AI/ML Engineer
Build production AI systems with GPT-5, Claude, LangChain, TensorFlow, and custom ML pipelines.
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About the Role
We're hiring an AI/ML Engineer to build the intelligent systems at the heart of our products. You'll work with OpenAI GPT-5, Claude, LangChain, and custom ML models — building everything from RAG pipelines and AI agents to computer vision systems and predictive analytics. This isn't research — it's production AI. You'll ship models that handle real traffic, integrate with real products, and deliver measurable business impact. If you love turning cutting-edge AI into working software, this role is for you.
What You'll Do
- Build and deploy production AI systems using OpenAI GPT-5, Claude, and open-source models
- Design and implement RAG pipelines with vector databases (Pinecone, Weaviate, Chroma)
- Build autonomous AI agents using LangChain, LlamaIndex, and custom orchestration
- Develop and fine-tune ML models with TensorFlow, PyTorch, and scikit-learn
- Create data preprocessing and feature engineering pipelines
- Implement prompt engineering strategies and evaluation frameworks
- Deploy models to production with proper monitoring, versioning, and rollback
- Collaborate with product and engineering teams to identify AI opportunities
What We're Looking For
- 3+ years of experience in ML/AI engineering or applied data science
- Strong Python skills with production-grade coding practices
- Hands-on experience with LLM APIs (OpenAI, Claude, or similar)
- Experience building RAG systems or working with vector databases
- Proficiency with at least one ML framework (TensorFlow, PyTorch)
- Understanding of NLP, embeddings, and transformer architectures
- Experience deploying ML models to production (AWS SageMaker, Vertex AI, or similar)
- Strong problem-solving skills and ability to translate business needs into AI solutions
Nice to Have
- Experience with LangChain, LlamaIndex, or similar agent frameworks
- Knowledge of MLOps tools (MLflow, Weights & Biases, DVC)
- Experience with computer vision (OpenCV, YOLO, or similar)
- Familiarity with n8n, Make, or Zapier for AI workflow automation
- Experience fine-tuning open-source models (Llama, Mistral)
- Publications or open-source contributions in ML/AI
Tech Stack
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