Senior Software Engineer (Platform — Backend / AI/ML / Integrations)

2 months ago

Hyderābād, IndiaSenior

Responsibilities

Build Go services on an event bus and develop high-throughput transactional data models and WebSocket backends.
Own backend and core platform services, AI/ML pipelines, or connector frameworks depending on specialization track.
Develop AI/ML capabilities including RAG, streaming inference, model serving, and evaluation workflows.
Build integrations with CCaaS/CTI platforms, CRM systems, and SIP/RTP-based telephony systems.
Design and operate event-driven, high-throughput, low-latency real-time services and fault-tolerant connectors.
Prototype, debug, ship production software, and meet committed delivery timelines in one-week sprint cycles.

At least 7 years of backend software engineering experience.
High proficiency in Go, with production Go experience at scale; proficiency is mandatory and tested.
Experience with at least three programming languages across a career, including medium-strength Python or another scriptable language.
Production experience with event-driven systems such as NATS, Kafka, or Redpanda, plus heavy WebSocket and real-time systems experience.
Hands-on AI experience building with LLM APIs, embeddings, RAG, model serving, training, or evaluation rather than only using chatbots.
Strong debugging, distributed-systems, low-latency, and high-throughput engineering skills.
Ability to work effectively in a fast-moving startup-style environment, learn new technologies, and deliver working software quickly.
Preferred experience with GCP, data or knowledge graphs, AI/ML models, voice technologies, SIP/RTP/SIPREC, CCaaS/CTI, or desktop-adjacent systems.
For integrations work, experience with platforms such as Genesys, Amazon Connect, NICE, or Five9 is preferred.

Fully remote, full-time opportunity.
Startup-style innovation environment backed by TTEC’s enterprise scale and customer base.
One-week sprints, Friday demos, rapid prototyping, and opportunities to work across multiple specialization tracks.

1,001-5,000 employees