Artificial Intelligence Developer

Five Data Products And Solutions; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Five Data Products And Solutions seeks an experienced AI/ML Developer specializing in Large Language Models and generative AI. You will design, build, and deploy production-grade LLM-powered applications, architect multi-agent workflows, and optimize RAG pipelines.

You will work across frontend and backend, integrate Java services where needed, and collaborate with US-based teams. A strong background in Python, LangChain, and LangGraph is essential for success.

Qualifications

• Proven experience in software development with focus on AI/ML and LLMs.
• Strong Python proficiency and data science libraries.
• Experience integrating and working with major LLM APIs (public/private).

Responsibilities

• Design, develop, and deploy production-grade AI/ML applications leveraging LLMs and context optimization.
• Architect multi-step, multi-agent workflows using LangChain and LangGraph.
• Build and optimize RAG pipelines with embeddings, vector databases, and reranking.
• Integrate AI capabilities into full-stack applications with frontend and backend work.

Skills

Python

AI/ML development

LLMs

Education

Bachelor's degree in Computer Science

Tools

LangChain

LangGraph

Job description

LOCATION : REMOTE

SHIFT - NIGHT SHIFT ( PST Hours ) / UK Shift

We are seeking a highly skilled and experienced AI/ML Developer to join our team. The ideal candidate will be a specialist in the rapidly evolving field of Large Language Models (LLMs) and generative AI, with a strong background in developing, integrating, and optimizing complex agentic and RAG-based systems.

Roles and Responsibility

• LLM Integration & Development: Design, develop, and deploy production-grade applications leveraging various LLMs, context optimization, etc.
• Agentic Workflows: Architect and implement sophisticated, multi-step and multi-agent workflows using frameworks like LangChain and LangGraph.
• Retrieval Augmented Generation (RAG): Build and optimize RAG pipelines, including implementing and managing embeddings, vector databases, and advanced rerankers to enhance response quality and relevance.
• Vibe Coding: Use code generation applications (e.g. Replit, Cursor, Google AI Studio, Git Hub Copilot in Agent mode, etc.) to create full applications (including frontend and backend), generate tests, perform testing and integrate them in the core product without writing any code.
• LLM Fine Tuning: Lead efforts in LLM fine-tuning (e.g., LoRA, QLoRA) for specific domain knowledge and tasks, and implement strategies for and efficiency.
• Prompt Engineering: Develop and refine advanced prompt engineering techniques to maximize model performance, consistency, and safety.
• Full-Stack Development: Own end-to-end implementation from frontend to the backend.
• Java (Plus): Expose AI/LLM functionality written in Python using Java services, leverage multi-threading capabilities in Java to augment AI/LLM functionality developed in Python.
• Code Quality & Productivity: Utilize AI-powered development tools (e.g., GitHub Copilot, etc.) to efficiently generate, refactor, and optimize high-quality code.
• Collaboration: Work closely with team leads managers, QA, product managers and team in the US (this will require the willingness to work overlapping with US working hours).

Qualifications

• Undergraduate degree in Computer Science or similar Engineering field, advanced degree is a plus.
• 5+ years of professional experience in software development, with a minimum of 2 years focused on AI/ML development, particularly with LLMs.
• Strong proficiency in Python and its relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Proven experience integrating and working with major LLM APIs - both public and private/local, e.g., Gemini, OpenAI, Anthropic, Llama, Ollama, etc., including hands-on experience using techniques for LLM efficiency.
• At least 1 year of deep practical experience with LangChain and LangGraph for building complex LLM applications and agentic workflows using autonomous agents, tools, memory management, parallelization, etc.
• Solid understanding and implementation experience with RAG architectures, vector DBs, vector search, embeddings, and reranking mechanisms.
• Experience leveraging AI Copilot or similar generative AI coding tools for accelerated development, code generation, refactoring, optimization, and vibe coding to create integrated backend and frontend applications.
• Experience creating UI using React and integrating the UI with the backend using REST APIs is a big plus.
• Hands-on experience with Java, especially integrating Java modules with Python modules is a nice to have, but not necessary.