02 Oct
|
Initvalue
|
Toronto
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.
Key Responsibilities
- 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.
Required Qualifications
- 5+ years of professional experience in software engineering, AI engineering, ML engineering , or a related field.
- Strong programming experience with Python .
- Solid 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.
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📌 AI Application Engineer Canada(Toronto, Vancouver)/Hybrid, India(Bangalore)/Hybrid, USA(Fremont-California)/Hybrid
🏢 Initvalue
📍 Toronto