Reads like an AI Engineer role: building products on existing AI models.
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Design and implement solutions using Large Language Models
Own end-to-end generative AI solutions from design to maintenance
Research the latest developments in generative AI and LLMs
Build and maintain code libraries, tools and frameworks for GenAI work
Review code and keep code quality high
Design and implement advanced solutions utilizing Large Language Models (LLMs).
Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
Conduct research and stay informed about the latest developments in generative AI and LLMs.
Develop and maintain code libraries, tools, and frameworks to support generative AI development.
Participate in code reviews and contribute to maintaining high code quality standards.
Generative AI:- Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
Open 4 monthsWe first saw this posting 128 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 128
Up longer than most. Similar jobs usually come down between day 4 and day 77.
Well past Fractal’s usual: its jobs come down by about day 45.
From 51 similar postings that came down, and 28 of Fractal’s. Coming down is not always a hire.
28 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
We're committed to bringing passion and customer focus to the business. *Hands-on Python skills and Core GenAI Skills are mandatory and will be evaluated during the interviews* Job Description:
- Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. - Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git. EDUCATION:
- Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. - Generative AI:- Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. - Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
- Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. - Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. - Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.
- Generative AI:- Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. - Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. - Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
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Yes. We’ve followed 2 other Data Scientist/ Senior Data Scientist- NLP GenAI jobs there since May 2026. One came down after 15 days. One is still up.
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
*Hands-on Python skills and Core GenAI Skills are mandatory and will be evaluated during the interviews*
Job Description:
Technical Skills:
EDUCATION:
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
India: HiringsupportIndia@fractal.ai
Outside India: HiringsupportROW@fractal.ai
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Bengaluru
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