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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technology Architect | Java | Java - ALL - **Company:** Ipolarity LLC - **Location:** Richardson, TX, United States - **Experience:** Expert - **Salary:** $100,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Big Data, Cloud Computing, Cloud Engineering, Encodings, Continuous Integration, Extract Transform Load (ETL), Software Design Patterns, Distributed Computing Environment, Django Web Framework, Python (Programming Language), Machine Learning, NoSQL, Software Engineering, SQL Databases, Systems Architecture, Systems Integration, Enterprise Software Applications, Cloud Platform System, Feature Engineering, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Prompt Engineering, Apache Spark, Generative AI, Backend, Fastapi, Pyspark, Kubernetes, HuggingFace, Machine Learning Operations, Virtual Agents, Terraform, GPT, Data Pipelines, Docker, Microservices - **Published:** July 23, 2026 - **Apply:** https://www.careerjet.com/jobad/us8c9dc0685b355b580a9d3422b09cbcbc ## About the Role ML Engineer with strong expertise in Python, Generative AI, Agentic AI, Cloud Technologies, and Full-Stack Development. The ideal candidate will have 7+ years of experience in designing and implementing scalable applications, AI-powered solutions, microservices and cloud-native platforms. The candidate will be responsible for developing innovative solutions leveraging LLMs, RAG architectures, Multi-Agent Systems, Vector Databases, Machine Learning, and AWS Cloud Services, while ensuring high standards of performance, security, scalability, and reliability. Should be capable to develop Generative AI applications using OpenAI GPT models, LLaMA, Hugging Face, and other foundation models. Build and orchestrate multi-agent AI systems. Should have experience in prompt engineering strategies and optimize LLM performance. Experience in designing semantic search and embedding-based retrieval pipelines. Capable to develop scalable ETL and data processing pipelines using PySpark and Apache Spark. Should have exposure in building feature engineering and ML workflows. Able to work with large-scale datasets and distributed processing frameworks. Experience in integrating AI and ML solutions into enterprise applications. Strong expertise in Python and backend application development. Hands-on experience with FastAPI, Flask, Django, and Microservices architecture. Experience with Generative AI, LLMs, RAG, LangChain, and LangGraph. Expertise in AWS cloud services and cloud-native architectures. Strong understanding of software design patterns and system architecture. Experience with Docker, Kubernetes, Terraform, and CI/CD pipelines. Proficiency in SQL and NoSQL databases. Experience with Agile/Scrum development methodologies. ## Description Job Description In the assigned Job Role of Architecture Consultant 2, your Area Of Responsibility will be as below: Participate in customer discussions to gather and analyze… + 20 hours ago ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) - [Java Meets AI: Empowering Spring Developers to Build Intelligent Apps](https://www.wearedevelopers.com/videos/1554-java-meets-ai-empowering-spring-developers-to-build-intelligent-apps) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)