provides AI-powered solutions that streamline document management, data verification, and compliance for businesses.
Connect with the team
Company social profiles
Similar jobs
PHP
JavascriptSoftware Engineer
Position Responsibilities
You will primarily execute within defined frameworks and grow your independent scope over time. The following reflects what you will own and contribute to:
Build & Integrate
- Build and maintain AI-enabled workflows, platform integrations, and internal tools using PHP, JavaScript, Workato, and Web Services
- Develop prototypes and proofs of concept; contribute to production deployments under senior guidance
- Implement and test integrations between Deltek's support platforms and internal data systems.
Analyse & Solve
- Break down defined problems into actionable tasks; identify risks, dependencies, and edge cases before they surface in production
- Troubleshoot complex issues across the full stack and document root cause findings clearly
- Investigate stakeholder-reported issues to identify whether the problem is technical, process-related, or both.
Operate & Improve
- Follow established governance, architecture, and deployment processes; raise improvement suggestions through proper channels
- Write and maintain documentation for systems, workflows, business rules, and solution designs
- Participate actively in sprint ceremonies; manage your own tasks and flag blockers early
- Demonstrate continuous learning in AI, automation, and integration technologies — this space moves fast and curiosity is part of the job.
Nice-to-Have Skills
The following are not required for the role, but candidates with depth in any of these areas will stand out. Listed in rough order of relevance to this team's current work:
Oracle Service Cloud
Workato / iPaaS
Salesforce
Gainsight
AI / LLM integration
Snowflake
Microsoft Power BI
Microsoft Power Apps
Cloud-native development
Experience with AI tools (GitHub Copilot, LLM APIs, automation agents) used in an operational or product context — not just personal experimentation — is a genuine plus for this team.
Qualifications
- Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline. Equivalent practical experience considered.
- Experience: 2–4 years of hands-on experience in software engineering, systems integration, or a closely related field. Internship and co-op experience counts if it involved real production systems.
- Coding: Demonstrable PHP and/or JavaScript experience — a portfolio, GitHub profile, or code sample you can speak to will strengthen your application.
- Collaboration model: Comfortable working remotely with distributed teams. The role requires regular overlap with US East/Central time zones (approximately 2:00 PM – 11:00 PM IST for at least part of the week).
- Language: Strong written and spoken English is essential — much of the collaboration with stakeholders and senior engineers happens asynchronously in writing.
PythonAI Engineer
LLMs, Agents & AI Services
📍 Mumbai (On-site) | Full-time | 2-4 years
About the Role:
Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.
AI is core to how we design, deliver, and scale software for our customers.
We are hiring an AI Engineer for a dedicated client engagement building a complex production AI platform, working on the AI capabilities and agentic features at the core of the product.
The mandatory requirement for this role is at least one AI feature personally shipped to production for real users, with operational ownership.
The role suits someone who thinks quickly on solutioning, can take an ambiguous problem to a working prototype in days, and has the discipline to carry it through to production with predictable economics.
You will work alongside the Senior AI Engineer and the wider pod, with ownership of parts of the AI surface area of the product.
Responsibilities:
Solutioning and POCs
Translate ambiguous customer problems into working POCs at speed.
Pick the right model, framework, and architecture, and demonstrate value early before scaling investment.
LLM Application Development
Build AI features and services using LLM APIs from OpenAI, Anthropic, Google, and self-hosted open-weight models (Llama, Qwen, Mistral).
Choose the right model per use case based on cost, latency, capability, and context-window trade-offs.
Agentic System Design
Design and implement agentic workflows using LangGraph, CrewAI, AutoGen, LlamaIndex Agents, or custom orchestration.
Cover tool use, planning, memory, and multi-step reasoning appropriate to the problem.
API and Service Development
Build production AI services and APIs using Python and FastAPI.
Handle streaming responses, async processing, structured outputs, retries, and graceful degradation when models or tools fail.
Retrieval and Tool Integration
Implement RAG pipelines with vector databases (Pinecone, Weaviate, Qdrant, pgvector, Chroma), embeddings, chunking strategies, hybrid search, and reranking.
Integrate external tools, internal APIs, and document sources through tool-calling and MCP-style patterns.
Cost Analysis and Unit Economics
Model the per-request and per-user cost of every AI feature before it ships.
Track token usage, prompt caching, batching, and model-routing strategies.
Drive measurable improvements in unit economics.
Production Hardening
Add observability and tracing (LangSmith, Langfuse, OpenTelemetry), guardrails, content safety checks, prompt injection defences, and fallback behaviour.
Prompt Engineering and Evaluation
Design, test, and iterate prompts with measured outcomes.
Build evaluation harnesses for accuracy, hallucination, latency, and cost.
Run benchmarks across models and prompt variants before locking in a design.
