Forward Deployed AI Engineer

🕒 February 26

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Tribe AI

Tribe AI

51 - 200 employees

🤖 Artificial Intelligence

🏢 Enterprise

🤝 B2B

Artificial Intelligence • Enterprise • B2B

Tribe AI is an enterprise AI consultancy and product studio that builds custom generative AI solutions and end-to-end AI products for large organizations. They combine a network of 600+ AI engineers and product leaders, partnerships with OpenAI/Anthropic/AWS, and domain experience to deliver rapid prototyping, production deployments, and measurable business outcomes across industries like financial services and healthcare.

📋 Description

• 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.

🎯 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.

Apply Now

Similar Jobs

🕒 February 25

Fastino Labs

11 - 50

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

AI Engineer at Fastino focused on developing and deploying efficient, high-performance AI solutions. Collaborating with engineering teams to operationalize innovative AI architectures for enterprise clients.

Kubernetes

Microservices

🕒 February 25

CoreStory

51 - 200

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

AI Engineer developing intelligent systems blending LLMs and conversational agents at CoreStory. Collaborating on enhancing AI capabilities in a scalable narrative intelligence platform.

🇺🇸 United States – Remote

🔥 Funding within the last year

💰 $32M Series A on 2025-11

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

AWS

Azure

Cloud

Docker

Neo4j

Numpy

Pandas

Python

🕒 February 25

Bio Protocol

11 - 50

🧬 Biotechnology

₿ Crypto

🤖 Artificial Intelligence

As an AI Engineer, design and build AI systems that power biotech research at Bio. Collaborate with scientists and engineers for impactful AI solutions.

AWS

Azure

Cloud

Docker

Google Cloud Platform

GraphQL

GRPC

Kubernetes

Python

Terraform

TypeScript

🕒 February 25

EBizCharge

201 - 500

💳 Fintech

☁️ SaaS

🤝 B2B

Senior AI Developer at EBizCharge designing and maintaining secure MCP Servers for AI assistants. Collaborating with cross-functional teams to integrate AI capabilities within payment solutions.

AWS

Azure

Cloud

Docker

Flask

Google Cloud Platform

Keras

Kubernetes

Python

PyTorch

Scikit-Learn

SQL

Tensorflow

.NET

🕒 February 22

Penn Mutual

1001 - 5000

Senior Staff AI Engineer at Penn Mutual designing scalable AI solutions. Collaborating with teams to advance AI strategies and maintain performance standards.

AWS

Cloud

Microservices