Forward Deployed Engineer

4 days ago

Noida, Uttar Pradesh, India Unpod Full time ₹ 5,00,000 - ₹ 15,00,000 per year

We're looking for a Forward Deployed Engineer (Fresher) who's passionate about AI, ML, and voice technology. This role bridges engineering, deployment, and client collaboration. You'll help implement AI-driven solutions, optimise performance, and work hands-on with Unpod. AI's core systems. You'll work closely with our AI and infrastructure teams to deploy and customise real-time conversational AI systems, experiment with prompt engineering, and enhance AI voice orchestration experiences.

Responsibilities

  • Collaborate with engineering and product teams to design and deploy AI-powered voice applications.
  • Build and optimise machine learning pipelines using Python and modern ML frameworks.
  • Experiment with prompt engineering to improve accuracy and contextual understanding in conversational AI.
  • Support client deployments by customising AI/ML models for production use.
  • Troubleshoot, debug, and continuously enhance deployed solutions.

Requirements

  • Proficiency in Python and hands-on experience with AI/ML libraries (TensorFlow, PyTorch, scikit-learn, etc. ).
  • Understanding of Large Language Models (LLMs) and prompt engineering.
  • Basic knowledge of cloud services, APIs, or real-time data systems.
  • Familiarity with STT (Speech-to-Text) and TTS (Text-to-Speech) frameworks is a plus.
  • Strong analytical mindset and problem-solving skills.
  • Excellent communication and collaboration abilities.

Preferred Qualifications

  • Bachelor's degree in Computer Science, AI/ML, Data Science, or experience in related fields.
  • Projects or internship experience involving AI/ML models, LLMs, or voice applications.
  • Prompt Engineering, Context Engineering and Evals understanding is a must requirement.
  • Familiarity with telephony protocols (SIP, WebRTC) is a bonus.

This job was posted by Neha Chauhan from Unpod.

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