AI Engineer

AI Engineer Qualifications

• 4–8+ years of experience in software engineering, ML engineering, or AI solution development
• Strong proficiency in Java
• Hands‑on experience with Generative AI / LLMs, including RAG, embeddings, prompt engineering, and agents
• Solid understanding of data engineering concepts, SQL/No
  
  SQL, and feature pipelines
• Experience deploying AI solutions on cloud platforms (GCP preferred; AWS/Azure acceptable)
• Familiarity with Docker, Kubernetes, and CI/CD pipelines
• Strong problem‑solving, communication, and stakeholder collaboration skills
• Bachelor of Computer Science

• Design, develop, and deploy AI/ML and Generative AI solutions, including LLM‑based applications, RAG pipelines, agents, and predictive models
• Translate business use cases into production‑ready AI solutions with measurable outcomes
• Deep knowledge in Java streams technology
• Implement LLM orchestration, prompt engineering, vector search, embeddings, and model fine‑tuning
• Develop scalable APIs and microservices to integrate AI capabilities into enterprise applications
• Collaborate with Data Engineers, Data Scientists, Product Owners, and Cloud teams across onshore/offshore models
• Implement MLOps / LLMOps practices, including CI/CD, monitoring, versioning, model governance, and observability
• Ensure Responsible AI, security, compliance, and data privacy by design
• Support production deployments, performance tuning, and continuous improvement of AI systems

$100,000–$120,000 a year