AI
Aleph Group, IncAI Architect
Lead AI Architect responsible for strategy and execution of AI systems at Aleph. Shaping future digital advertising through innovative AI - powered products.
About the role
- Build and ship LLM-powered systems that reduce toil, accelerate remediation, and improve decision-making in operations contexts
- Design and maintain evaluation frameworks: hallucination tests, regression harnesses, benchmarks, and quality gates for safe rollout
- Develop retrieval-augmented pipelines (RAG) and data strategies for grounding on logs, telemetry, runbooks, and system metadata
- Engineer AI copilots and natural-language interfaces to interact with operational data and workflows
- Create frameworks for large-scale automation such as safe code migration and transformation pipelines
- Apply adaptive AI techniques to optimize system configurations, predict anomalies, and recommend preventive actions
- Partner across teams — collaborate with AI Platform (inference/serving), SRE/Infra/Data Service/DC (operational context), and Security (safe usage)
- Implement guardrails and safety systems: prompt injection defenses, PII filtering, constrained decoding, and model observability
- Build developer-facing SDKs and APIs in Python/Go and intuitive UIs in JavaScript/React for human-in-the-loop workflows
- Leverage modern orchestration frameworks (LangChain, LangGraph, MCP, semantic routers) to coordinate multi-step, tool-augmented workflows
Requirements
- 6+ years of total experience in development with strong programming skills in JS, Python or Go
- Proven experience shipping LLM-based systems into production with measurable impact
- Expertise in evaluation and testing of LLMs (benchmarks, hallucination/regression tests, grounding metrics)
- Hands-on experience with LLM orchestration frameworks: LangChain, LangGraph, MCP, agent frameworks, or equivalent
- Deep understanding of RAG pipelines: embeddings, retrieval quality metrics, re-ranking, and grounding precision/recall
- Ability to translate ambiguous operational problems into AI-first solutions with clear KPIs
- Experience building AI copilots/assistants for engineers
- Frontend development in JavaScript/React for lightweight human-in-the-loop tooling
- Exposure to inference optimization and serving, partnering with platform teams on latency, scaling, and resilience
- Bonus: Experience with fine-tuning/adapters (LoRA, QLoRA, continual learning) and safety tuning
- Knowledge of reinforcement learning, adaptive systems, or optimization methods
Benefits
- Remote-friendly and flexible work culture
- Market leader in compensation and equity awards
- Comprehensive physical and mental wellness programs
- Competitive vacation and holidays for recharge
- Paid parental and adoption leaves
- Professional development opportunities for all employees regardless of level or role
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
- Vibrant office culture with world class amenities
- Great Place to Work Certified™ across the globe
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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