AI Engineer

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) (*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 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 & VoicePipeline) 🎯 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!

Requirements

• Python
• LLM APIs
• STT/TTS tools
• Prompt Engineering

Preferred Technologies

• Python
• LLM APIs
• STT/TTS tools
• Prompt Engineering

About the company

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