AuxoAI Engineering Pvt. Ltd. | Full time
Bangalore urban, India | Posted on 04/13/2026
AuxoAI is seeking a skilled and experienced Senior AI Engineer 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 degree in computer science, engineering, or a related field.
- Overall 7+ years of experience, with 5+ years in software engineering and 2+ years in AI/ML, with expertise in Generative AI and LLMs.
- Experience with AWS Bedrock or Azure OpenAI Studio or a similar enterprise AI environment.
- Strong proficiency in Python and experience with AI/ML frameworks such as 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.