AI Engineer

Responsibilities

• Design, develop, and implement GenAI solutions using large language models (LLMs) to address specific business needs using Python
• Collaborate with stakeholders to identify opportunities for GenAI integration and translate requirements into scalable solutions
• Preprocess and analyze unstructured data for model training, fine-tuning, and evaluation
• Apply prompt engineering, fine-tuning, and RAG (Retrieval-Augmented Generation) techniques to optimize LLM outputs
• Deploy GenAI models and APIs into production environments, ensuring performance, scalability, and reliability
• Monitor and maintain deployed solutions, incorporating improvements based on feedback and real-world usage
• Stay up to date with the latest advancements in GenAI, LLMs, and orchestration tools
• Write clean, maintainable, and well-documented code and contribute to team-wide code reviews

Requirements

• Minimum 2 years of proven experience as an AI Developer
• Strong proficiency in Python
• Good understanding of multiple Gen AI models (OpenAI, LLAMA2, Mistral) and ability to set up local GPTs using tools like Ollama or LM Studio
• Experience with LLMs, RAG, and vector databases (e.g., FAISS, Pinecone)
• Experience with multi-agent frameworks to create workflows
• Proficiency with LangChain, LlamaIndex, or LangGraph
• Knowledge of Machine Learning frameworks, libraries, and tools
• Experience with cloud platforms such as AWS, GCP, or Azure
• Excellent problem-solving, communication, and teamwork skills

About the Company

Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. We focus on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. Our mission is to operationalize AI at scale and unlock sustained enterprise value for Fortune 100 enterprises and global innovators across industries like healthcare, telecom, and financial services.