AI Engineer

Job Purpose

The AI Engineer builds production‑grade AI systems including RAG pipelines, fine‑tuned models, prompt engineering, model evaluation, and scalable pipelines for enterprise deployment.

• Build and maintain production AI pipelines and supporting infrastructure
• Develop RAG systems, embeddings pipelines, and context‑engineering layers
• Implement scalable model‑serving, orchestration, and automation processes

• Perform model selection, fine‑tuning, and optimization for various use cases
• Conduct advanced prompt engineering for LLM‑based systems
• Run model experiments, diagnostics, and performance tuning

• Develop evaluation datasets and rigorous testing frameworks
• Validate model quality, accuracy, and consistency through experimentation
• Ensure models meet production‑level reliability and performance standards

• Collaborate with Dev Ops/MLOps teams to deploy and maintain AI models
• Implement monitoring, observability, and error‑handling mechanisms
• Ensure scalability, operational efficiency, and compliance

• Bachelor's degree in Computer Science, AI/ML, Data Science, Software Engineering, or related field
• (4-7) years of experience in AI/ML engineering, applied machine learning, or similar roles
• Hands‑on experience building production AI pipelines
• Strong Python skills and familiarity with ML frameworks (Tensor Flow, PyTorch, etc.)
• Knowledge of vector databases, RAG frameworks, and LLM orchestration
• Experience with CI/CD, MLOps, cloud environments, and scalable infrastructure
• Experience with LLM fine‑tuning, evaluation, and advanced prompt engineering
• Experience in enterprise or government‑level AI deployments