US Java AI Engineer Needed

@gotucat

Hi, I reviewed the project and understand you’re updating a Java-based platform with machine learning: preparing data, training models, and wiring them back into the Java codebase. You also need Claude integration so components can call Anthropic’s API, handle prompt engineering, and process results reliably. I’ll build clean, well-documented Java modules for the ML functionality, integrating the AI model outputs into your existing services with clear interfaces. I’ll also implement the Claude API calls, prompt and response handling, and configuration so your unit tests and demo reflect deterministic, reproducible behavior. You’ll get easy-to-manage code, clean documentation/README, and responsive iteration during unit-test and live demo review. Let’s discuss here now.

@C0RETECHIES

Hi, You need to bridge your existing Java platform with a structured machine learning pipeline and integrate Anthropic’s Claude models to handle code generation, automated review, and dynamic system logic. This requires exposing clean ML capabilities via modular Java code and orchestrating prompts securely. Technical approach: - Backend: Java-based modules (Spring Boot/Core) wrapping data prep, ML inference, and result mapping. - Claude Integration: A dedicated Anthropic API client in Java to handle dynamic context injection, prompt execution, and structured JSON extraction. - Validation: JUnit/Mockito for rigorous unit testing, ensuring deterministic LLM behavior and ML pipeline stability. - Build: Standardized Maven/Gradle configs with a clear README for local reproduction. Core modules: - Data Prep Pipeline: Classes handling pre-processing, sanitization, and model lifecycle. - Claude Orchestrator: Integration layer managing prompt engineering, system instructions, and context windows. - Execution Engine: Logic parsing Claude's outputs for safe automated workflows. Relevant systems: - AI Slack Clarification Assistant (Multi-step AI reasoning using Claude 3.5 Haiku and structured prompts) - Bison360 (Enterprise-grade Java backend built for a US-based client) Implementation strategy: I will build an isolated Claude integration module with unit tests first. Once validated via demo, I'll wire it into your core Java application. Regards, Rohit

@corpmember29

Hello, I read your requirements carefully and understand that you need a mid-level AI/ML engineer to enhance an existing Java platform, implement ML functionality, and integrate Anthropic Claude components. I have 11+ years of experience in backend and AI/ML development and can handle data preparation, model training, ML integration into Java modules, Claude API integration, prompt engineering, and structured result handling. I will follow your existing architecture and requirements, write clean and documented code, and provide unit tests, README/configuration, and a live demo for validation. I can also take ownership of the learning-loop and LLM workflow enhancements for continued development. I WILL PROVIDE 2 YEAR FREE ONGOING SUPPORT AND COMPLETE SOURCE CODE. I eagerly await your positive response. Thanks, Christina

@starttechno

Your Java platform needs more than a model endpoint: it needs a maintainable ML workflow for data preparation, training, evaluation, and dependable integration back into the existing codebase. I can take ownership of that implementation while keeping design decisions transparent and collaborative. My approach is to first map the current Java/J2EE module boundaries and test setup, then create focused, documented services for dataset validation/transformation, model training or inference, and result handling. I will expose these through clean Java interfaces, configuration-driven settings, structured error handling, and unit tests so the ML capability is reproducible rather than a one-off script. I also have hands-on Claude integration experience. Our production support platform, DeskLeap, runs on Claude, and I have built LLM workflows involving prompt design, API integration, response validation, retries, and safe handling of structured outputs. For your specified Claude components, I will keep prompts versioned, isolate API calls behind a client layer, and document required environment variables and build steps in the README. You will receive demo-ready modules, passing unit tests, and clear configuration notes for the learning loop and future LLM workflow enhancements. Muhammad Saad

@krupnovdenis

Hello! We can update your Java platform and add the ML and Claude integration you need. 1. Which part should we tackle first: data prep, model training, or Java integration? 2. Do you already have the ML data and model requirements defined? — About us We are dZENcode – a full-cycle IT company for digital product development: from design and programming to integrations and post-release support. We build projects from scratch and also work on existing solutions that need further development, improvements, or technical support. You can find detailed information about our services and rates on our official website: https://dzencode.com. Please review it – after that, we can discuss the details and agree on the next step. ⚠️ After clarifying all details, we will define the scope, the suitable cooperation format – task-based, outsourcing, or outstaffing – and the final cost. Projects are guaranteed to reach release with us: • 10+ years providing IT services; • 90+ in-house specialists; • 250+ public reviews since 2015; • We support products under SLA after launch; • We work under NDA and a company contract!

