Forward Deployed AI Engineer

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gravity9

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51 - 200 Mitarbeiter

💼 Beratung

🏥 Gesundheitswesen

🏭 Fertigung

Consulting • Healthcare • Manufacturing

gravity9 ist ein Unternehmen für digitale Transformation, das sich auf die Modernisierung von Altsystemen spezialisiert hat, indem es modernste Technologien wie KI, Cloud-Computing und Microservices-Architektur nutzt. Sie bieten Lösungen an, um Organisationen ins digitale Zeitalter zu katapultieren, und verbessern dabei Agilität, Skalierbarkeit und wettbewerbsfähige Vorteile. Der Ansatz von gravity9 beinhaltet die Integration innovativer Ingenieurpraktiken, um Abläufe zu optimieren, technische Schulden zu reduzieren und digitale Infrastrukturen zukunftssicher zu machen. Sie konzentrieren sich auf eine strategische Modernisierung, die nicht nur die Einschränkungen von Altlasten überwindet, sondern auch Unternehmen befähigt, in der heutigen dynamischen Marktumgebung zu gedeihen.

Beschreibung

• Work embedded in the client's environment from discovery through architecture, build, production, and handover • Design and build production agentic AI systems for enterprise clients • Implement multi-agent orchestration, tool and function calling, retrieval, planning, routing, human-in-the-loop checkpoints, state management, guardrails, and failure recovery • Build ingestion and enrichment pipelines for structured and unstructured data, documents, PDFs, and object storage • Establish evaluation datasets, automate grading, and track groundedness, faithfulness, and retrieval quality • Optimize model selection, routing, prompt and context budgets, caching, cost, and latency • Deliver observability, tracing, CI/CD, infrastructure as code, monitoring, security, and compliance controls • Collaborate with client architects, DevOps, QA, and engineers in the client's codebase and cloud tenancy • Transfer knowledge through pairing, documentation, monitoring handover, and client enablement • Contribute to scoping, estimation, pre-sales, reusable assets, and interviewing as applicable to level

🎯 Anforderungen

• Strong Python, including async, typing, testing, and packaging • Working competence in TypeScript / Node is a plus • Hands-on production experience with frontier models, prompt and context engineering, structured outputs, tool and function calling, streaming, and token/context-window management • Experience building and shipping multi-agent or agentic workflows, planner/router patterns, supervisor and sub-agent designs, ReAct-style loops, state and checkpointing, retries, interrupts, and human-in-the-loop review gates • Experience with Anthropic Agent SDK, LangGraph, LlamaIndex, or an equivalent orchestration framework • Knowledge of chunking, embeddings, hybrid and semantic search, re-ranking, citation and provenance, and natural-language-to-query translation • Experience with NoSQL databases such as MongoDB or equivalent, plus SQL; ability to design schemas for agent retrieval • Experience building ingestion and enrichment pipelines over messy structured and unstructured sources • Experience building evaluation harnesses and datasets, LLM-as-judge systems, regression tests, and use-case-specific metrics • Production delivery on AWS including Bedrock, Azure, or GCP; containers, serverless, networking basics, secrets management, and IAM • Git, code review, testing, CI/CD, infrastructure as code, and observability • Mid FDE: 3+ years software engineering and 1+ year hands-on LLM/agentic work, including at least one production system • Senior FDE: 5+ years engineering and 2+ years AI or agentic AI, including end-to-end architecture ownership of a production agent system • Lead FDE: 7+ years, delivery-team leadership, engagement technical leadership, pre-sales, estimation, and mentoring • Client-facing credibility, technical and business communication, translation of business problems into technical designs, collaboration, ambiguity tolerance, production focus, teaching, ownership, commercial awareness, resilience, and clear written communication in English • Occasional travel • Anthropic certification is an advantage, not a requirement

🏖️ Vorteile

• Support for vendor certifications • Access to partner training programmes • Company-wide AI tooling as part of how we work day to day