Job Description:

As a Generative AI Engineer, you will be at the forefront of artificial intelligence, specializing in creating systems capable of autonomously producing new content. Your role will involve working on a variety of projects, including generating text, images, music, and videos. You will design and train models, experiment with different architectures and algorithms, and fine-tune them to produce high-quality, realistic outputs.

Roles & Responsibilities:

Generative AI with OCR:

• Hands-on experience with Large Language Models (LLMs) in previous projects.
• Experience in product development using LLMs.
• Exposure to Optical Character Recognition (OCR).

Conversational AI with Reranking and/or Embedding:

• Hands-on experience with LLMs in previous projects.
• Experience in product development using LLMs.
• Experience with reranking and/or embedding techniques.
• Experience with chat, IVR, and banking applications is a plus.

Generative AI with IVR (Whisper, Google TTS, etc.):

• Hands-on experience with LLMs in previous projects.
• Experience in product development using LLMs.
• Experience with chat, IVR, and banking applications is a plus.
• Experience with Speech-to-Text technologies like Whisper and Google TTS.

Preferred Experience for All Roles:

• Hands-on experience with Vector Databases and Graph Databases (e.g., Pinecone, Milvus, Neo4j).
• Strong understanding and experience with Transformer/Neural Network models.
• Experience using OpenAI APIs and open-source LLMs (e.g., Llama2, Mistral, Mixtral).
• Solid understanding of frameworks like Langchain and Haystack, and the ability to use agentic workflows with these frameworks.
• Hands-on experience in creating embeddings using models like MPNET and Ada.
• Ability to apply advanced techniques such as HyDE, MMR, and LLM reranking for effective semantic search.

Competencies Required:

• Strong problem-solving skills.
• Extensive technical experience.
• Critical thinking abilities.
• Business acumen and a basic understanding of business domains to comprehend business requirements.
• Analytical abilities and strong technical skills.
• Good communication skills.
• In-depth understanding of technology and domain-specific knowledge.
• Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles, and modeling methods.
• Awareness of the latest technologies and trends.

Skills:

• Generative AI
• Optical Character Recognition (OCR)
• Interactive Voice Response (IVR)
• Embedding techniques
• Reranking methods
• Vector Databases
• Graph Databases

  Note: Candidates with valid work permit to work in the United States of America are only eligible to apply.