Smallest.ai→
Forward Deployed Engineer at Smallest.ai in Bengaluru, Karnataka, IN
Skills
Job Description
Forward Deployed Engineer
Team: GTMLocation: Bangalore or Mumbai Type: Full-time Experience: 5 - 10 yrs
About Smallest.ai
http://Smallest.ai builds real-time voice intelligence systems operating at enterprise scale. We work across speech recognition, speech generation, and speech-to-speech systems with a strong focus on low latency, multilingual intelligence, and production reliability.
Our goal is simple: Smaller models. Lower latency. Higher intelligence.
About the role
We're looking for a hands-on Forward Deployed Engineer who can take http://Smallest.ai's voice AI from a working API to a production deployment inside the customer's environment.
At http://Smallest.ai, deployments are where our technology meets the real world - telephony stacks, CRMs, contact centers, and complex enterprise workflows. You'll embed with customer teams, design and build voice agents tailored to their use case, integrate with their existing systems, and own the technical success of every rollout.
If you enjoy shipping every day, owning outcomes end-to-end, and seeing your work go live on real customer calls within the same week, this role is for you.
What you'll work on
Customer Deployments
- Own end-to-end technical delivery from discovery to production
- Design solution architecture for each customer's use case
- Drive pilots, go-lives, and scale-up across thousands of concurrent calls
Voice Agent Development
- Build and tune voice agents for support, sales, collections, and recruitment use cases
- Handle prompt design, knowledge base integration, function calling, and conversation flow
- Tune for latency, accuracy, barge-in handling, and human-quality conversation
Integrations & Engineering
- Integrate http://Smallest.ai with telephony providers, CRMs, ATS, and EHR/EMR systems
- Write production Python services, webhooks, and custom tool integrations
- Debug live voice pipelines under production load
Measurement & Iteration
- Define and instrument the metrics that matter for each customer
- Run continuous improvement cycles based on real call data
- Codify recurring patterns into reusable templates and feed insights back to product
What we're looking for
- Strong, hands-on engineering experience shipping production Python
- Solid grasp of REST APIs, webhooks, websockets, and real-time systems
- Hands-on experience building applications with LLMs (prompting, RAG, tool calling, evals)
- Strong customer-facing skills, comfortable leading discovery and technical conversations
- Comfortable working independently in a fast-paced startup setup
Nice to have (big plus)
- Experience with voice AI, telephony, or contact center infrastructure (SIP, WebRTC, Twilio, etc.)
- Experience deploying AI in regulated industries (healthcare, finance, BFSI)
- Past experience as a forward deployed engineer, solutions engineer, or technical founder
- Experience taking an LLM-based agent from prototype to production at scale
Why join Smallest.ai
- Work directly with enterprise customers on real, high-stakes deployments
- High ownership and real impact - your code is on live calls within the week
- Work across the full voice AI stack speech recognition, generation, and speech-to-speech
- Learn fast, build fast, and shape how AI companies deploy at scale