Senior AI Engineer

AuxoAI is seeking a skilled and experienced Senior AI Engineers to join our dynamic team. The ideal candidate will have 5+ 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. Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office) 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 7+ year’s experience, 5+ years in software engineering and 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 Note: Given the urgency of the role, we are currently prioritizing candidates who can join immediately or within 2 weeks.