Backend Engineer - Agentic AI

Openkrill

United States

Remote

USD 120,000 - 180,000

Full time

6 days ago

Be an early applicant

Application generator

Stand out for this role — generate a tailored resume and cover letter in about a minute.

Get past ATS filters

Benefits offered by this job

Fully remote

Independent contractor agreement

USD payments (biweekly or monthly)

Job summary

Virtasant is seeking a hands-on backend-focused software engineer to join a fully remote Development Team. You will build features across Agentic AI and backend services, with occasional frontend input when needed.

The role requires independence, strong coding standards, and collaboration with peers across the team. You will work primarily in Python for AI/Agent work and Java for integration with the client’s core platform, ensuring performance and data quality.

Qualifications

Backend-heavy software development with Java and Python.
Daily use of AI coding assistants in the workflow.
Cloud platforms experience, especially GCP.
Experience with Microservices and distributed systems.
Ability to work independently on well-defined problems.
Experience building AI-driven apps with LLMs and LangChain/ADK.

Responsibilities

Design, develop, test, deploy, and support high‑quality code.
Build MCP servers with tool design, auth/OAuth, multi‑tenant security.
Create LLM agents with tool calling and multi‑agent orchestration.
Test agent behavior and observability in production.
Contribute to architecture discussions on scaling and reliability.
Develop backend services in Python and Java with performance focus.
Use AI coding tools daily to improve productivity and code quality.
Participate in code reviews and address technical debt.
Break down tasks into manageable pieces and deliver reliably.
Collaborate with Product and QA to meet high quality standards.

Skills

Backend development

Java

Python

English communication

Cloud platforms (GCP)

Microservices

AI coding assistants

LangChain/Google ADK

LLM integration

Observability/testing

Education

CS/Engineering degree or equivalent

Tools

Cursor

Claude Code

GitHub Copilot

LangChain

Google ADK

GCP

Job description

About Virtasant

Virtasant is a global technology services company with a network of over 4,000 technology professionals across 130+ countries. We specialize in cloud architecture, infrastructure, migration, and optimization, helping enterprises scale efficiently while maintaining cost control. Our clients range from Fortune 500 companies to fast-growing startups, relying on us to build high-performance infrastructure, optimize cloud environments, and enable continuous delivery at scale.

About the role

My client develops a powerful AI-powered training and communication SaaS platform that gives frontline workers the knowledge they’re missing to drive measurable business performance. You will be a fully remote, hands‑on contributor on our client's Development Team, building features and products primarily across Agentic AI and backend services, with occasional contributions to frontend user interfaces when needed. This role takes clear ownership of well‑defined problems and delivers high‑quality solutions with confidence and independence. Working closely with peers across the Development Team, you will contribute to technical discussions, keep pace with a fast‑moving codebase, and bring genuine care for the craft to everything you build.

What You’ll Do

Design, develop, test, deploy, and support high‑quality code:
Building, running, and consuming MCP servers (tool design, auth/OAuth, multi‑tenant security, deployment)
Building LLM agents with tool/function calling and multi‑agent orchestration (e.g., A2A or similar)
Testing and evaluating agent behaviour, plus observability in production
Contribute to architecture and design discussions, and help evaluate trade‑offs around scaling, reliability, and maintainability.
Develop backend services in Python (for AI and Agent work) and Java (for integrating with our client's core platform), with attention to performance and data quality.
Use AI coding tools (e.g., Cursor, Claude Code, GitHub Copilot) as part of your daily workflow to improve productivity and code quality.
Participate in code reviews, giving and receiving feedback that improves the quality and consistency of the codebase.
Identify and flag technical debt, and contribute ideas for how to address it.
Break down development tasks into clear, manageable pieces and execute them reliably.
Collaborate with Product Management and Quality Assurance to refine requirements and ensure your work meets a high bar for quality.
Share what you’re learning — whether that’s a new pattern, a tool, or a better way of doing something — with the people around you.
Other relevant duties as required.

What We’re Looking For

Must‑Have Experience

Be based in Brazil, Colombia, the Dominican Republic, or Mexico.
Strong level of English, written and spoken.
4+ years of backend-heavy software development experience with Java and Python, with extensive usage of Agentic AI.
Solid experience in Java and Python, including working with data structures, relational databases, and SQL.
Hands‑on experience with AI coding assistants (such as Cursor, Claude Code, or GitHub Copilot) as part of a daily development workflow.
Familiarity with cloud platforms (especially GCP) and application infrastructure concepts — containers, caching, and distributed systems — is an asset.
Experience working with Microservices
Comfortable working independently on well‑defined problems and seeing them through to completion.
Strong attention to detail and a commitment to unit and functional testing.
Experience building AI‑driven applications, agentic products and features, working with LLMs, or using frameworks like LangChain or Google ADK:
Hands‑on production experience building, running, and consuming MCP servers, including tool design, auth/OAuth, multi‑tenant security, and deployment.
Building LLM agents with tool/function calling and multi‑agent orchestration (e.g., A2A or similar)
Testing and evaluating agent behaviour, plus observability in production
Computer Science, Engineering, or similar technical aptitude gained through post‑secondary education, hands‑on experience, or both.

Nice‑to‑haves