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Full Stack AI Developer

Alchemy · Nashville, TN, USA · USD60-?/hourly · via jobspy:indeed
65
Open listing

Fit analysis

The candidate is a highly skilled Full Stack Engineer with deep expertise in B2B e-commerce and industrial IoT telemetry. However, the resume lacks any demonstrated hands-on experience or knowledge regarding modern Generative AI concepts (LLMs, RAG, vector databases) or specific cloud ML services required for this specialized role.

Where you fit

  • Full Stack Development: Proficient in architecting complex systems using Next.js, React, and Node.js across multiple roles (Brooking Technologies, SCP Corp LLC).
  • B2B E-commerce Architecture: Extensive experience building headless B2B storefronts using Next.js/Shopify, managing product catalogs, and optimizing sales workflows (Brooking Technologies, Mission Ready Solutions).
  • Complex Data Integration: Proven ability to integrate disparate systems using GraphQL (Hasura) with PostgreSQL and live blockchain nodes (SCP Corp LLC).
  • Real-Time Systems & Hardware: Engineered real-time telemetry pipelines for large physical asset fleets (1,800+ machines) using Rust/JavaScript (Abit Corp LLC).
  • Database Management: Strong command of relational databases, managing complex e-commerce data flows and centralizing customer accounts via PostgreSQL (SCP Corp LLC, Mission Ready Solutions).
  • Operational Process Optimization: Demonstrated ability to drive measurable business improvements, such as optimizing B2B quote accuracy by 30% and ensuring zero disruption during infrastructure rollouts (Brooking Technologies, Abit Corp LLC).

Where you may struggle

  • AI/ML Application Experience: The resume does not show any experience building or supporting AI/ML applications; the focus is on traditional data pipelines and web development.
  • LLM Integration & GenAI Exposure: There is no mention of working with Large Language Models (OpenAI, Anthropic, open-source models), RAG pipelines, prompt engineering, or vector databases—all critical requirements for this role.
  • Cloud ML Services: While the candidate mentions cloud hosting and global datacenter regions, there is no specific experience using FaaS, PaaS, microservices on major hyperscalers (AWS Bedrock, Azure OpenAI, Vertex AI).
  • Required Years of Experience: The job requires 3 years in AI/ML applications and 2 years in LLM integration; the resume does not provide evidence for these specialized timeframes.
  • Python Proficiency: Python is listed as a required language, but the candidate's experience is heavily focused on JavaScript/TypeScript and Rust.

Cover letter

Job description
Job Description We are looking for a motivated Applied AI Engineer with 7 to 10 years of overall experience to actively engage in the engineering craft, taking a hands-on approach to building and supporting high-visibility projects. Your contributions will help deliver solutions that delight customers and users, while driving tangible value for business investments. You will apply your growing engineering expertise across multiple programming languages and modern frameworks, consistently delivering quality, outcome-focused work. The ideal candidate is a collaborative team player eager to learn, grow, and contribute, working with cross-functional teams to design, develop, and deploy software solutions, while building hands-on experience using AI and agentic tools across the engineering lifecycle. Requirements Bachelor’s degree in Computer Science, Software Engineering, Data Science, Machine Learning, or a related discipline. 3 to 5 years of experience with one or more of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, as well as unit testing frameworks. 1+ years of experience building AI/ML applications, with hands-on GenAI exposure across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, or vector databases. 1+ years of experience with cloud-native engineering, using FaaS, PaaS, or micro-services on any of the cloud hyperscalers such as Azure, AWS, or GCP, including exposure to their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI. Working knowledge of engineering standards and best practices, with a willingness to learn and adopt new standards under guidance. Understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, and algorithms. Exposure to methodologies and tools such as Agile, DevSecOps, ADO, GitHub, SonarQube, MLflow, or agentic AI frameworks (e.g. LangFuse, LangSmith, or equivalent) is a plus. Ability to work in your local office at a minimum of 3 days per week. Pay: From $60.00 per hour Experience: AI/ML applications: 3 years (Required) LLM integration (OpenAI, Anthropic, or open-source models): 2 years (Required) Angular, React, NodeJS: 8 years (Required) Work Location: Hybrid remote in Nashville, TN 37205

Questions from the bot

Do you have hands-on experience integrating LLMs (like OpenAI or Anthropic) into an application? If so, what was your role in designing the prompt engineering or retrieval process?
Have you built a Retrieval Augmented Generation (RAG) pipeline before? If so, what vector database did you use and how did it improve the accuracy of the generated content?
Do you have experience deploying microservices using FaaS/PaaS on AWS, Azure, or GCP, specifically utilizing their AI/ML services like Bedrock or Vertex AI?

Timeline

2026-10-20 22:11:24
scored 65: The candidate is a highly skilled Full Stack Engineer with deep expertise in B2B e-commerce and industrial IoT telemetry. However, the resume lacks any demonstrated hands-on experience or knowledge regarding modern Generative AI concepts (LLMs, RAG, vector databases) or specific cloud ML services required for this specialized role.
2026-10-20 22:04:53
found Found via jobspy:indeed