Application Developer

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.
• 4+years of experience in AI development, with a strong focus on generative models, NLP, and image
  
  

processing.

• 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.
  
  

Skills: generative ai,retrieval-augmented generation (rag),hugging face llms,llama,devops,machine learning concepts,state-of-the-art llms,langchain,llama index,large language model,llm,feature extraction,mern stack,data processing,generative ai development,azure,nlp,backend,rag architecture,python,full stack development,javascript frameworks,lang chain,git,text summarization,open ai,cloud technologies,terraform,react,java,image processing,aws