Requirements:
AI Feature Shipped to Production (Mandatory)
Must have personally built and shipped at least one AI feature that runs in production for real users, with operational ownership.
POCs, internal demos, and one-off scripts do not qualify.
2 to 4 Years of Professional Software or AI Engineering Experience
With at least one production AI feature owned end to end.
Strong Python Proficiency and API Development with FastAPI
Comfort with type hints, async, packaging, testing, streaming responses, and authentication.
Production-grade Python, not notebook-only code.
Hands-on Depth Across the LLM and Agent Stack
Working experience with at least two of OpenAI, Anthropic Claude, Google Gemini, or self-hosted open-weight models (vLLM, Ollama, Together, Replicate).
Working familiarity with at least one agent framework (LangGraph, CrewAI, AutoGen, LlamaIndex Agents) or hand-rolled equivalent.
Working knowledge of RAG, embeddings, and vector databases (Pinecone, Weaviate, Qdrant, pgvector, Chroma).
Solutioning Speed and POC Velocity
Demonstrated ability to move from a fuzzy problem to a working prototype in days.
Strong instinct for what to build first, what to defer, and what to throw away.
Cost Discipline for Production AI
Ability to calculate, monitor, and optimise the cost of LLM APIs, tokens, embeddings, vector store usage, and infrastructure.
Treats unit economics as a first-class concern.
AWS Familiarity
Working knowledge of EC2, S3, IAM, and at least one of Bedrock, SageMaker, or equivalent.
Comfortable in a Fast-Moving Environment
Self-directed, comfortable with ambiguity, takes ownership without being asked, and ships under shifting priorities.
Strong Written and Spoken English Communication
Able to explain trade-offs to non-AI engineers, designers, product managers, and clients in plain language.
Nice to Have
- fine-tuning or LoRA, QLoRA, PEFT exposure
- MCP server authoring
- eval framework experience (LangSmith, Promptfoo, Ragas, DeepEval)
- open-source AI contributions
- multi-modal models (vision, audio)
Python
Django
MongoDBThe requirements are as follows:
1) Familiar with the the Django REST API Framework.
2) Experience with the FAST API framework will be a plus
3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )
4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus
5) Experience with any ML library will be a plus.
6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.
7) Familiar with basic code patterns like MVC.
8) Grasp on basic data structures.
You can contact me on nine three one six one two zero one three two
NodeJS (Node.js)Who You Are:
- You’ve built scalable, production-ready APIs in fast-paced environments, and are comfortable with the challenges that come with a growing startup.
- You understand event-driven architectures and have hands-on experience building real-time applications.
- You are fully capable of taking ownership of backend systems, from designing the database schema to writing efficient, maintainable code.
- You think beyond the code: optimizing performance, scalability, and security are as important as building new features.
- You’re comfortable troubleshooting complex issues, whether that’s API bottlenecks, database performance, or production issues.
Responsibilities:
- Design, implement, and manage a NestJS backend with a modular, scalable architecture that can easily handle real-time events and communication.
- Develop and maintain WebSocket services for real-time event-driven updates and ensure seamless communication across the system.
- Integrate RabbitMQ for reliable internal messaging, handling queues and ensuring event-driven workflows are efficient and fault-tolerant.
- Implement database management strategies using MongoDB, Redis, and Elasticsearch, ensuring efficient data handling, indexing, and optimization.
- Integrate with external APIs (JSON-RPC, XML-RPC, REST) to enhance system capabilities.
- Ensure high performance of the system by optimizing database queries, implementing caching strategies using Redis, and ensuring optimal indexing and data flow.
- Implement role-based authentication and authorization mechanisms using JWT, OAuth, and RBAC patterns within NestJS.
- Follow security best practices to ensure sensitive data is protected, credentials are stored securely, and the system is resilient to common vulnerabilities.
- Work collaboratively with cross-functional teams to ensure seamless integration between different services and technologies.
Must-Have Skills:
- Strong proficiency in Node.js and NestJS with TypeScript.
- Solid experience with MongoDB, Redis, and Elasticsearch for data storage and real-time data handling.
- In-depth knowledge of WebSockets and Socket.IO in NestJS Gateways, enabling real-time communication and updates.
- Experience with RabbitMQ for message queuing and asynchronous task handling.
- Strong understanding of authentication & authorization systems using JWT, OAuth, and RBAC (Role-Based Access Control).
- Expertise in optimizing APIs, including techniques for caching, improving database performance, and reducing latency.
- Familiar with API security best practices, including secure storage of credentials, encryption, and safeguarding sensitive data.