@KarthikTechCon

Hello, I’m Karthik, a seasoned Java AI Engineer with over 15 years of experience. I specialize in machine learning and have a strong track record in developing and enhancing Java-based platforms. I am a U.S. native, fluent in English, and can effectively communicate both verbally and in writing. I have hands-on experience with Anthropic’s Claude models, including API integration and prompt engineering. I can efficiently prepare data, train models, and seamlessly integrate them into your existing Java codebase while ensuring clean, well-documented modules. Key Deliverables: - Develop Java modules with ML functionality - Integrate Claude-driven components as specified - Provide a clear README and inline comments for reproducibility I focus on delivering quality work and can take ownership of features while collaborating effectively on design choices. I'm excited about the potential for continued work in enhancing your system. Let’s discuss how I can help achieve your goals! Best, Karthik

@mayr81

You’re updating an existing Java platform with an AI/ML core: data prep, model training, and wiring into production Java modules. I will deliver clean, well-documented Java components that expose the ML functionality, plus the integration layer for Anthropic Claude (API calls, prompt engineering, and robust result handling). Work will be structured around unit-test-first development, so your milestone review via tests and a quick live demo is straightforward. The README/inline comments will capture build steps and configuration to make results reproducible. After initial delivery, I’ll support continued enhancements to the learning loop and language-model workflows, maintaining ownership of features with clear design collaboration where tradeoffs matter.

@Jennycreation

Hello, I hope you're doing well. I work with Java-based AI integrations, including data preparation, model workflows, and API-driven automation. For a similar setup, I connected an LLM API to Java services, handling prompt templates, response parsing, and review output. I'd start by mapping the existing modules, adding testable interfaces, then documenting Claude configuration in the README. Could we have a short chat to confirm the model workflow and live-demo expectations? Thank you, JennyCreation

@TechizeBuilder

Dear Client, I read "US Java AI Engineer Needed" carefully and understand you need hands-on Claude/Anthropic expertise to build or integrate an AI assistant that actually works reliably. My hands-on experience with Java, XML, AI Model Development aligns directly with what you need. I've built production integrations with the Claude API — prompt engineering, tool use, agentic workflows and RAG pipelines — tuned for accuracy, cost and latency, and I can bring that same rigor to your project. A few quick questions to get us started: 1. Which Claude model and use case are you targeting — chat assistant, agent, RAG, or something else? 2. Do you have existing prompts/data, or should we design the pipeline from scratch? 3. What's your expected usage volume, so we can plan for cost and rate limits? Thanks & Regards, Deepak

@sanjana22kr

hello there , I can help enhance your existing Java platform with production-ready ML functionality and Claude-powered workflows. What I can deliver: Clean, modular Java code integrating ML models into your existing platform Data preparation, model training, evaluation, and inference workflows Claude API integration, prompt engineering, and structured result handling Unit-testable implementation with reliable error handling Clear README/configuration notes for easy reproduction and deployment Performance-focused, maintainable code with proper documentation I’m comfortable working independently on features while collaborating closely on architecture and design decisions. I can also take ownership of the Claude/AI engineering side, including effective prompting, API workflows, automated code review, and LLM-driven development. I’m ready to start with the first milestone and demonstrate the implementation through your unit tests and a live demo, with availability for continued work on the learning loop and LLM workflows. looking forward to work with you thanks

@mughiraaa

Hello, I have already completed similar Java and AI projects involving machine learning workflows, data preparation, model integration, APIs, and automated language model features. I have strong experience in web development, APIs, and scalable software solutions. I can work directly with your existing Java codebase, handle ML data and model workflows, integrate Claude through its API, and provide clean documentation and tests. Are you already using a specific ML approach or model type, or should I recommend the best option based on the current Java platform and learning requirements? I can quickly understand the existing system and deliver exactly what you need with minimal supervision. Let us schedule a quick meeting to discuss the platform and first milestone. I will share my portfolio in chat I look forward to hear from you. Thanks Best Regards, Mughira

@longngoc2307

==== Hi - Truong here ==== "JAVA AI & CLAUDE INTEGRATION" — you need ML functionality added to the existing Java platform with Claude workflows that can be tested and reproduced. I’d keep the ML layer isolated behind clean Java modules so the model preparation/training logic doesn’t get tightly coupled to the existing application. For Claude integration, I’d handle API calls, prompt construction, response validation and failure handling explicitly, then cover the behavior with unit tests and a reproducible README. Can you share the existing Java version/framework and the ML model or training approach already selected? Looking forward to work with you

@AhmadXpert2410

Hi there, I have 3 years of professional experience in AI and Data Science, with hands-on work building production ML pipelines, predictive models, and RAG-based AI applications. In my current role, I work with large datasets, Python, SQL, feature engineering, model evaluation, and production ML services, including a churn/dormancy prediction system achieving 80% precision on production data. For your Java platform, I can contribute on the ML side by preparing data, developing and evaluating models, and integrating AI functionality into the existing application through clean, well-documented APIs and workflows. I also have hands-on experience building RAG chatbots using FastAPI, FAISS, LLM APIs, Docker, and AWS, along with NLP and Transformer-based projects using PyTorch and Hugging Face. While my strongest production experience is in Python rather than Java, I am comfortable working with software architecture and integrating ML capabilities into existing systems. I can also support the Claude-driven workflow through strong LLM integration and prompt-engineering experience, with a focus on reliable result handling, testing, documentation, and reproducible configuration. I’m comfortable owning features independently while collaborating on technical decisions, and I would be glad to demonstrate the implementation through your unit tests and live demo. Regards, Ahmad

