Lead Generative AI Engineer - Ascentt : Job Details

Job Summary:

• We are seeking a highly skilled and experienced Senior Generative AI Engineer to join our innovative team.
• In this role, you will be responsible for designing, developing, and implementing advanced AI solutions using the latest frameworks and techniques in Generative AI.
• You will work on cutting-edge projects involving LLM (Large Language Models), hybrid-retrievers, and natural language processing (NLP) applications.
• The ideal candidate should have strong software development skills, cloud experience, and deep expertise in AI frameworks like LangChain, LangGraph, and more.
• You will also collaborate with cross-functional teams to deliver high-impact solutions across a variety of domains.

Key Responsibilities:

• Lead the design, development, and deployment of scalable AI models, focusing on Generative AI, NLP, and multimodal applications.
• Architect and optimize solutions using frameworks like LangChain, LangGraph, and hybrid-retrievers to enhance system performance and accuracy.
• Build, fine-tune, and maintain Large Language Models (LLMs), and develop effective strategies for integrating them into various applications.
• Implement and experiment with retriever-augmented generation (RAG) techniques and vector stores for effective document and data retrieval.
• Develop natural language interfaces and querying systems that enable seamless human-AI interaction.
• Utilize transformers, GPT models, and other state-of-the-art architectures to push the boundaries of AI research and application.
• Collaborate with data scientists, ML engineers, and cloud architects to integrate models into cloud-native infrastructures (AWS, Azure, GCP).
• Design robust and efficient pipelines for AI model training, evaluation, and deployment in a CI/CD environment using Git for version control.
• Mentor junior engineers and collaborate closely with cross-functional teams to ensure seamless project delivery.
• Stay up-to-date with the latest advancements in Generative AI, NLP, and machine learning, and assess new frameworks and technologies for implementation.

Requirements:

• Master's or PhD degree in Computer Science, Mathematics, Machine Learning, or a related engineering field.
• 5+ years of hands-on experience in software development, with expertise in AI/ML model development.
• Proficiency in frameworks like LangChain, LlamaIndex, LangGraph, transformers, and hybrid-retrievers.
• Strong cloud experience in AWS, Azure, or Google Cloud Platform (GCP), with a focus on scalable AI model deployment.
• Hands-on experience with Git, CI/CD pipelines, and best practices in software engineering and code versioning.
• Strong proficiency in programming languages such as Python.
• Extensive experience working with LLMs (e.g., GPT-4, BERT) and fine-tuning them for various applications.
• Familiarity with vector databases (e.g., FAISS, Chroma, Pinecone, Weaviate) and advanced retrieval techniques.
• Strong understanding of REST APIs, microservices architecture, and end-to-end AI application development.
• Excellent problem-solving skills and the ability to work on complex technical challenges.
• Experience working in agile environments and with cross-functional teams.

Bonus if you have:

• Experience with LangChain for building complex LLM applications.
• Experience with Databricks or Apache Spark for large-scale data processing.
• Familiarity with multi-cloud strategies and designing AI solutions for hybrid cloud environments.
• Experience with Docker and Kubernetes for containerized AI model deployment.
• Strong communication and leadership skills, with the ability to drive projects from concept to completion.