Senior Staff Developer - AI
Arctic Wolf2 months 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.
Categories
About Arctic Wolf
Arctic Wolf provides security operations delivered as a service for organizations, using its cloud-native Aurora platform and a Concierge Security Team for 24x7 monitoring, detection, and response. Its subscription offerings include Managed Detection and Response (MDR), Managed Risk, Security Awareness, and Incident Response. The company is privately held, headquartered in Eden Prairie, Minnesota, and raised a Series E+ round in 2021.