ML Engineer (LLM & Voice Pipeline)

Shift: GMT 04:00 Asia/Dubai GST

Placement Type: Full Time Permanent position Payroll and Compliance to be managed by: ADNA Note: This is a requirement for one of Uplers client - ADNA What do you need for this opportunity Must have skills required: Helix, live traffic shadowing, Managed golden sets, or prompt regression testing., Ragas or built custom eval tooling., Set up CI for prompt evaluation or had a hand in LLMOps pipelines., Trulens, Used Langfuse, Worked with latency - sensitive systems real - time or streaming pipelines ., and debug model behavior like it s backend logic., and fallback orchestration., Anthropic... , context control, Experience with prompt engineering, Familiarity with STT/TTS tools e.g. Whisper, Session State, Solid Python skills ADNA is Looking for: AI Engineer LLM Voice Pipeline What You ll Do You ll be responsible for making sure our AI brains work, scale, and improve. That means: - Owning the full AI pipeline orchestration: STT - LLM - TTS. - Implementing and monitoring prompt flows, fallback strategies, and recovery logic. - Measuring and improving conversational quality: latency, hallucination, success rate, barge - in. - Building test sets, running A/B experiments, catching regressions before users do. - Working closely WITH REPLACED the Tech Lead and Voice UX designer to align model behavior WITH REPLACED real - world conversations. What You Bring - Solid Python skills, and experience integrating WITH REPLACED LLM APIs OpenAI, Anthropic... - You ve shipped or maintained a product that uses LLMs in production. - Familiarity WITH REPLACED STT/TTS tools e.g. Whisper, Eleven

Labs, Coqui, Google, Azure . - ExperienceWITH REPLACED prompt engineering, context control, session state, and fallback orchestration. - You know how to log, trace, and debug model behavior like it s backend logic.

Bonus

Points If You ve - Used Langfuse, Tru

Lens, Helix, Ragas or built custom eval tooling. - Worked WITH REPLACED latency - sensitive systems real - time or streaming pipelines . - Set up CI for prompt evaluation or had a hand in LLMOps pipelines. - Managed golden sets, live traffic shadowing, or prompt regression testing. What You ll Get - Ownership over AI behavior and quality across the entire product. - A team that values pragmatism, iteration, and clean architecture. - Input into how our agents sound, think, and adapt over time. - The chance to shape an AI system that actually talks to people and gets judged on every sentence. What This RoleIs Not - It s not prompt monkey work or make it sound nicer QA tasks. - It s not about training foundation models or tuning a llama from scratch. - It s not a research role. This is for someone who wants to ship LLM - powered voice agents that hold up under real - world load and get better over time. How to apply for this opportunity - Step 1: Click On Apply And Register or Login on our portal. - Step 2: Complete the Screening Form Upload updated Resume - Step 3: Increase your chances to get shortlisted meet the client for the Interview About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.