Forward Deploy Engineer

Job location- Forward Deploy Engineer

Location- Atlanta, GA

Salary Range- 60k to 70k

Job Description

Role Overview and Key Responsibilities
Forward Deployed Engineers (FDEs) work as embedded engineers within customer teams, contributing to the development and deployment of AI-driven applications. In this role, you will actively support the delivery of functional solutions while continuously improving them based on real-time user feedback.

Collaborate with client teams and internal stakeholders to understand requirements and contribute to solution development
Support the development of AI-powered applications, assisting in transitioning solutions from prototype to production-grade systems
Contribute to building integrations between AI services and enterprise systems such as APIs, data platforms, and legacy applications
Assist in implementing agentic AI workflows, including gaining exposure to multi-agent systems and orchestration frameworks
Participate in developing data pipelines for structured and unstructured data, including exposure to vector databases and RAG-based architecture
Support the creation of evaluation and observability frameworks to monitor system performance (accuracy, latency, cost)
Work closely with senior engineers to debug issues, resolve integration challenges, and improve system reliability
Learn and follow engineering best practices, including code quality, testing, and deployment standards

Qualifications and Specialization

Bachelor’s or Master’s degree in Computer Science, Information Technology, AI/ML, or Data Science
Strong foundation in full-stack development using languages such as Python, Java, Go, and JavaScript (Node.js)
Hands-on experience with AI-assisted coding tools
Solid understanding of AI/ML concepts, including Large Language Models (LLMs) and Generative AI
Familiarity with hyperscale cloud platforms (e.g., GCP, AWS, Azure)
Solid understanding of APIs, databases, data structures, and design patterns
Excellent communication and collaboration skills
Strong problem-solving ability with a willingness to learn in a fast-paced environment

Unique Experience from this Role

Opportunity to work as an embedded engineer within real customer environments, gaining exposure to enterprise-scale AI deployments
Hands-on experience in building cutting-edge AI / Gen AI solutions in production settings
Exposure to solving real-world challenges such as integration complexity, data readiness, and system scalability
Opportunity to collaborate directly with client engineering teams, gaining practical industry experience
Participation in a high-impact ecosystem that influences future AI solution patterns and reusable frameworks

Learning Outcomes

Enhance collaboration, communication, and stakeholder engagement skills
Gain end-to-end understanding of the AI solution lifecycle: from design to deployment and optimization
Develop hands-on skills in agentic AI, RAG pipelines, and multi-agent systems
Learn to build and deploy applications on cloud-native platforms
Understand observability, evaluation metrics, and performance optimization for AI systems
Build strong fundamentals in enterprise integration and scalable system design
Prepare for progression into a full-fledged Forward Deployed Engineer role