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.