AI Application Engineer Hybrid , India; Bangalore​/Hybrid Fremont-California​/Hybrid

We are looking for an experienced AI Application Engineer to design, develop, and deploy intelligent applications that solve real-world business and customer problems.

You will work at the intersection of artificial intelligence and software engineering
, integrating AI models and services into reliable, scalable applications. The role involves developing AI-powered features, building LLM-based applications, working with data and APIs, and collaborating with product, engineering, and AI/ML teams to take solutions from concept to production.

• Design and develop production-ready AI-powered applications.
• Integrate LLMs, machine learning models, and AI APIs into software applications.
• Build AI features for web, enterprise, and business applications.
• Develop RAG-based applications using embeddings, vector databases, and enterprise data.
• Design APIs and backend services for AI-powered functionality.
• Implement prompt engineering, structured outputs, and model integration strategies.
• Evaluate AI model outputs for accuracy, reliability, latency, and cost.
• Develop data-processing and inference pipelines to support AI applications.
• Integrate AI solutions with databases, APIs, cloud services, and enterprise systems.
• Optimize AI applications for scalability, performance, security, and reliability.
• Implement appropriate validation, guardrails, and responsible AI practices.
• Work with software engineers, ML engineers, data engineers, and product teams.
• Monitor and troubleshoot AI applications in production environments.
• Stay current with developments in Generative AI, LLMs, and AI application development.
• Mentor junior engineers and contribute to technical architecture decisions.

• 5+ years of professional experience in software engineering, AI engineering, ML engineering
  , or a related field.
• Strong programming experience with Python
  .
• Strong software engineering fundamentals, including APIs, databases, testing, and system design.
• Hands-on experience building and deploying AI/ML-powered applications
  .
• Experience working with LLMs and Generative AI APIs or models
  .
• Strong understanding of RAG, embeddings, vector databases, and semantic search.
• Experience with REST APIs, microservices, and application integration.
• Experience with cloud platforms such as AWS, Azure, or GCP
  .
• Familiarity with Docker and CI/CD practices.
• Understanding of prompt engineering, model evaluation, and AI application optimization.
• Strong analytical, problem-solving, and communication skills.