AuxoAI is seeking a skilled and experienced AI Engineers to join our dynamic team. The ideal candidate will have 4+ 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 governance.
Responsibilities
- 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 specifications
Requirements
- Bachelor's in computer science, Engineering, or a related field
- Overall 3+ year's 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)
