Building AI products for leading enterprises.
Forward Deployed AI Engineer
Location
United States
Posted
101 days ago
Salary
0
Seniority
Senior
Job Description
Forward Deployed AI Engineer
Tribe AI
• Work side by side with clients, PMs, and Architects to scope and deploy AI systems that actually solve problems. • Build and integrate systems using LLMs, RAG pipelines, agent frameworks, vector DBs, and related tools. • Navigate real-world challenges: data access, authentication, security, networking, and brittle enterprise environments. • Translate high-level designs into working components that deliver measurable outcomes. • Debug relentlessly - optimize for reliability in production, not just elegance in code. • Write modular, reusable code that balances speed of delivery with long-term maintainability. • Embed with client engineering teams to accelerate adoption and integration. • Share insights from field implementations to inform reusable components in our platform. • Document decisions with clarity so both clients and internal teams can build on your work.
Job Requirements
- 5+ years of engineering experience, with proven work shipping AI/ML systems into production.
- Strong Python skills and deep familiarity with modern AI/ML frameworks (LangChain, LlamaIndex, Hugging Face, vector DBs).
- Hands-on with cloud deployment, orchestration, CI/CD, and distributed environments (AWS, Azure, GCP).
- Ability to debug gnarly real-world issues (auth failures, networking black holes, flaky data pipelines).
- Problem-solver who thrives in ambiguity, focused on delivery and reliability over process and ceremony.
- Comfortable in client-facing environments - credible with engineers, clear with executives.
Benefits
- Impact: Ship AI systems that don’t just demo well but run at scale in Fortune 500 enterprises.
- Growth: Stay hands-on with cutting-edge frameworks while developing field-tested instincts.
- Variety: Solve problems across industries, from finance to healthcare to defense.
- Culture: Work in a team that prizes resilience, creativity, and winning over process.
- Trajectory: Build both your technical and consulting muscles in one of the most demanding roles in AI delivery.
Related Guides
Related Job Pages
More AI Engineer Jobs
• Architect classical and AI powered solutions that are robust, scalable, and thoroughly tested. Contribute directly to expanding the functionality and performance of our code base. • Collaborate with our Product and Design teams to evolve our platform roadmap, ensuring product goals are translated into tractable features that appropriately reflect our application's data model and capabilities. Identify capacity constraints to inform development sequencing and prioritization. • Lead technical architecture decisions for AI features, balancing research ambitions with production reliability • Establish evaluation frameworks and best practices for working with large language models in high-stakes, accuracy-critical domains • Act as a multiplier for the engineering team through hands-on mentoring, deep code reviews, and technical training on AI skillsets
Role Description Estamos procurando um(a) Full Stack Developer altamente qualificado(a), com experiência prática no desenvolvimento de aplicações habilitadas por IA e sistemas de automação. O perfil ideal deve ter domínio em tecnologias de front-end e back-end, capacidade de arquitetar soluções escaláveis e experiência em integração de sistemas utilizando SDKs, atuando em um ambiente multifuncional. Qualifications - Experiência comprovada como Full Stack Developer. - Forte domínio em frameworks de front-end e back-end (ex.: Python, Amazon Web Services, Microsoft Azure, Java ou similares). - Experiência prática com tecnologias de IA/ML, como: - integração de modelos - APIs de IA - ferramentas para LLMs - pipelines de machine learning - Experiência no uso de IA para produtividade e eficiência por meio de componentes inteligentes. - Essencial: experiência prática na construção de MCPs e Agents. - Forte entendimento de sistemas de automação, orquestração de workflows e integração entre sistemas. - Experiência com integrações baseadas em SDK. - Sólido conhecimento em plataformas cloud (Microsoft Azure e Amazon Web Services). - Capacidade de depurar sistemas complexos e entregar soluções resilientes e escaláveis. - Excelente comunicação e habilidade de colaboração. Requirements - Projetar, desenvolver e manter aplicações web escaláveis, incluindo desenvolvimento back-end. - Desenvolver código limpo e de fácil manutenção, contribuindo para decisões arquiteturais em aplicações novas e existentes. - Implementar MCPs, Agents, APIs, SDKs e serviços que suportem integração escalável entre sistemas. - Criar, projetar e implementar sistemas de automação para simplificar processos e melhorar a eficiência operacional entre plataformas. - Desenvolver funcionalidades, modelos ou integrações baseadas em IA para ampliar capacidades dos produtos e resultados de automação. - Identificar, analisar e solucionar problemas em sistemas automatizados, garantindo operação confiável e estável. - Trabalhar em conjunto com product owners, engenheiros e outras equipes internas para alinhar abordagens de automação dentro de um SDK pré-definido. - Garantir integração fluida entre sistemas, camadas de automação e ferramentas parceiras. - Colaborar em roadmaps de funcionalidades, arquitetura de aplicações e planejamento de escalabilidade.
• Be the AI engineering technical authority • Drive the architecture and implementation of three concurrent projects: Automated PR Review, Android and API Test Automation, AI Agent Swarms • Evangelize by shipping, not by presenting • Measure everything
Senior AI Application Developer – Azure, AWS
ErbisWe help SaaS vendors scale their businesses and disrupt the market.
• Design, develop, and deploy AI-powered applications using Microsoft Azure or AWS technologies • Identify and evaluate opportunities for applying generative AI and other AI technologies to real business challenges • Collaborate with business teams to define AI use cases, success metrics, and ROI • Build scalable, maintainable, and secure AI solutions within Microsoft stacks • Stay up-to-date with AI trends and emerging technologies, recommending innovative solutions where applicable • Document architectures, workflows, and AI models for internal knowledge sharing and handoff



