Generative AI Engineer

About ProcDNA:

ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA.

What we are looking for:

We are looking for Generative AI Developer to join our team of innovative and passionate developers who are creating cutting-edge AI solutions for various domains and challenges.

What you'll do:

• Good/Basic understanding of full stack development (Python/ MERN stack) and cloud technologies such as Azure and AWS. (important)

• DevOPS on cloud and good experience in using services such as Git, Terraform and others.

• Develop, test, and deploy AI models using state-of-the-art LLMs, Hugging face LLMs and others and libraries such as Llama index, and Lang chain.

• Create custom AI models to address unique challenges and improve existing processes.

• Optimize and fine-tune AI models for performance, accuracy, and scalability.

• Apply knowledge of Retrieval-Augmented Generation (RAG) and related methodologies to develop sophisticated AI solutions.

• Collaborate with cross-functional teams to understand requirements and deliver AI-powered features and enhancements.

• Stay abreast of the latest developments in AI, machine learning, and related fields to innovate and improve our offerings continuously.

Must have:

• Bachelor's degree or higher in Computer Science, Engineering, or related field.

• 6 - 11 years of experience in AI development, with a strong focus on generative models, NLP, and image processing.

• Experience in Pharma/Healthcare/Lifesciences Domain is a preferred

• Proficient in Python and other programming languages for AI development.

• Solid understanding of machine learning concepts, data processing, feature extraction, text

summarization, and image processing techniques

• Familiarity with Retrieval-Augmented Generation (RAG) and other cutting-edge AI processes.

• Proven experience with OpenAI models, including but not limited to GPT (Generative Pre-trained

Transformer), and the ability to develop custom models.

• Experience in working with large-scale datasets and cloud platforms.

• Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.

• Strong communication skills and the ability to work collaboratively with a diverse team.