@aqeeqtechno

Hi there, I’m Mohammed Jamali from Aqeeq Technologies, with 12+ years of experience in AI/ML, Java/backend development, LLM integration, and enterprise applications. I can help enhance your existing Java platform and handle the ML development from data preparation through model integration. I can deliver: Data preparation, model training, and evaluation ML functionality integrated cleanly into your Java codebase Anthropic Claude API integration and prompt engineering Claude-based code generation/review workflows API integration and reliable result handling Clean, documented Java modules Unit-test-ready implementation README and configuration/build documentation Live demo and milestone-based delivery Tech: Java, Spring Boot, Python, ML/AI, REST APIs, Anthropic Claude API, Docker. I can work independently while collaborating on technical decisions and am interested in the continued work around the learning loop and LLM workflows. Available to start immediately. Thanks and Regards, Mohammed Jamali Aqeeq Technologies

@Eliteinno

Hi there, Navigating the complexities of integrating machine learning with a Java-based platform can be daunting, especially when it comes to ensuring seamless interaction with Anthropic's Claude models. Without the right expertise, you might face challenges in maintaining code quality and effective AI model integration. With my extensive experience in AI engineering and Java development, I can ensure your platform's ML enhancements are robust, well-documented, and effortlessly maintainable. Here are my questions to better understand your project needs: 1. Could you specify which Claude model functionalities are most crucial for your current project phase? 2. What existing Java frameworks or libraries are you utilizing that I should be aware of? Drop me a message so we can get started right away!

@sekai1116

JAVA AI/ML ENGINEER — CLAUDE INTEGRATION I can help enhance your existing Java platform by developing and integrating practical machine-learning functionality while keeping the current codebase clean and maintainable. I’m comfortable with data preparation, model training, inference workflows, Java integration, unit testing, and documenting configuration so the work can be reproduced reliably. I can also work with Anthropic’s Claude models for API integration, prompt engineering, structured result handling, and AI-assisted development workflows. My approach is to take ownership of features while collaborating closely when architectural or modeling decisions need to be made. I’m a U.S.-native English speaker and can communicate clearly throughout development. I’m ready to work against your unit tests and demonstrate the completed milestone live, with the architecture kept flexible for continued ML and LLM workflow improvements.

@venplura

I've built ML pipelines in Java before and understand you need someone who can own the ML→Java integration without micromanagement, plus actually know how to work with Claude's API rather than guess at it. The non-obvious part here is that this isn't just model training in isolation—you need clean modules that wire back into production code, with Claude handling specific tasks where it makes sense. I'd start by mapping your current Java architecture to see where ML fits best, then build the data prep and model training in parallel so nothing blocks integration. I've integrated Claude for code review workflows on a previous project, so I know the prompt engineering side and how to handle API responses reliably. Happy to jump on a quick call to dig into your existing codebase and the specific models you're targeting. Corné

@PINESCRIPTERR

Hi, I can support the Java platform across data preparation, model training, inference integration, and Claude-powered development workflows. I’ll work within the existing architecture, expose ML functionality through clear Java interfaces, and add unit tests, configuration examples, and reproducible build instructions. Depending on the models and latency requirements, I can deploy inference through ONNX Runtime/JVM libraries or isolate Python-based models behind a versioned service API. The integration will include schema validation, model versioning, deterministic preprocessing, confidence handling, monitoring, and safe fallback behaviour. Claude components will use structured prompts, bounded context, validated responses, retry and rate-limit handling, usage tracking, and secure server-side credentials. Generated or reviewed code will still pass normal engineering review and tests rather than being trusted automatically. My location and availability are accurately reflected in my submitted profile and should be verified there rather than inferred from the proposal. Are the existing models expected to run inside the Java process, or may they be deployed as a separate Python inference service? Regards, Houssame

@sergiom17

Hi, I’m a Full Stack/AI Developer with 3+ years of experience building AI-powered applications and backend systems using Java, Python, TypeScript, Node.js, and modern LLM APIs. I have hands-on experience integrating Anthropic Claude and OpenAI models, including API integration, prompt engineering, structured outputs, AI workflows, and automated development/review workflows. I can integrate these capabilities cleanly into your existing Java platform while keeping the implementation modular, testable, and maintainable. For the ML side, I can work across data preparation, model development, evaluation, and integration back into production Java modules. I’m comfortable taking ownership of features, collaborating on architecture decisions, and troubleshooting issues independently. I’ll provide clean, documented code along with unit-testable modules and a concise README covering configuration, build steps, and reproducibility. I’m available to start immediately and would be happy to begin with the first milestone. Best regards, Sergio