AI Solutions Engineer

AI Solutions Engineer

Hyderabad, Hybrid

Responsibilities

• Design and implement intelligent integrations between applications and enterprise platforms.
• Build backend services and orchestration frameworks using Python.
• Create interfaces leveraging Model Context Protocol (MCP) and function-calling frameworks.
• Design schema-driven APIs and integration patterns.
• Develop and maintain AI automation pipelines and workflow orchestration services.
• Build context-aware AI functionality using RAG architectures and LLM-based systems.
• Implement and support AI evaluation frameworks and observability tooling.
• Design resilient service-to-service communication patterns.
• Deploy and maintain containerized applications and AI services in cloud environments.
• Contribute to MLOps and platform engineering initiatives.
• Collaborate closely with engineering, platform, and AI teams to deliver production-grade solutions.

Required Skills and Experience

• 8+ years of software engineering experience with a strong focus on Python.
• Experience supporting machine learning or MLOps ecosystems such as Kubeflow, MLflow, SageMaker, and Terraform.
• Advanced experience developing RESTful APIs and OpenAPI/Swagger-based services.
• Proven experience integrating external APIs and enterprise platforms.
• Strong understanding of authentication and security frameworks including OAuth2, JWT, and secure credential management.
• 1 year of experience with Git, CI/CD pipelines, and cloud deployment environments.
• Experience utilizing observability and monitoring tools such as Prometheus, Grafana, and ELK Stack.
• Working knowledge of Docker, Kubernetes, ArgoCD, and containerized deployments.
• Familiarity with AI and RAG technologies including embedding models, vector databases, Azure Cognitive Search, Pinecone, and Weaviate.
• Understanding of evaluation frameworks such as Scikit-learn, PyTorch, and TensorFlow.
• Experience integrating AI models into production systems and contributing to AI pipeline design.

Nice to Have Skills and Experience

• Experience working with MCP (Model Context Protocol).
• Experience with OpenAI integrations and enterprise AI platforms.
• Experience integrating AI solutions with platforms such as ServiceNow or Power Automate.
• Experience building and deploying at least one production chatbot or conversational AI application.
• Familiarity with enterprise automation and workflow platforms.