Mx Acceleration Center - Senior IA Engineer (Fullstack)

Qualifications

• Bachelor Degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field.
• Minimum Years of Experience: 3 years

Preferred Knowledge/Skills

• Designing, training, and deploying machine learning models and Large Language Models (LLMs) into production environments.
• Developing scalable, cloud-native microservices using tools like Docker and Kubernetes.
• Building end-to-end AI applications integrated into web, mobile, or API-first platforms.
• Managing CI/CD pipelines and observability for AI systems using tools such as GitHub Actions and MLflow.
• Implementing vector databases, Retrieval-Augmented Generation (RAG) pipelines, and orchestration tools like LangChain and LlamaIndex.
• Building and integrating multi-agent frameworks (e.g., LangGraph, LangFlow) to enable autonomous AI task execution.
• Translating complex business problems into software-engineered AI solutions aligned with best practices.
• Deploying on cloud platforms (AWS, GCP, Azure) and leveraging services such as SageMaker, Vertex AI, or Databricks.
• Proficiency in Python and ML frameworks like PyTorch, TensorFlow, and Hugging Face Transformers.
• Collaborating in cross-functional engineering environments including front-end (React, Next.js) and platform teams.
• Familiarity with LLM providers (OpenAI, Anthropic, Meta, etc.) and working with chat/image-based model outputs.
• Hands-on experience with agent-based frameworks for intelligent orchestration.

Additional experience or qualifications considered a plus

• Delivering AI applications using RAG, vector databases, and agent-based frameworks.
• Working with multimodal inputs/outputs (text, image, audio).
• Fine-tuning models on domain-specific data.
• Applying Responsible AI practices including governance, bias mitigation, and ethics.
• Ensuring consistency and quality in model outputs in production or regulated environments.
• Contributing to open-source projects or AI/ML publications.
• Full-stack development experience across front-end, back-end, and database layers.