Job Description

Job Description AuxoAI is seeking a skilled and experienced AI Engineers to join our dynamic team. The ideal candidate will have 7+ years of prior experience in software engineering, with 2+ years of experience in AI/ML (with expertise in Generative AI and LLMs). This role involves collaborating with cross-functional teams to drive innovation and deliver impactful AI-driven products. Responsibilities This role is responsible for implementing our strategic direction on AI, intelligent automation, and data-powered operations. This role will also guide the implementation of AI solutions across various projects, with an eye on AI : AI/ML Solution Development : Design, develop, and deploy AI/ML technology stacks from concept to production and deployment Technical Leadership : Provide technical leadership and mentorship to junior engineers, guiding them in best practices and advanced techniques. Develop and optimize Generative AI workflows, including prompt engineering, fine-tuning, RAG and LLM-based applications. Work with Large Language Models (LLMs) such as Claude, Llama, Mistral, and GPT, ensuring efficient adaptation for various use cases. Design and implement AI-driven automation using agentic AI systems and orchestration frameworks like Autogen, LangGraph, and CrewAI. Leverage cloud AI infrastructure (AWS, Azure, GCP) for scalable deployment and performance tuning. Collaborate with cross-functional teams to deliver AI-driven solutions. Front ending customer discussions, customer engagement and success stories Collaborate with stakeholders to gather requirements and translate them into technical : Bachelors in computer science, Engineering, or a related field Overall 7+ years experience in software engineering, with 2+ years of experience in AI/ML, with expertise in Generative AI and LLMs Experience with AWS Bedrock or Azure OpenAI studio or similar enterprise AI environments Strong proficiency in Python and experience with AI/ML frameworks like PyTorch and TensorFlow Experience with containerization (e.g., Docker, Kubernetes), version control systems (e.g., Git) and software development methodologies (e.g., Agile, Scrum) Knowledge of advanced prompt engineering techniques Experience in AI workflow automation and model orchestration Hands-on experience with API development using Flask or Django (ref:hirist.tech)