Full-Time
Lead Software Engineer
Machine Learning
Posted on 10/31/2025
ASAPP
201-500 employees
SaaS AI agents for customer service
No salary listed
Bengaluru, Karnataka, India
Hybrid
Requires 12 in-office days per month; preference for candidates near Bengaluru office.
 AI & Machine Learning (2) |
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- A Bachelor’s Degree in a field of science, technology, engineering or math, or equivalent hands-on experience
- Production experience with Python, AWS, Kubernetes, and/or Docker
- Proven skill at debugging complicated systems and writing solid test cases to ensure their stability
- Experience implementing technical solutions, tackling tough engineering problems to help build our products
- Desire to learn new things, work closely with peers from different teams, and open to teach and learn from others
- Passion for Machine Learning and solving problems
- Help us turn research into meaningful ML products that help tens of millions of users
- Improve existing ML models: everything from tweaking the dataset to replacing the entire solution with a whole new method
- Assess the risks and merits of different approaches to solving complex problems in the light of the specific requirements and time frame
- Actively work on creating and improving tools to parallelize model training, unifying dataset creation and accuracy measurements across experiments
- Closely monitor the edge cases of model performance and taking active measures of explaining the reasons and possible approaches for diminishing undesirable effects
- Be actively involved in the process of productizing research experiments into enterprise-ready AI solutions
- Encourage and participate in open collaboration within the ML team and across functions, driving best practices, sharing AI/ML advancements and joint problem-solving.
- Production experience with Machine Learning and/or Natural Language Processing
- Experience in deep-learning frameworks like PyTorch and TensorFlow
- Knowledge of additional languages such as SQL, Go, Javascript, or Typescript are not necessary but will help you work in cross-functional teams
- Experience using Athena and Redshift
ASAPP provides software-as-a-service AI tools to boost customer service. Its main offering is a fully conversational AI voice and chat agent that can transcribe calls, automate call summaries, and generate automated responses to help agents. The product works by running an AI-powered agent in customer service conversations, delivering real-time or post-call transcription, producing summaries, and suggesting or sending automated replies, with the entire system delivered through a scalable subscription model. The company differentiates itself by serving high-volume call centers and service-focused enterprises with an emphasis on efficiency and data-driven insights, backed by ongoing software updates and a suite of productivity tools. Its goal is to improve human performance in customer service, reducing costs, speeding resolutions, and increasing customer satisfaction through AI-assisted processes.
Company Size
201-500
Company Stage
Series C
Total Funding
$380M
Headquarters
New York City, New York
Founded
2014
Simplify's Take
What believers are saying
- AWS Generative AI Competency achieved April 22, 2025, boosts enterprise adoption.
- Neudesic partnership March 25, 2025, expands to travel, retail, telecom sectors.
- Snowflake CEO Frank Slootman joined board, scaling AI CX solutions.
What critics are saying
- California wiretapping class action triggers damages and compliance overhauls.
- Hyperscalers AWS, Google integrate native AI agents, cannibalizing subscriptions.
- AI hallucination failures in financial interactions cause customer churn.
What makes ASAPP unique
- GenerativeAgent autonomously resolves complex interactions using interaction intelligence.
- AI-native CXP orchestrates agents, humans, and systems for enterprise CX.
- CoachingAI automates 100% quality assurance, prioritizing agent coaching.
