12 часов назад
Senior Engineer (Applied AI / ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineer (Applied AI / ML) (GenAI and LLM applications): Building production-ready agentic AI systems, retrieval architectures, and enterprise integrations with an accent on rapid prototyping, full-stack engineering, and rigorous evaluation. Focus on designing reliable multi-agent harnesses, hardening prototypes for production, and implementing observability, guardrails, and scalable cloud infrastructure.
Location: Remote within the USA; Austin, Texas or anywhere in the USA
Company
is a technology and business consulting company delivering software and applied AI solutions for Media & Entertainment, Consumer Packaged Goods, and Retail clients.
What you will do
- Facilitate client discovery workshops and identify, prioritize, and scope high-value AI opportunities.
- Translate business requirements into product requirements, technical specifications, and measurable prompt and evaluation criteria.
- Build working AI prototypes in 2–3 week cycles and evolve successful concepts into production-ready systems.
- Design single- and multi-agent systems with tool use, control loops, state management, planning, structured outputs, and failure recovery.
- Develop retrieval, grounding, RAG, semantic and hybrid search capabilities and integrate AI with enterprise APIs, data platforms, and workflows.
- Build evaluation, observability, safety, guardrail, and reliability frameworks for production AI systems.
Requirements
- 5+ years of software engineering or technical product engineering experience.
- 1+ year building and deploying Generative AI or LLM applications in production.
- Expert Python proficiency and strong software engineering fundamentals across frontend, backend, APIs, data infrastructure, and cloud deployment.
- Experience with REST, WebSockets, MCP, streaming APIs, and event-driven architectures.
- Deep expertise in retrieval systems, including embeddings, hybrid retrieval, metadata filtering, reranking, agentic search, and retrieval quality evaluation.
- Experience with AWS, GCP, or Azure; Docker, Kubernetes, and CI/CD automation.
Nice to have
- Experience in consultant delivery pods, client innovation labs, or large-scale enterprise AI/ML environments.
- Experience with Media & Entertainment, digital media supply chains, enterprise content automation, or multimodal media.
- Experience with LoRA/PEFT, dataset preparation, training pipelines, and model adaptation.
- Experience with Cursor, Codex, OpenCode, GitHub Copilot, or Claude Code for rapid prototyping.
Culture & Benefits
- Full-time remote work within the USA.
- Work with close-knit teams building custom software for complex client problems.
- Client-facing consulting environment with direct collaboration with business and product stakeholders.
- Opportunity to work across applied AI, software engineering, enterprise integration, and production operations.
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