# Research Engineer

> Weekday AI · India (Remote) · Full-time · Posted 2026-08-07

**Salary:** INR 1,500,000–2,500,000

**Workplace:** remote

**Department:** Weekday's Client via platform

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

**𝗦𝗮𝗹𝗮𝗿𝘆 𝗥𝗮𝗻𝗴𝗲: ₹15,00,000 – ₹25,00,000 (i.e., INR 15–25 LPA)**

Experience: 1+ yrs

Location: India

Job Type: Full-time

We are looking for a highly motivated and technically strong **Research Engineer** with **1–4 years of experience** to join our AI/ML team and work on next-generation **voice agent technologies**. The ideal candidate will have a strong foundation in machine learning, deep learning, natural language processing, and speech technologies, along with a passion for researching and building intelligent conversational systems.

You will work at the intersection of **AI research and engineering**, transforming emerging techniques into reliable, scalable, and production-ready voice experiences. This role involves experimentation, prototyping, model evaluation, optimization, and hands-on development of AI-powered voice agents.

## Requirements

### Key Responsibilities

-   Research, prototype, and develop **AI/ML models and systems** for conversational and voice-based applications.
-   Design and build intelligent **voice agents** capable of understanding user intent, maintaining conversational context, and generating natural responses.
-   Work with **speech-to-text (STT), text-to-speech (TTS), natural language understanding (NLU), and large language models (LLMs)** to develop end-to-end voice experiences.
-   Experiment with different ML architectures, prompting strategies, model configurations, and agentic workflows to improve accuracy, latency, and conversational quality.
-   Develop and evaluate prototypes using Python and modern AI/ML frameworks.
-   Research emerging developments in **Generative AI, conversational AI, speech AI, multimodal models, and agent architectures** and identify opportunities for practical implementation.
-   Create evaluation frameworks, benchmarks, and experiments to measure model and voice-agent performance.
-   Analyze model outputs, identify failure modes, and develop techniques to improve robustness, relevance, and response quality.
-   Collaborate with software engineers, product teams, and researchers to transition successful experiments into production systems.
-   Optimize AI/ML pipelines for scalability, inference performance, reliability, and real-time voice interaction.
-   Document research findings, technical approaches, experiments, and results.

### Must-Have Skills

-   **1–4 years of hands-on experience** in AI/ML, machine learning engineering, research engineering, or a related field.
-   Strong programming skills in **Python** and familiarity with AI/ML development workflows.
-   Solid understanding of **machine learning and deep learning concepts**, including model training, evaluation, optimization, and inference.
-   Hands-on exposure to **LLMs, Generative AI, NLP, or conversational AI**.
-   Strong understanding of **voice agent architectures** and conversational AI pipelines.
-   Familiarity with **speech-to-text (STT), text-to-speech (TTS), speech processing, and voice interaction systems**.
-   Experience working with frameworks and libraries such as **PyTorch, TensorFlow, Hugging Face, Transformers, or similar technologies**.
-   Ability to design experiments, analyze results, troubleshoot model behavior, and iterate rapidly.
-   Strong problem-solving and analytical skills with an ability to work on ambiguous research problems.

### Good-to-Have Skills

-   Experience building or deploying **real-time voice agents**.
-   Knowledge of **RAG, vector databases, embeddings, function calling, tool use, and agentic workflows**.
-   Familiarity with speech models, audio processing, diarization, wake-word detection, or speech enhancement.
-   Experience with APIs and cloud platforms such as **AWS, GCP, or Azure**.
-   Knowledge of model serving, inference optimization, quantization, or low-latency AI systems.
-   Exposure to open-source LLMs and speech models.

### Education

Bachelor’s or Master’s degree in **Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering**, or a related technical field.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/D2467B614C/apply)

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