AI Engineer

Posted 22d ago

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Design, build, and deploy intelligent solutions using ML, Deep Learning, and Generative AI
Work across the AI/ML lifecycle from experimentation to production deployment
Collaborate with engineering, product, and data teams to turn business challenges into AI solutions

Strong proficiency in Python
Experience developing production-ready AI/ML applications and services
Solid experience with Machine Learning including model development, evaluation, and optimization
Hands-on experience building applications with Generative AI and LLMs
Experience with Deep Learning concepts, neural networks, and modern model architectures
Practical experience with PyTorch and/or TensorFlow
Experience with NLP including text processing, embeddings, semantic search, classification, or generation
Hands-on experience designing and implementing RAG pipelines and vector-based retrieval
Experience integrating AI/ML APIs, foundation models, and third-party AI services
Understanding of MLOps and model deployment including versioning, monitoring, CI/CD, and production ML workflows
Experience with data engineering concepts for AI/ML workloads
Strong software engineering fundamentals with focus on maintainability, scalability, testing, and code quality

Experience with LLM fine-tuning, prompt engineering, and model evaluation
Experience with vector databases, embeddings, and semantic retrieval systems
Exposure to AI agents, tool/function calling, or multi-agent architectures
Experience with cloud-based AI/ML platforms, containerization, and orchestration technologies
Experience implementing AI observability, guardrails, responsible AI, or model governance
Experience optimizing AI applications for performance, latency, scalability, and cost

Skills