AI/ML Engineer
Build and ship production AI/ML systems for real-time incident management, including LLM agents, retrieval pipelines, and inference services. The role suits an early-career software engineer with 2+ years of production experience and hands-on experience with modern AI.
About the job
Responsibilities
- Contribute to AI-powered features, including LLM agents, retrieval, and event intelligence, operating on high-volume, real-time data.
- Build and maintain prompt and agent orchestration, retrieval pipelines, tool and API integrations, and inference services.
- Write code, add tests, and improve observability for AI-powered systems.
- Analyze and improve latency, throughput, cost, and reliability of LLM-powered services.
- Move AI features from prototype toward production and support evaluation and monitoring loops.
- Partner with platform, product, and applied-research teams to turn requirements into working code.
- Develop through code review, pairing, mentorship, and increasing ownership.
Requirements
- 2+ years of software engineering experience building and shipping production software.
- Degree in computer science or a related field, or equivalent practical experience.
- Strong programming fundamentals and comfort with application and AI/model code.
- Hands-on experience building with LLMs, prompting, retrieval, or agent frameworks.
- Some exposure to distributed systems and reliable software at scale.
- Strong communication and collaboration skills.
Nice-to-haves
- Personal, academic, or internship projects involving LLM applications, agents, RAG, or backend services.
- Exposure to AWS, Google Cloud, Azure, containers, or Kubernetes.
- Familiarity with LLM APIs, LangChain, LlamaIndex, vector databases, Kafka, or Airflow.
- Interest in agentic systems, LLM evaluation and guardrails, anomaly detection, or event correlation.
- Open-source contributions.
Compensation and Benefits
- Competitive salary.
- Comprehensive benefits package.
- Flexible work arrangements.
- Company equity and ESPP eligibility may apply.
- Retirement or pension plan.
- Paid vacation, holidays, and sick leave.
- Wellness days and companywide paid days off.
- Paid parental leave, subject to local laws.
- 20 hours of paid volunteer time off per year.
- Company-wide hack weeks and mental wellness programs.
- Eligibility varies by role, region, and tenure.
Skills
LLMs, AI Agents, Retrieval-Augmented Generation, Prompt Engineering, Distributed Systems, Kubernetes, AWS, GCP, Azure, LangChain, Llamaindex, Vector Databases, Kafka, Airflow, Python
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