Artificial Intelligence Engineer

Job Type: Contract Duration: 12+ Months Job Summary We are looking for an experienced AI Engineer to design and develop AI platforms and solutions focused on AI agents, LLM gateways, model integration, and SDK development . The ideal candidate will have strong experience building scalable AI/ML applications and integrating multiple LLMs and AI services. Key Responsibilities Design and develop AI agents and agentic workflows using LLMs. Build and maintain LLM gateway/platform services for secure and scalable model access. Integrate and orchestrate multiple LLMs, foundation models, APIs, and AI services . Develop SDKs and reusable frameworks for AI/LLM integrations. Implement prompt management, model routing, authentication, observability, logging, and monitoring. Optimize model performance, latency, reliability, and cost. Collaborate with product, engineering, and data teams to deliver production-ready AI solutions. Ensure AI integrations follow security, scalability, and governance best practices. Required Skills 5+ years of experience in AI/ML or Software Engineering , with hands‑on GenAI experience. Strong experience with LLMs, Generative AI, AI Agents, and model integration . Proficiency in Python and experience developing APIs/SDKs. Experience with LLM gateways, model routing, API integration, and orchestration . Experience with frameworks such as LangChain, LangGraph, Semantic Kernel, or similar . Strong understanding of REST APIs, microservices, cloud platforms, and distributed systems . Experience with LLM providers such as OpenAI, Azure OpenAI, Anthropic, Google Gemini, or AWS Bedrock . Experience with AI observability, evaluation, security, and production deployment. Preferred Experience building enterprise-scale AI platforms or developer SDKs . Knowledge of RAG, vector databases, embeddings, function/tool calling, and MCP . Experience with AWS, Azure, or GCP . Experience with Kubernetes, CI/CD, and cloud-native architectures. #J-18808-Ljbffr