AI Engineer (LLM & Voice Pipeline)

About the job

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) 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 experience integrating with LLM APIs (OpenAI, and fallback orchestration., Anthropic...), Azure). • context control, Coqui, ElevenLabs, Experience with prompt engineering, Familiarity with STT/TTS tools (e.g. Whisper, GOOGLE, Session State, Solid Python skills, Trace, You know how to log, You’ve shipped or maintained a product that uses LLMs in production. 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 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. 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!

Requirements

• LLM Integration
• Python
• AI Pipeline Management

Preferred Technologies

• LLM Integration
• Python
• AI Pipeline Management

About the company

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