DATAECONOMY

Backend Engineer

• Lead the design, development, and implementation of scalable Java applications using Spring Boot and related frameworks.
• Architect and implement microservices-based solutions that are modular, secure, and cloud-ready.
• Provide technical leadership and mentorship, fostering growth and innovation within the team.
• Translate complex business requirements into efficient, high-performing technical solutions.
• Conduct code reviews, enforce standards, and ensure code quality.
• Troubleshoot and resolve complex technical challenges.
• Collaborate with cross-functional teams (QA, Product, DevOps, Operations) to deliver seamless solutions.
• Drive Agile practices and actively participate in sprint ceremonies.
• Stay updated on emerging technologies and recommend innovative solutions.

Java Architect

AI Engineer

• Architect, develop, and implement LLM-powered and generative AI solutions utilizing both proprietary and open-source technologies (e.g., GPT-4, Llama 3, Gemini, Claude)
• Craft, refine, and test model prompts to achieve targeted outputs
• Build and maintain stateful, multi-agent workflows and autonomous AI agents using frameworks like Microsoft AutoGen, LangGraph, LangChain, LlamaIndex, and CrewAI
• Design and deploy RAG pipelines by integrating vector databases for efficient knowledge retrieval
• Serve LLMs via FastAPI-based endpoints and manage their deployment using Docker containers and orchestration tools like Kubernetes and cloud functions
• Construct data pipelines for ingestion, preprocessing, and controlled versioning of training datasets
• Partner with data scientists, software engineers, and product teams to scope and integrate generative AI initiatives

Java Architect

GenAI Engineer