Research and develop AI-powered solutions based on defined requirements and technical designs.
Build and enhance cybersecurity tools and processesincluding Cyber Detection, Response, and Recovery (CDRR) systemsusing AI/ML.
Contribute to the creation of documentation, support procedures, and operational runbooks for handoff to SRE and operations teams.
Enforce secure software development lifecycle (SDLC) best practices throughout the development process.
Continuously investigate emerging technologies and methods to improve system resilience, presenting findings for architectural review.
Job Requirements
3 -10 years experience with Generative AI and LLM techniques (e.g., fine-tuning, distillation, Retrieval-Augmented Generation, Model Compression/Pruning (MCP), Agent-to-Agent communication (A2A)).
Solid understanding of AI/ML fundamentals and algorithmic models. Experience with AI/ML frameworks such as PyTorch, LangChain, or similar.
Experience in data processing and proficiency in Python programming are essential.
Familiarity with test-driven development (TDD).
Hands-on experience with CI/CD tools (e.g., Git, Jenkins, TeamCity).
Experience working with databases (RDBMS, NoSQL, or graph databases).
Scripting experience using Shell, Regular Expressions, etc.
Working knowledge of Linux environments
Experience with Agile methodologies (e.g., sprint planning, stand-ups, retrospectives).
Exposure on infrastructure tools and platforms such as Docker, Kubernetes, Ansible, Splunk for security observability, Public Cloud (e.g., AWS, Azure, GCP).
A collaborative mindset with strong problem-solving skills.
Excellent verbal and written communication, capable of translating technical ideas across teams.
