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About the role
AuxoAI is seeking a skilled and experienced AI engineer to join our energetic team. The ideal candidate will have 2+ years of prior experience in software engineering. This role involves collaborating with cross-functional teams to drive innovation and deliver impactful AI-driven products. 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 Bachelor's in computer science, Engineering, or a related field. - Overall 2+ years of experience in software engineering, with 1+ 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) .
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