Senior AI Engineer

2 weeks ago

Hyderabad, Telangana, India AuxoAI Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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

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