Software Engineer

Click2.ai; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

A leading AI consulting firm is seeking a Software Engineer to build, deploy, and operate production LLM-powered applications. This role requires strong software engineering skills with a focus on AI-driven features. Ideal candidates should have 3+ years of experience, proficiency in Python and TypeScript, and familiarity with AWS and Azure. The position is full-time with remote work available, offering a mid-senior level opportunity in a dynamic and innovative environment.

Qualifications

• 3+ years of professional experience as a software engineer, with applied LLM or ML system experience.
• Strong proficiency in Python and TypeScript.
• Experience deploying production services on AWS.

Responsibilities

• Design and implement LLM-based applications including RAG search and document Q&A.
• Build and maintain retrieval pipelines and develop backend services.
• Deploy and operate AI services on AWS infrastructure.

Skills

Python

TypeScript

LLM applications

AWS

system design

Job description

Software Engineer – Applied AI & LLM Systems

Role Overview

This role focuses on building, deploying, and operating production LLM-powered applications at Click2.ai Consulting. You will design and implement AI-driven features such as search, document understanding, and workflow copilots, with a strong emphasis on software engineering rigor, evaluation, and reliability. Systems are primarily deployed on AWS, with periodic integration into Azure-hosted client environments.

Responsibilities

• Design and implement LLM-based applications including RAG search, document Q&A, summarization, and task copilots
• Build and maintain retrieval pipelines (chunking strategies, embeddings, indexing, permissions‑aware access)
• Develop backend services using Python and TypeScript
• Deploy, operate, and monitor AI services on AWS infrastructure
• Design and maintain evaluation frameworks for quality, hallucination rates, latency, and cost
• Implement guardrails including citation enforcement, PII handling, prompt/version control, and safety checks
• Instrument systems and drive improvements based on production usage data
• Integrate with Azure-based client systems where required

Qualifications

• 3+ years of professional experience as a software engineer, with applied LLM or ML system experience
• Strong proficiency in Python and TypeScript
• Experience deploying production services on AWS
• Familiarity with Azure cloud concepts and enterprise identity systems
• Experience with vector databases, embeddings, and retrieval systems
• Strong understanding of system design and production operations

Preferred Qualifications

• React experience for user-facing AI features
• Experience operating AI systems in regulated or enterprise environments
• Familiarity with observability, performance optimization, and cost management

Remote work available

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Information Technology and Design
• IT Services and IT Consulting, Software Development, and Business Consulting and Services

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