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Benefits
Learning & Development
Comprehensive Health Benefits
Daily Catered Meals
Vacation
401K Program
Family Leave
Growth & Insights and Company News
6 month growth
↑ 2%1 year growth
↑ 2%2 year growth
↑ 2%What's after conversational AI: AI for CX dec 2025. What comes after conversational AI. Working in the world of AI in CX, there's a certain level of excitement that coexists with an equal dose of frustration. The excitement comes from new technology that can fundamentally change how companies interact with customers. The frustration comes from the pace of change. Just a minute ago, ASAPP, Inc were chasing productivity gains and conversational AI. Now, ASAPP, Inc is talking about the agentic enterprise. But what hasn't changed are the fundamentals - what extraordinary customer experiences should feel like. Truly personalized, even at scale, not just a swap of your first name in a newsletter (yes, I know ASAPP, Inc do it too). Easy and proactive, instead of being passed from agent to agent, answering the same question again and again. Consistent, so no matter the channel, the experience feels the same. In this issue, ASAPP, Inc dig into what you need to equip your organization to deliver genuine personal service at scale - something that old tools and point solutions could never quite achieve. And where the industry is going from conversational AI to multi-agent collaboration. You'll also find a roundup of how 10 CX leaders are thinking about customer experience in 2026 and beyond. One more thing: ASAPP, Inc has updated its Essential Guide to AI Customer Service Agents and launched a new Agentic Minute video series, with short, snackable videos covering key ideas behind the agentic enterprise. Take a minute and learn the core concepts with ASAPP, Inc. Genuine personal service, at scale. Personal service has always broken down at scale. Agentic CX changes that by giving AI agents memory, context, and the ability to act across systems, so every interaction builds on the last. Learn how agentic CX makes truly personal service possible for every customer, not just a few. Agentic CX isn't just a new capability. It is a new operating model for customer experience. As AI agents move from assisting to acting, CX leaders will need to rethink tools, workflows, and readiness across the organization. Explore what the future of agentic CX looks like and what it takes to prepare for it. What CX and AI leaders see coming next. As customer experience enters its next phase, the questions are shifting from experimentation to execution. ASAPP, Inc asked 10 leaders what they see coming in 2026 and beyond - from trust and personalization to the role of humans in an increasingly agentic world. Read their takes on where CX is headed next. Fundamentals of AI agents and the agentic enterprise. If you're still forming a mental model of AI agents and the agentic enterprise, these resources are a great place to start. Recently updated with terms related to agentic enterprise, its Essential Guide to AI Customer Service Agents breaks down what AI agents are, how they work, and where they deliver real impact. And in its new Agentic Minute video series, ASAPP, Inc explore key concepts in short, practical episodes - starting with a clear explanation of what an agentic enterprise is and how teams of AI agents operate across enterprise CX systems. Follow along on LinkedIn and YouTube as ASAPP, Inc release new episodes over the coming weeks. "Over the course of the next several years, generative AI applied to CX will rapidly shift from experiment to scaled outcomes that completely reshape how consumers interact with the companies in which they choose to do business." What ASAPP, Inc is reading. Theresa Liao leads initiatives to shape content and design at ASAPP. With over 15 years of experience managing digital marketing and design projects, she works closely with cross-functional teams to create content that helps enterprise clients transform their customer experience using generative AI. Theresa is committed to bridging the gap between complex knowledge and accessible digital information, drawing on her experience collaborating with researchers to make technical concepts clear and actionable.
NEW YORK, July 16, 2025 (GLOBE NEWSWIRE) - ASAPP, the leading provider of AI-powered contact center software, today announced the availability of its GenerativeAgent Platform in the new AI Agents and Tools storefront in AWS Marketplace.
Ahdoot Wolfson attorneys are investigating a potential class action lawsuit against ASAPP, Inc. for their potential violation of California data privacy laws.
In-depth Amazon coverage from the tech giant’s hometown, including e-commerce, AWS, Amazon Prime, Alexa, logistics, devices, and more.Amazon CEO Andy Jassy teased ahead to today’s announcement when he unveiled Amazon’s Nova initiative in December at AWS re:Invent in Las Vegas. (GeekWire Photo / Todd Bishop)What happens when the AI senses the frustration or joy in your voice?A new speech-to-speech AI model from Amazon, called Nova Sonic, unifies speech recognition and generation to deliver more natural voice interactions — part of the Seattle tech giant’s broader effort to develop human-like intelligence in competition with Google, OpenAI, and others.Among other advances, Amazon says Nova Sonic picks up on tone of voice, adapting to the style and emotions of users. An angry customer on a support call might hear a calm, steady voice in return, while someone sounding excited could get a more upbeat response.“I think of intelligence as inseparable from context,” said Rohit Prasad, Amazon’s senior vice president of artificial general intelligence, who leads a central team working on the company’s most advanced AI technology.“If you’re excited about Hawaii, it will be excited about it,” he explained, as an example. “If you’re not, then it will suggest a separate destination.”Nova Sonic will be available to third-party developers through Amazon’s Bedrock service. Amazon is already using components of the model internally, in products including its newly released Alexa+ voice assistant.Unlike traditional voice systems that stitch together separate models for speech recognition, language processing, and text-to-speech, Nova Sonic combines all three in a single architecture, according to the company.Amazon says this integration allows the model to preserve the full context of a conversation — including intonation, pacing, and intent — making interactions feel more conversational and responsive.It can also take action in the middle of a conversation, like pulling up flight options or checking an account, without breaking the flow of the interaction.Amazon is making Nova Sonic available via a new streaming API built for real-time voice applications. It currently supports English with a few different voices and accents
ASAPP named a Leader in Digital Customer Interaction Solutions by top independent research firm.