Softomatic Technology Services
AI Solution Engineer
- Compensation
- Not disclosed
- Location
- Bangalore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Solutions engineering
- Posted
Skills
Must have
- - Strong hands-on knowledge of LLM applications, Agentic AI, RAG, MCP, and AI solution development.
- - Experience working with Azure Databases, Azure Cosmos DB / Graph DB and handling structured & graph data.
- - Strong understanding of AI application development and deployment, taking solutions from scratch to production.
- - Hands-on experience with Azure AI tools and other Azure services.
- - Knowledge of deployment optimization, including latency reduction, computational/resource optimization, and scalability.
- - Strong understanding of building production-ready AI solutions
Full description
Job Description :
We are seeking a highly skilled and motivated AI Engineer to join our team in building the next generation of AI solutions. As an AI Engineer, you will have the opportunity to work on cutting-edge projects, turning innovative AI concepts into real-world, production-ready applications on Azure and OpenAI.
Key Responsibilities :
- Develop and deploy LLM applications, Agentic AI, and RAG solutions.
- Work with Azure Databases, Azure Cosmos DB, and Graph DB to handle structured and graph data.
- Take AI solutions from scratch to production, ensuring seamless integration and deployment.
- Optimize deployment for latency, resource usage, and scalability to ensure high-performance applications.
What Were Looking For :
- Strong hands-on knowledge of LLM applications, Agentic AI, RAG, MCP, and AI solution development.
- Experience working with Azure Databases, Azure Cosmos DB / Graph DB and handling structured & graph data.
- Strong understanding of AI application development and deployment, taking solutions from scratch to production.
- Hands-on experience with Azure AI tools and other Azure services.
- Knowledge of deployment optimization, including latency reduction, computational/resource optimization, and scalability.
- Strong understanding of building production-ready AI solutions