Senior Staff Developer - AI
Arctic Wolf3 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Design, develop, and optimize agentic AI frameworks for reasoning, planning, orchestration, tool usage, and autonomous task execution.
- Build reusable agent architectures, multi-agent workflows, orchestration patterns, state and memory management, tool calling, routing, and human-in-the-loop workflows.
- Develop evaluation frameworks and observability capabilities to measure agent behavior, reasoning quality, tool usage, task completion, reliability, latency, accuracy, and cost.
- Integrate large language models, machine learning models, retrieval systems, tools, APIs, and enterprise services into production agentic workflows.
- Create AI-powered automation for complex Security Operations Center processes and cybersecurity workflows.
- Research emerging agentic AI techniques and convert successful prototypes into production-ready framework capabilities.
- Establish engineering patterns for prompt orchestration, context management, guardrails, error handling, evaluation, and autonomous decision-making.
- Provide technical leadership through architecture discussions, code reviews, mentoring, technical design, and engineering standards.
- Drive large-scale technical initiatives from concept and architecture through implementation, evaluation, production adoption, and continuous optimization.
Requirements
- At least 14 years of experience in software engineering, AI engineering, machine learning engineering, or related technical development roles.
- Deep hands-on experience designing and developing AI agents, agentic workflows, or intelligent automation systems.
- Strong experience with agentic frameworks such as LangChain, LangGraph, LangSmith, Semantic Kernel, or similar technologies.
- Strong programming experience in Python, Go, or similar languages, including independently designing, debugging, and optimizing production-quality software.
- Experience with large language models, prompt engineering, tool calling, retrieval-augmented generation, agent orchestration, context management, and autonomous task execution.
- Experience developing evaluation strategies and frameworks for AI applications.
- Strong understanding of distributed systems, APIs, event-driven workflows, data processing, and software design patterns.
- Experience taking AI prototypes from experimentation through production deployment and continuous optimization.
- Demonstrated success leading complex technical initiatives, influencing architecture, establishing engineering practices, mentoring engineers, and influencing technical direction.
- Preferred experience with multi-agent systems, Mixture of Experts architectures, Model Context Protocol, agent evaluation and observability, AI/ML operations, cybersecurity workflows, guardrails, validation, and human-in-the-loop controls.
- Strong communication, collaboration, and problem-solving skills.
Benefits
- Equity for all employees.
- Flexible annual leave, paid holidays, and volunteer days.
- Training and career development programs.
- Comprehensive private benefits including medical insurance for employees and families, life insurance, and personal accident insurance.
- Fertility support and paid parental leave.
- Remote interview candidates are expected to be on camera during video interviews, with accommodations for notified technical, bandwidth, or location challenges.
- Background checks are required, and the role may involve United States export-controlled information.
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