Agentic AI Engineer

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. AI Engineer/Data Scientist

Responsibilities

• Design and implement generative AI solutions using Python and FastAPI, deployed on Azure (CPU & GPU).
• Develop and optimize RESTful APIs for Gen AI applications with seamless integration into business systems.
• Apply prompt engineering techniques to enhance interactions with LLMs for solving business challenges.
• Build scalable data pipelines for generative AI use cases on GCP.
• Create reusable tools and processes to streamline Gen AI workflows.
• Deliver high-quality, production-ready code aligned with business objectives and cloud architecture best practices.
• Collaborate with stakeholders and manage project timelines effectively.
• Stay updated on advancements in generative AI, prompt engineering, and Python/FastAPI.
• Contribute to LLM research, including pretraining, finetuning, and dataset development.

Requirements

• 8+ years of experience in AI/ML or software engineering with Python and FastAPI and NLP
• A strong understanding and good experience working on Agentic AI.
• Proven expertise in developing production-grade Python applications and RESTful APIs.
• Hands-on experience with LLMs (e.g., OpenAI, HuggingFace) and prompt engineering.
• Strong understanding of NLP and data processing techniques.
• Experience with GCP services (e.g., Vertex AI, Cloud Functions, BigQuery) and Azure is a plus.
• Familiarity with LLM libraries such as Transformers, TRL, DeepSpeed, or PyTorch.
• Experience with Kubernetes and Docker for scalable deployments.
• Excellent communication and collaboration skills.
• Experience in LLM pretraining, finetuning, and model alignment

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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