AI Engineer

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

· 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