Job
Description
Role Overview: You will be part of the team at Xpergia, a client of Uplers, working on building cutting-edge AI-powered applications that provide financial and marketing insights. As an AI Engineer focusing on backend development, you will play a crucial role in designing and developing multiple agentic AI applications that integrate with data lakehouses and business intelligence platforms. Your work will involve working on a range of AI-driven solutions across various use cases, all built on a common architecture utilizing advanced LLM technologies, agentic frameworks, and cloud infrastructure. Key Responsibilities: - Design and develop Python backend services using FastAPI for AI-powered applications - Implement agentic workflows using LangChain and/or Azure AI agentic frameworks like AutoGen - Build and maintain RAG systems for context-aware AI responses - Develop MCP servers and integrations for tool calling and external API interactions - Create sandboxed execution environments for AI-generated code and visualizations - Write efficient SQL queries against data lakehouses to retrieve business insights - Integrate with Tableau dashboards and other BI platforms - Optimize data retrieval patterns for LLM context windows - Build benchmarking systems to evaluate LLM performance across different models and providers - Implement model switching logic to automatically use the most efficient/effective LLM - Monitor and optimize token usage, costs, and response latency - Work with AWS Bedrock and Azure AI Foundry for model deployment - Containerize applications using Docker - Deploy and manage services in Kubernetes (K8s) clusters - Build and maintain GitLab CI/CD pipelines for automated testing and deployment - Ensure scalability, reliability, and security of production systems - Work directly with US-based clients to understand requirements and deliver solutions - Collaborate with frontend developers (React), data engineers, and architects - Participate in technical design discussions and architectural decisions - Document code, APIs, and system architecture clearly Qualification Required: - 3+ years of professional Python development experience - Strong SQL skills with experience querying databases or data lakehouses - Experience with FastAPI or similar Python web frameworks (Flask, Django) - Hands-on experience with AWS Bedrock or Azure AI services - Familiarity with Docker containerization - Experience with Kubernetes (K8s) deployments - Proficiency with Git and GitLab CI/CD or similar CI/CD tools - Understanding of RESTful API design and development - Working knowledge of LLM technologies (GPT, Claude, Llama, etc.) - Experience with prompt engineering and LLM application development - Familiarity with LangChain, AutoGen, Azure AI frameworks, or similar agentic/orchestration frameworks - Understanding of RAG (Retrieval-Augmented Generation) patterns Additional Company Details: Uplers is dedicated to simplifying and expediting the hiring process. They aim to assist talents in finding and applying for relevant contractual onsite opportunities to advance their careers. Uplers is committed to supporting individuals with any challenges or grievances they may encounter during their engagement. There are multiple opportunities available on the portal, and based on assessments cleared, candidates can apply for them as well. If you are seeking a new challenge, a supportive work environment, and a chance to elevate your career, do not hesitate to apply today as Uplers is eagerly awaiting your application.,
