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AI Applied Research Engineer

  • Engineering
  • Full-time
  • Bengaluru, IN
  • 35L - 45L INR a year

Atomicwork is an early-stage startup looking to disrupt the world of employee experience. Our team is building impactful products to facilitate collaboration between employees and internal teams like IT, HR, and Finance.

We’re looking for an experienced AI research engineer to join our team and help us build our modern service management platform. This is a hybrid position based out of our Bengaluru office. We offer competitive pay to employees and practical benefits for their whole family.

If this sounds interesting to you, read on.

Why we are different (culture)

As a part of Atomicwork, you’ll have the opportunity to shape our company and business from idea to production. Our cultural values also set the bar high, helping us create a better workplace for everyone.

  • Autonomy: We give people the space to grow and enable them to do the best work of their lives.

  • Trust: We believe in our colleagues' good intentions and approach every conversation respectfully.

  • Optimism: We strive to be positive and take on any challenge without fearing failure.

  • Mastery: We’re dedicated to continuously improving our product, business, and capabilities.

  • Impatience: We make progress with every initiative because the world doesn’t wait for anyone.

  • Curiosity: We like asking questions, learning new things, and helping each other gain new perspectives.

What we’re looking for (qualifications)

We are not big on formal qualifications, and we value hands-on skills. We also enjoy working with people looking to learn new things and have a sense of responsibility toward their work.

  • Professional Experience:

    • 3+ years of experience working as an applied scientist, research engineer, or software engineer focused on LLMs.

    • Extensive experience in fine-tuning and improving large language models and building intelligent software agents using reinforcement learning.

    • Hands-on experience developing cutting-edge multimodal AI systems for real-world applications.

  • Technical Expertise:

    • Expertise in fine-tuning large language models (LLMs) and other AI architectures to specific domains and tasks, leveraging techniques like LORA (Low-Rank Adaptation) to achieve high performance with limited data

    • Experience working with the systems engineering aspects of LLMs, such as distributed training and autoscaling inference

    • Building multimodal AI systems that can process and integrate data from multiple modalities, such as text, images, speech, and sensor inputs, to enable rich, contextual understanding

    • Strong background in reinforcement learning techniques, including deep Q-learning, policy gradients, and multi-agent frameworks, to train AI agents to make optimal decisions

  • Programming Skills: Proficient in Python, PyTorch/TensorFlow, distributed systems, and optimization techniques like LORA, DeepSpeed, and quantization

  • Big Data and Streaming: Experience with big data technologies and streaming applications.

  • API and Platform Integration: Proven ability to work with APIs and Platforms for system integration.

  • Cloud Infrastructure Knowledge: General understanding of AWS or similar public cloud infrastructure.

  • Team Collaboration: Willingness to work in a fully remote team environment.

  • Learning and Innovation: Strong curiosity and passion for learning new technologies and methodologies.

  • Nice to Have:

    • Conversational AI Experience: Prior experience in developing conversational bots.

    • Data Systems Knowledge: Experience with ETL, search, and data management systems.

What you’ll do (responsibilities)

  • Solution Development: Leverage machine learning, NLP, and deep learning on large-scale structured and unstructured data to design and implement conversational solutions.

  • Research and Development: Engage in continuous research and development to design dynamic models, conduct experiments, enhance system performance, and build scalable production systems.

What we offer (compensation and benefits)

We are big on benefits that make sense to you and your family.

  1. Fantastic team —the #1 reason why everybody joins us.

  2. Hybrid work — balance between working from the office and home.

  3. Convenient offices — well-located offices spread over five different cities.

  4. Flexible work timings — you get to decide how you want to work.

  5. Paid time off — Unlimited sick leaves and 24 days off every year.

  6. Health insurance — comprehensive health coverage for your entire family.

  7. Great hardware — premium Apple hardware to help you do your best work.

  8. Flexible allowances — with hassle-free reimbursements across spends.

  9. Team events — we cover team meet-ups and celebrations for milestones.

  10. Annual outings — for everyone to have fun together.

What next (applying for this role)

  1. Click on the apply button to get started with your application.

  2. Answer a few questions about yourself and your work.

  3. Wait to hear from us about the next steps.

Do you have anything else to tell us? Email and let us know what’s on your mind.

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