Python Fullstack Lead with AI

IRIS SOFTWARE
United States
1 day ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

LangGraph Framework JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Application Performance Management HTML5 Microsoft Azure Cascading Style Sheets (CSS) Cloud Computing Code Review Databases
+66 more
Continuous Integration Database Queries DevOps Web Development Distributed Systems Django Web Framework Elasticsearch Github Information Extraction Information Retrieval Python (Programming Language) Knowledge Management PostgreSQL MongoDB MySQL OAuth Redis Ui Patterns OpenAI Search Technologies Software Deployment Software Engineering TypeScript Pinecone Google Cloud Enterprise Software Applications Chatbots LangChain ReactJS Retrieval-Augmented Generation Flask (Web Framework) Snowflake Prompt Engineering Llamaindex Generative AI Backend Agentic-AI Fastapi Event Driven Architecture Build Management Containerization AI Platforms Kubernetes Information Technology HuggingFace CrewAI Weaviate AutoGen Apache Kafka Graphql Machine Learning Operations FAISS Front End Software Development React Redux Claude Azure AI Google Gemini Restful APIs Terraform Semantic Kernel GPT Automation Anywhere Docker Jenkins ChromaDB Microservices

Job description

We are seeking an experienced Python Full Stack Lead with strong expertise in modern web development and AI-powered application development. The ideal candidate will lead a team of engineers in designing, developing, and deploying scalable enterprise applications leveraging Python, React, AI/LLM frameworks, and cloud technologies. This role requires both technical leadership and hands-on development experience across backend, frontend, and AI solution architecture., Leadership & Architecture

  • Lead and mentor a team of Full Stack and AI Engineers.
  • Drive technical architecture decisions and establish development best practices.
  • Collaborate with product managers, stakeholders, and business teams to define technical roadmaps.
  • Conduct code reviews and ensure high-quality software delivery.
  • Define CI/CD, DevOps, security, and performance standards.

Backend Development

  • Design and develop scalable APIs and microservices using Python.
  • Build high-performance backend systems using FastAPI, Flask, or Django.
  • Develop enterprise-grade RESTful and GraphQL APIs.
  • Implement authentication and authorization using OAuth2, JWT, and SSO solutions.
  • Optimize database queries and backend performance.

Frontend Development

  • Develop responsive and scalable web applications using React.js.
  • Implement reusable UI components and state management solutions.
  • Integrate frontend applications with APIs and AI services.
  • Improve user experience, accessibility, and application performance., * Design and build Generative AI solutions using OpenAI, Azure OpenAI, Anthropic Claude, or Gemini models.
  • Develop Retrieval Augmented Generation (RAG) applications.
  • Implement AI workflows using LangChain and LangGraph.
  • Build AI agents, chatbots, document intelligence, and knowledge management solutions.
  • Fine-tune prompts and optimize model performance.
  • Integrate vector databases for semantic search and knowledge retrieval.

Cloud & DevOps

  • Deploy applications on AWS, Azure, or Google Cloud Platform.
  • Implement Docker and Kubernetes-based containerized environments.
  • Build and maintain CI/CD pipelines using GitHub Actions, Azure DevOps, or Jenkins.
  • Monitor and troubleshoot production systems.

Requirements

  • Python
  • FastAPI
  • Flask
  • Django
  • REST API Development
  • GraphQL
  • Microservices Architecture

Frontend

  • React.js
  • JavaScript
  • TypeScript
  • HTML5
  • CSS3
  • Redux

AI/ML

  • Generative AI
  • OpenAI / Azure OpenAI
  • LangChain
  • LangGraph
  • RAG
  • Vector Databases
  • Prompt Engineering
  • AI Agents

Databases

  • PostgreSQL
  • MySQL
  • MongoDB
  • Redis

Vector Databases

  • Pinecone
  • Weaviate
  • ChromaDB
  • FAISS

Cloud & DevOps

  • AWS / Azure / Google Cloud Platform
  • Docker
  • Kubernetes
  • Terraform
  • GitHub Actions
  • Azure DevOps
  • Jenkins, * Experience delivering enterprise AI applications in production environments.
  • Hands-on experience with Agentic AI frameworks.
  • Experience with Azure AI Studio or AWS Bedrock.
  • Familiarity with MLOps practices and model deployment.
  • Knowledge of event-driven architectures and distributed systems.
  • Experience working in Agile/Scrum environments.

Education

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or related field.

Nice to Have

  • LlamaIndex
  • CrewAI
  • AutoGen
  • Semantic Kernel
  • Hugging Face
  • Apache Kafka
  • Elasticsearch
  • Snowflake

Keywords for Sourcing

Python, FastAPI, Flask, Django, React, TypeScript, Full Stack Lead, Technical Lead, Generative AI, OpenAI, Azure OpenAI, LangChain, LangGraph, RAG, AI Agents, Vector Database, Pinecone, ChromaDB, Kubernetes, Docker, AWS, Azure, Google Cloud Platform, Microservices, GraphQL, Prompt Engineering.

Benefits & conditions

Depends on Experience

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