Software Engineer – LLM & Agentic Systems

Overview

Software engineer with proven, hands-on experience developing software using Large Language Models (LLMs) and agent-based coding tools (e.g., Codex, Claude Code, or similar). This capability is mandatory and must be demonstrated.

The role combines traditional backend/software engineering with the design and orchestration of LLM-driven development workflows. The candidate must be capable of directing agents effectively to build, extend, and maintain production-grade systems. The position is on-site.

Responsibilities

LLM-Driven Development & Agent Orchestration

• Design and implement workflows using LLM-based coding agents.
• Drive software development through tools such as Codex, Claude Code, or equivalent.
• Define prompts, constraints, and system structures to ensure reliable agent output.
• Evaluate, debug, and refine agent-generated code.
• Establish best practices for agent-assisted development across the organization.

Backend & Service Development

• Design, develop, and maintain internal backend services.
• Implement APIs and service layers supporting internal platforms and tools.
• Work with databases (SQL/NoSQL), ensuring performance and reliability.
• Handle authentication and authorization mechanisms (e.g., OAuth, JWT, identity providers).

Infrastructure & Containerization

• Build and manage containerized applications (Docker-based environments).
• Support deployment workflows and service orchestration.
• Ensure services are scalable, maintainable, and secure.

Integrations & External Systems

• Integrate with third-party APIs and external platforms.
• Design robust data flows between internal systems and external services.
• Handle failures, retries, and monitoring of integrations.

LLM-Based System Integration

• Embed LLM capabilities into internal tools and services.
• Build agent-based systems for automation, data processing, and engineering workflows.
• Work on secure and controlled usage of LLMs (data handling, privacy, execution boundaries).

System Reliability & Maintenance

• Maintain and improve existing internal systems.
• Debug complex issues across services, integrations, and agent workflows.
• Implement logging, monitoring, and alerting where needed.

Requirements

Must Have

• 3–6 years of hands-on software development experience
• Proven, demonstrable experience developing software using LLMs
• Practical experience using agent-based coding tools (e.g., OpenAI Codex, Claude Code or equivalent)
• Strong backend development capability (Python, Node.js, or similar)
• Experience designing and building APIs (REST or similar)
• Solid understanding of databases (SQL and/or NoSQL)
• Experience implementing authentication and authorization (OAuth, JWT, etc.)
• Hands-on experience with Docker and containerized environments
• Ability to validate, debug, and correct AI-generated code
• Strong problem-solving and debugging skills
• Ability to work independently and structure ambiguous problems
• Professional level of English

Nice to Have

• Experience building agent-based or multi-agent systems
• Strong prompt engineering skills and LLM evaluation techniques
• Experience integrating LLMs into production systems
• Familiarity with CI/CD pipelines and DevOps practices
• Knowledge of system security and data protection practices
• Experience designing scalable distributed systems
• Exposure to internal developer platforms or tooling
• Experience optimizing developer workflows using AI tools