Forward Deployed AI Engineer

This is a fully remote position, open to applicants in United States, +2 more countries.

📋 Description

• Engage directly with clients to architect, construct, implement, and scale enterprise AI solutions.

• Create, implement, and launch production-ready AI applications, copilots, retrieval systems, and automated workflows.

• Convert business challenges into scalable technical solutions utilizing contemporary AI engineering methodologies.

• Design backend services, APIs, and application architectures to integrate AI functionalities into enterprise systems.

• Develop multi-agent systems, AI agents, automation workflows, and decision-support systems.

• Implement AI solutions in production with an emphasis on security, observability, monitoring, evaluation, and governance.

• Create AI systems that integrate seamlessly with enterprise data platforms, APIs, databases, messaging systems, and business applications.

• Collaborate effectively with engineering, data, product, architecture, security, and business stakeholders.

• Deploy and manage containerized applications on Kubernetes, focusing on scaling, service networking, resource management, and production monitoring.

• Contribute reusable accelerators, frameworks, technical assets, and thought leadership to the AI Engineering discipline.

• Keep abreast of emerging AI technologies and propose strategies that enhance client outcomes.

⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related practical field.

• Over 3 years of professional software engineering experience in developing production applications.

• At least 1 year of experience in designing and deploying AI or machine learning solutions in production settings.

• Proficient in programming languages such as Python, Java, C#, Go, TypeScript, or similar.

• Experience in building scalable backend systems, APIs, or distributed applications.

• Skilled in developing AI applications utilizing modern LLMs, machine learning models, or intelligent automation solutions.

• Familiarity with online and offline evaluation, observability, context engineering, guardrails, and AI governance.

• Knowledge of MLOps, LLMOps, or production deployment pipelines.

• Strong grasp of software engineering principles, including testing, version control, CI/CD, code reviews, and system design.

• Experience using tools like Claude Code, OpenAI Codex, Google Antigravity, Cursor, GitHub Copilot, or similar coding platforms.

• Proven experience in integrating AI applications with enterprise data sources, APIs, and business systems.

• Familiarity with cloud platforms like AWS, Azure, GCP, Databricks, Snowflake, or similar technologies.

• Experience deploying applications using containers, Kubernetes, serverless platforms, or other cloud-native solutions.

• Excellent communication skills with both technical and non-technical stakeholders.

• Capability to independently manage technical workstreams while collaborating across diverse teams.

• Preferred: experience with production APIs using FastAPI, Flask, Spring Boot, .NET, or Express.

• Preferred: familiarity with multi-agent systems, AI automated workflows, agents, semantic search, vector databases, or knowledge graph retrieval applications.

• Preferred: experience in distributed systems, concurrency, or high-scale cloud applications.

• Preferred: AI solutions catering to 1000+ users.

• Preferred: consulting experience or direct engagement with enterprise customers.

• Preferred: expertise in data pipelines, including ETL, ELT, batch, and streaming pipelines.

• Preferred: experience in pre-training or fine-tuning LLMs.

🏝️ Benefits

• Full-time employment.

• Remote work opportunities available within the US, Colombia, and the UK.

• Applicants in Atlanta may have the option to work at headquarters located in Sandy Springs, Georgia.