Key Skills:
- TypeScript, NestJS, WebSockets, Socket.io
- Redis, MongoDB, Elasticsearch, RabbitMQ
- API Optimization, JWT, OAuth, RBAC
- Real-time communication, Event-driven architecture
Django
Go Programming (Golang)
Data Analytics
Ruby on Rails (ROR)
Amazon Web Services (AWS)
Ruby
PostgreSQLHey there! We are seeking a highly skilled and passionate Ruby on Rails developer to join our team. As a key member of our development team, you will be responsible for enhancing our product offerings and ensuring smooth operations and scalability of our existing infrastructure. If you have a strong foundation in RoR development, possess a knack for writing clean code, and are excited about building and scaling innovative products, we would love to hear from you.
To provide you with a brief overview of the job role, we are sharing the specific requirements that we expect from you. Please have a look:
Requirements:
- Proven experience working as a Ruby on Rails developer in a production environment.
- Strong knowledge of Ruby, Ruby on Rails framework, and PostgreSQL.
- Extensive experience with hosting and maintaining production applications on AWS, Google Cloud Platform (GCP) services.
- Solid understanding of real-time communication and experience with socket programming.
- Experience in implementing AI in real-world applications is a solid plus.
- Experience in front-end technologies, particularly Vue.js would be a plus
- Strong problem-solving skills and ability to analyze and debug complex issues.
- Experience leading a development team or mentoring junior developers.
- Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment.
- Self-motivated and able to work independently with minimal supervision.
Responsibilities:
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Architect and implement scalable solutions using RoR, PostgreSQL, and AWS.
- Develop and maintain APIs, web services, and integrations with various third-party systems.
- Lead and collaborate with a team of developers to design, develop, and maintain high-quality scalable applications.
- Recruit and provide technical leadership and guidance to developers.
- Optimise and ensure the reliability of the backend infrastructure.
- Optimise application performance and ensure the scalability and security of the software.
- Stay up-to-date and passionate about the latest technologies, trends, and best practices in software development.
- Optimize the monthly spending on cloud infrastructure.
About Foaps:
We are an innovative startup empowering restaurants to excel in the online food delivery business. Our platform aggregates all online food delivery orders into a single consolidated dashboard, improving the efficiency of order management and aiding restaurant growth. With a strong presence in the Indian market and partnerships with major delivery services like Zomato, Swiggy, Dunzo, Thrive, and magicpin, we are making a significant impact in the restaurant industry. Backed by flat6labs Bahrain, our mission is to revolutionize how restaurants conduct their online food delivery business.
For more details visit our website www.foaps.co
Why Join Foaps?:
At Foaps, we offer compelling reasons for you to join our team:
- Collaborate directly with the founders: As a part of our team, you'll have the opportunity to work closely with the founders and actively participate in the decision-making processes of our early-stage startup. Your contributions will have a direct impact on shaping the direction and success of our business.
- Stock options: We believe in recognizing and rewarding the hard work and dedication of our team members. As a valued team member, you will be eligible for stock options based on your performance and contributions. This allows you to share in the growth and success of the company.
- Performance-based salary increments: We value your efforts and believe in fostering a culture of growth. Individuals’ performance, dedication, contribution, and achievements will be acknowledged and rewarded accordingly.
- Team-oriented environment: At Foaps, we prioritize collaboration and teamwork. Our company culture is not based on hierarchy but rather on creating an environment that fits the needs and strengths of our team. We foster a supportive and inclusive atmosphere where everyone's voice is heard and contributions are valued.
- Make a difference in the Restaurant industry: Foaps is revolutionizing the online food delivery business, making it easier for restaurants to do online delivery business. By joining our team, you'll have the opportunity to contribute to this transformation and play a vital role in shaping the future of the restaurant industry.
Interested? Join us and become a vital part of our startup journey. Together, we'll build an exciting future and make a real impact.
Data SciencePythonDevelop state of the art algorithms in the fields of Computer Vision, Machine Learning and Deep Learning.
Provide software specifications and production code on time to meet project milestones Qualifications
BE or Master with 3+ years of experience
Must have Prior knowledge and experience in Image processing and Video processing • Should have knowledge of object detection and recognition
Must have experience in feature extraction, segmentation and classification of the image
Face detection, alignment, recognition, tracking & attribute recognition
Excellent Understanding and project/job experience in Machine learning, particularly in areas of Deep Learning – CNN, RNN, TENSORFLOW, KERAS etc.
Real world expertise in deep learning- applied to Computer Vision problems • Strong foundation in Mathematics
Strong development skills in Python
Must have worked upon Vision and deep learning libraries and frameworks such as Opencv, Tensorflow, Pytorch, keras
Quick learner of new technologies
Ability to work independently as well as part of a team
Knowledge of working closely with Version Control(GIT)
Python
JavaMachine Learning (ML)Amazon Web Services (AWS)Go Programming (Golang)PythonMachine Learning (ML)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon