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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Software Developer - **Company:** PROPERTY VALUE, INC. - **Location:** United States - **Salary:** $6,240.0 - **Contract:** Contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Performance Management, Microsoft Azure, Big Data, Databases, Continuous Integration, Information Engineering, Data Integrity, Database Design, Distributed Systems, Django Web Framework, Graph Database, Language Modeling, Neo4j, NoSQL, Performance Tuning, Software Engineering, SQL Databases, Data Streaming, Systems Integration, Web Applications, Web Application Frameworks, Software Organization, Data Processing, Scripting, Google Cloud, Enterprise Software Applications, Cloud Platform System, ReactJS, Flask (Web Framework), Large Language Models, Prompt Engineering, Generative AI, Backend, Fastapi, Web Filtering, AngularJS, Graphql, Front End Software Development, Restful APIs, GPT, Software Version Control, Data Pipelines, Devsecops - **Published:** August 18, 2026 - **Apply:** https://www.dice.com/job-detail/d38423c2-2a64-4526-9500-555d973de666 ## About the Role * Strong experience developing Python applications from scratch, including testing and deployment * Hands-on experience with full stack development (front-end + back-end) * Proficiency with database design and management (SQL and/or NoSQL) * Experience with data wrangling, transformation, and scripting for data pipelines * Familiarity with using LLMs (e.g., ChatGPT or similar) to enhance development workflows * Experience building and consuming APIs * Understanding of software development best practices (version control, testing, CI/CD) Preferred / Nice-to-Have Qualifications * Experience deploying and managing LLMs locally and in cloud environments * Hands-on experience with fine-tuning models and integrating them into production systems * Experience building RAG solutions and working with vector databases (e.g., Pinecone, FAISS) * Knowledge of prompt engineering and content filtering techniques * Familiarity with frameworks such as LangChain, LlamaIndex, or OpenAI function calling * Experience with model distillation and optimization * Exposure to knowledge graphs and graph databases (e.g., Neo4j) * Experience working in cloud environments (AWS, Azure, or Google Cloud Platform) ## Description We are seeking a highly skilled Full Stack Developer with strong software design expertise to design, build, and scale modern applications that integrate data-intensive systems and Generative AI capabilities. This role sits at the intersection of software engineering, data engineering, and AI innovation, supporting the development of enterprise solutions that leverage large datasets and advanced language models. You will work closely with cross-functional teams to architect, develop, and deploy scalable applications, while helping drive the integration of LLM/GenAI technologies into production environments., Full Stack Development * Design, develop, and maintain end-to-end web applications (front-end, back-end, and APIs) * Build scalable backend services using Python frameworks (e.g., Flask, FastAPI, Django) * Develop responsive, user-friendly front-end interfaces using modern frameworks (React, Angular, or similar) * Architect and implement RESTful and/or GraphQL APIs * Ensure application performance, scalability, and security across the stack Database & Data Engineering * Design, develop, and optimize relational and/or NoSQL database systems * Create efficient data models and schemas to support large-scale applications * Develop scripts and pipelines to ingest, transform, and manage data flows * Troubleshoot performance bottlenecks and ensure data integrity * Work with large, complex datasets to enable analytics and AI use cases Generative AI / LLM Integration * Build, test, and deploy LLM-powered applications and workflows * Integrate Generative AI capabilities into existing platforms and user experiences * Evaluate and assess LLM outputs for performance, accuracy, and usability * Implement Retrieval-Augmented Generation (RAG) pipelines and vector database integrations * Support fine-tuning, prompt engineering, and optimization of models for mission-specific use cases System Design & Architecture * Contribute to the design of scalable, distributed system architectures * Collaborate with engineers to integrate AI components into enterprise environments * Balance tradeoffs between performance, cost, and scalability * Support CI/CD pipelines and DevSecOps best practices for deployment Client & Mission Support * Translate ambiguous requirements into technical solutions * Help stakeholders understand evolving AI/technology options * Provide guidance on best practices for integrating AI into business workflows ## 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) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)