ML Engineer (LLM & Voice Pipeline)

Experience: 2.00 + years

Salary: Confidential (based on experience)

Expected Notice Period: 15 Days

Shift: (GMT+04:00) Asia/Dubai (GST)

Opportunity Type: Remote

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:

Job Description – 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, ElevenLabs, Coqui, Google, Azure).
• Experience WITH_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, TruLens, 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 Role Is 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.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!