Senior AI Engineer

Zingly.ai; Bengaluru; Remote; INR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Impactful work in a small team

Opportunity to shape product and culture

Work in an exciting space of AI

Job summary

A cutting-edge AI startup is looking for an ML/AI Engineer to develop innovative VoiceAI applications. You will be responsible for building scalable AI systems, working closely with teams to enhance conversational interactions. The ideal candidate has 5–8 years in ML engineering, a strong focus on VoiceAI, and excellent skills in Python and MLOps. Join us and shape the future of human-brand relationships.

Qualifications

• 5–8 years as an ML/AI engineer focusing on VoiceAI.
• Proven track record of deploying ML models in production.
• Hands-on experience with open-source large language models.
• You care about making interactions sound natural, empathetic, and human-like.
• Proactive and curious with latency and accuracy challenges.
• Team player across AI, product, and engineering to ship real-world experiences.
• Deliver production systems that handle messy, human speech.
• Bold and innovative, not afraid to challenge the status quo respectfully.
• A natural leader, raising the bar for yourself and teammates.

Responsibilities

• Build voice AI applications for real-time conversations.
• Architect scalable AI pipelines integrating multiple technologies.
• Develop domain-specific language models and conversational agents.
• Develop role-specific conversational agents for sales, support, and interactive reps.
• Build APIs and tools that make VoiceAI plug-and-play for clients.
• Ensure robustness: guardrail voice models against errors, fraud, and adversarial input.
• Build & secure GenAI models: design, train, fine-tune, evaluate and guardrail LLMs for real-world, high-stakes use.
• Architect, build, and deploy scalable AI modules that plug into Zingly’s proprietary platform.
• Create interfaces that let clients spin up new GenAI experiences in record time.
• Lead the design and development of domain-specific LLMs tuned for industry roles and use cases.
• Push the boundaries of real-time conversational AI with scalable, production-ready systems.

Skills

VoiceAI development

Speech recognition

Natural language understanding

MLOps

Python programming

Java debugging

Tools

AWS

Kafka

AWS

MLOps

REST APIs

Kafka

Job description

Get AI-powered advice on this job and more exclusive features.

Help us reinvent conversations between people and brands.

At Zingly, we’re not just building another chatbot—we’re building relationship tech. As a fast-moving, post-seed, pre-Series A startup, our mission is to change how billions of people interact with brands: more authentic, more transparent, and way more human.

We’re a passionate, ambitious, globally distributed team that loves bold ideas, healthy debates, and shipping fast. We put people first, both in the product we’re building and the culture we’re creating. If you’re ready to apply your AI skills to reimagine how conversations happen at scale—this is your stage.

This role requires 3–4 hours overlap with PST and strong, consistent communication with teammates (in English).

Opportunities for Impact

• Advance VoiceAI at scale: build voice AI applications for real-time conversations.
• Lead efforts in speech NLU and Voice AI integration for multi-lingual, real-world settings.
• Architect scalable GenAI pipelines that combine STT, LLMs, and TTS.
• Develop role-specific conversational agents for sales, support, and interactive reps.
• Build APIs and tools that make VoiceAI plug-and-play for clients.
• Ensure robustness: guardrail voice models against errors, fraud, and adversarial input.
• Build & secure GenAI models: design, train, fine-tune, evaluate and guardrail LLMs for real-world, high-stakes use.
• Architect, build, and deploy scalable AI modules that plug into Zingly’s proprietary platform.
• Create interfaces that let clients spin up new GenAI experiences in record time.
• Lead the design and development of domain-specific LLMs tuned for industry roles and use cases.
• Push the boundaries of real-time conversational AI with scalable, production-ready systems.

About You

• A builder who ships fast and doesn’t shy away from tough problems.
• Startup-minded: resourceful, flexible, and comfortable with ambiguity.
• You’ve got a VoiceAI-first mindset, speech recognition and natural conversation are your playground.
• You care about making interactions sound natural, empathetic, and human-like.
• You’re proactive, curious, and love solving tricky problems around latency and accuracy.
• You’re a team player who can work across AI, product, and engineering to ship real-world experiences.
• You don’t just build models, you deliver production systems that handle messy, human speech.
• Proactive, you see what’s coming before it arrives.
• Bold and innovative, not afraid to challenge the status quo (respectfully).
• A natural leader, raising the bar for yourself and your teammates.

Preferred Experience

• 5–8 years as an ML/AI engineer, with a strong focus on VoiceAI or conversational systems.
• Proven track record of taking ML models from prototype to production impact.
• Hands‑on with open-source LLMs (training, fine‑tuning, guard‑railing).
• Strong background in real‑time AI.
• Deep experience in MLOps and the AWS ecosystem.
• Expert in Python, with strong Java debugging skills.
• Strong CS fundamentals: algorithms, data structures, distributed systems.
• Experience with REST APIs and stream‑processing systems (Kafka, etc.).
• Knowledge of modern ML tooling, pipelines, and deployment best practices.

Nice to Haves

• MLOps DevOps exposure (CI/CD for ML).
• Prior startup experience (we move fast).
• B2B or SaaS product experience.

Why Zingly?

• Small team = huge impact. Every line of code you write matters.
• We’re at an early stage—you’ll shape both the product and the culture.
• We’re tackling one of the most exciting spaces in AI: human + brand relationships.
• You’ll work with a team that values ambition, creativity, and balance in equal measure.

If you’re ready to push the limits of GenAI in the wild, apply today. We’d love to welcome you to the Z! Team.