Associate Software Engineer (AI Engineering)

Ensign is hiring !

Software Engineer, AI Engineering, Consulting
Duties and Responsibilities
1. System Design and Development
Design and implement backend microservices in languages such as Python and Go for orchestrating autonomous agents and workflow automation.
Develop frontend interfaces and dashboards using languages and frameworks such as TypeScript, React, Next.js, and Tailwind CSS to manage, visualise, and report testing activities.
Ensure system scalability, performance, and maintainability through robust architecture, modular design, and efficient code practices
2. AI and Agent Integration
Integrate LLM-based automation and reasoning components into penetration testing workflows
Develop prompt orchestration, model chaining, and contextual reasoning capabilities for AI agents
Work with AI researchers to translate prototype logic into production-ready components and APIs
Incorporate AI security considerations into design and development of AI agents, MCP tools and other APIs
Support secure operation of the AI platform through logging, monitoring, and sandbox isolation mechanisms
3. Quality and Compliance
Adhere to best practices for software development lifecycle (SDLC) standards and documentation requirements
Ensure code quality through automated testing, code reviews, and version control practices
Comply with cybersecurity and data protection requirements in all development activities
Requirements
Minimum Requirements
Minimum 2+ years of professional experience in full-stack or backend software engineering roles
Backend Development experience with Python, Golang, or other similar languages.
Experience with frontend frameworks (React, Next.js) and languages (TypeScript, CSS).
Proficiency with Linux environments and command-line tools.
Strong analytical thinking and exceptional attention to details.
Understanding of offensive security, penetration testing methodologies, or cybersecurity frameworks such as MITRE ATT&CK or OWASP
Nice to Haves
Experience with AI development tools such as Cursor, GitHub Copilot, or Claude.
Hands-on experience integrating and deploying AI applications using foundation model APIs and inference services, including OpenAI, Anthropic, and local/self-hosted LLM providers.
Demonstrated experience deploying applications to production environments (with Docker / Kubernetes), and modern CI/CD pipelines.
Familiarity with cloud platforms (AWS, GCP, or Azure) and database systems (PostgreSQL, MySQL, etc)
Exposure to AI agent frameworks (Agno, Claude Agent SDK), LLM orchestration, or prompt engineering
Experience in event-driven architecture or distributed systems
Knowledge of secure coding practices and DevSecOps principles
Prior work in cybersecurity, AI or adjacent domains.