Full Stack Engineer (React / Python / AWS / LLM)

Posted 10 Days Ago
Hiring Remotely in United States
Remote
Mid level
Software • Consulting
The Role
Provide technical support and development for an eAuthoring application: maintain frontend (React) and backend (Python), integrate and tune LLM features for summarization, tagging, automation and draft generation, work with AWS infrastructure, and collaborate with a top client within EST timezone.
Summary Generated by Built In
Full Stack Engineer (React / Python / AWS / LLM)

Employment Type: Full-Time Consulting (W2)
Location: 100% Remote (Must Support EST Work Hours)
Benefits: Healthcare, 401(k), Paid Time Off, Paid Holidays

Overview

We are seeking a Full Stack Engineer to support the development and enhancement of a modern, AI-powered enterprise application. This platform leverages Large Language Models (LLMs) to summarize content, organize information through tagging, automate repetitive workflows, and generate draft documentation.

This role is ideal for an engineer who enjoys building scalable applications, working across the stack, and contributing to practical AI-driven solutions in a production environment.

Key Responsibilities
  • Design, develop, and enhance full stack features using React (front end) and Python (backend)

  • Build scalable, maintainable backend services and APIs

  • Develop responsive, intuitive front-end components and user interfaces

  • Support and optimize cloud-native solutions within AWS

  • Integrate and enhance LLM-powered capabilities within the application

  • Collaborate with product, engineering, and cross-functional teams to deliver high-quality features

  • Contribute to architecture discussions and technical decision-making

  • Participate in code reviews, testing, and deployment processes

  • Troubleshoot and resolve production issues as needed

Required Qualifications
  • Strong full stack development experience with:

    • React

    • Python

  • Experience building and deploying applications in AWS environments

  • Hands-on experience working with or integrating Large Language Models (LLMs)

  • Experience designing and consuming RESTful APIs

  • Ability to work effectively in a remote team aligned to EST hours

  • Strong problem-solving skills and ability to work in an agile environment

Preferred Qualifications
  • Experience supporting enterprise-scale platforms

  • Familiarity with AI-enabled workflows or document automation tools

  • Understanding of cloud architecture best practices

  • Experience optimizing performance in distributed systems

What We Offer
  • Full-time consulting role with comprehensive benefits

  • Competitive compensation

  • Healthcare coverage

  • 401(k) plan

  • Paid time off and paid holidays

  • Opportunity to work on innovative AI-driven solutions

Top Skills

AWS
Large Language Models
Python
React
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The Company
Chennai
7,456 Employees
Year Founded: 1980

What We Do

Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries.
With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology

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