Senior Software Engineer (LLM)

TL;DR

Senior Software Engineer (LLM): Designing and implementing full-stack applications and AI agents for a GenAI platform with an accent on rapid development, validation, and deployment. Focus on applying current LLM patterns, building developer tooling for iteration, and driving architecture for secure, reliable, cloud-native systems.

Location: Remote from Brazil, Bulgaria, Colombia, Georgia, Lithuania, Poland, or Uzbekistan. Must have US Central Time overlap (9–11 AM CDT).

Company

hirify.global is an AI-first global tech company with over 25 years of engineering leadership, partnering with Fortune 500 clients in various sectors.

What you will do

• Design and implement full-stack applications, AI agents, and platform components.
• Build developer tooling, CI/CD, and observability for fast iteration.
• Apply secure SDLC and privacy-by-design practices.
• Collaborate with product, UX, and domain experts to deliver customer-focused solutions.
• Apply current LLM patterns (RAG, retrieval, routing, tool-use, evals) to deliver measurable customer value.
• Lead by example, mentor engineers, and take ownership of larger projects.

Requirements

• 8+ years of professional software engineering experience.
• Strong full-stack development skills and cloud experience (AWS, Azure, or GCP).
• Expertise in at least one, and proficient across others, including AI agent development and evaluation, backend/frontend development, cloud services, CI/CD, IaC, SRE, Quality engineering, Secure SDLC, and privacy by design.
• Proven track record delivering secure, reliable, cloud-native systems to production.
• Excellent problem-solving, ownership, and cross-functional communication.
• US Central Time overlap (9–11 AM CDT).
• English level: Upper-Intermediate (B2).

Nice to have

• Ability to deliver software products independently or as part of a small, fast-paced team.
• Experience taking AI agents from concept to production, including safety evaluations and iterative testing.
• Experience with LangChain, LangGraph, MCP, vector/RAG systems, and OpenSearch.
• Experience with traditional ML tasks such as training, deployment, and monitoring.
• Understanding of how LLMs work, their failure modes, and techniques such as fine-tuning and model adaptation.
• Familiarity with regulatory frameworks such as SOC 2, HIPAA.

Culture & Benefits

• International projects with in-office, hybrid, or remote flexibility.
• Medical healthcare, well-being program, and sports compensation.
• Recognition program, ongoing learning & reimbursement.
• Team events, local benefits, and referral bonuses.
• Top-tier equipment provision.
• Culture of trust, respect, open dialogue, creative freedom, and mentorship.