Posted today · be early
Senior AI Systems Engineer
Swimlane LLC
IndiaremotePosted today
Skill Required
AI-EngineerSenior-AI-EngineerAI-Systems-EngineerMachine-Learning-EngineerSoftware-EngineerSenior-AI-Software-EngineerSenior-AI-EngineeringSenior-Software-AI-EngineerSenior-AI-Platform-EngineerSenior-AI-Infrastructure-EngineerAI-ML-Systems-EngineerAI EngineerAIsoftware engineeringSOCEngineeringR ProgrammingTypeScriptautomationdesigningsecuritybuildingEmbedded CPythondesignGit.NETCloudRustRAGAWSandGenerative AIFulltime
Key highlights
- Required experience: 8+ years software engineering
- Key requirement: 1-2 years applied AI (multi-agent systems/chatbots)
- Benefit: Stock Options
- Notable requirement: Expertise in .NET, TypeScript or Python
- Notable requirement: AWS Bedrock strongly preferred
Role overview
Swimlane is redefining security operations with Agentic AI automation. They are seeking a Principal AI Systems Engineer to act as a pathfinder and shape the next generation of AI SOC capabilities in the Swimlane Turbine platform. This position sits within Data Science but is fundamentally a software engineering and integration role—not a model-training role. The successful candidate will drive the transition from single-prompt features to robust multi-agent systems and intelligent customer-facing security chatbots.
Responsibilities
- Drive Architectural Change: Lead the technical strategy and hands-on execution for building production-grade multi-agent systems and security chatbots.
- Scale Our Capabilities: Act as an accelerator for the team, taking ownership of new AI feature development so we can keep pace with rapidly growing product demands.
- Build Applied LLM Workflows: Design secure, maintainable workflows using for AI SOC use cases like alert triage, summarization, and workflow automation.
- Own Evaluation (Evals): Create test sets, define success metrics (accuracy, faithfulness, latency), and run regression tests before and after changes for your features.
- Monitor Production Behavior: Debug hallucinations and systematically reduce failure modes through better retrieval, prompting, and guardrails (not just "tweak the temperature").
- Establish Engineering Standards: Define robust patterns for context engineering, tool design, retrieval, and harness engineering to ensure our agents are rigorously evaluated for quality and safety.
- Champion Security-First AI: Ensure data privacy, access controls, and prompt injection defenses are embedded deeply into our multi-agent architectures.
- Collaborate Cross-Functionally: Work seamlessly across Data Science, Engineering, Product, and Platform teams to guide emerging AI capabilities from prototype to production.
Requirements
- 8+ years of professional software engineering experience, with a strong foundation in designing and operating reliable, production-grade systems.
- Programming Languages: Expertise in .NET, TypeScript or Python is expected.
- 1–2 years of hands-on applied AI experience specifically focused on building multi-agent systems, chatbots, tool-using agents, or AI-powered automation.
- Cloud-Native AI Expertise: Practical experience using cloud AI services (AWS Bedrock strongly preferred) and LLM provider SDKs (such as Claude AgentSDK).
- Core AI Technical Depth: Proven understanding of enterprise RAG systems, Model Context Protocol (MCP) tool integrations, context engineering, and harness engineering for evaluations.
- Project Leadership: A track record of driving complex technical projects and influencing architectural decisions in a fast-paced, low-bureaucracy environment.
- Security Mindset: Strong grasp of AI security frameworks, data privacy
Nice to have
- Experience building security automation, SOAR, SOC, threat intelligence, detection engineering, or incident response products.
- Familiarity with AI security frameworks, prompt injection defenses, agent sandboxing, policy-based tool control, or AI governance practices.
- Experience building evaluation harnesses for AI quality, latency, cost, safety, and reliability.
- Experience using AI coding tools such as Cursor, Claude Code, GitHub Copilot, or similartools in real engineering workflows.
Benefits
- Competitive Benefits & Compensation
- Stock Options
- Training & Professional Development Opportunities
- MacBook Pro
- Great Company Culture
- Give-back Volunteering Opportunities
Additional details
- Core values: Punch above your weight class, Be a happy innovator, Always be leveling up, Move at the speed of WOW, Have honesty and integrity in ‘all the things’.
- Headquartered in Denver, Colorado, with staff spanning 28 states and 23 countries.
- Originally posted on Himalayas