AI Developer - Resiliency & Analytics

• Design, build, fine-tune, and evaluate LLM-based solutions for cyber resiliency and infrastructure analytics.
• Develop retrieval-augmented generation (RAG) pipelines for contextual analysis.
• Analyze infrastructure logs, security alerts, and incident records to identify anomalies and resilience gaps.
• Support incident triage, root cause analysis, and dependency mapping.
• Build and maintain data pipelines to ingest and process large volumes of infrastructure and cybersecurity data.
• Develop and deploy production-grade AI services and APIs using secure software engineering practices.
• Monitor model performance, drift, accuracy, and usage.
• Ensure AI solutions meet security, privacy, and model governance requirements.

We are seeking an experienced AI Developer to design, build, and deploy LLM-enabled solutions that analyze data related to cyber resiliency infrastructure. This role will use AI, machine learning, and large language models to detect patterns, surface risks, and improve decision-making. The ideal candidate will combine software engineering and AI/ML expertise with experience in cybersecurity, infrastructure telemetry, and operational resilience. There is also an interest in developing small language models that can operate in an isolated environment., Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Cybersecurity, Engineering, or a related field.

Experience: Proven experience in AI/ML development, with hands-on work in LLMs, NLP, or generative AI applications. Experience building data pipelines and working with large-scale data platforms is required, as is experience with APIs, microservices, and production deployment patterns.

Technical Skills:

• Programming languages including Python and SQL.
• AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, or LangChain.
• Understanding of cybersecurity and infrastructure concepts, including logs, vulnerabilities, incident response, cloud infrastructure, and operational resilience.

Preferred Qualifications

• Experience fine-tuning or adapting open-source or proprietary LLMs for enterprise use cases.
• Experience with RAG, vector databases, and semantic search architectures.
• Familiarity with cyber tooling such as SIEM, EDR, vulnerability management, CMDB, and ITSM systems.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Knowledge of infrastructure resilience, high availability, and service continuity concepts.
• Experience with model security, AI risk controls, or responsible AI practices.
• Familiarity with containerization technologies like Docker and Kubernetes.
• Experience with graph analytics, anomaly detection, or time-series analysis for infrastructure data.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

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