Forward Deployed AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and launch production-ready AI applications, copilots, retrieval systems, and agentic workflows.

• Convert business challenges into scalable technical solutions by leveraging modern AI engineering methodologies.

• Create backend services, APIs, and application architectures that integrate AI with enterprise systems.

• Construct multi-agent systems, AI agents, workflow automation, and decision-support frameworks.

• Implement AI solutions in production environments with a focus on security, observability, monitoring, evaluation, and governance.

• Connect AI systems with enterprise data platforms, APIs, databases, messaging systems, and business applications.

• Collaborate with client engineering teams, data professionals, product managers, architects, security experts, and business stakeholders.

• Deploy and manage containerized applications on Kubernetes, including 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 equivalent hands-on experience.

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

• More than 1 year of experience in designing and deploying AI or machine learning solutions into production environments.

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

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

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

• Knowledge of online and offline evaluation, observability, context engineering, guardrails, and AI governance.

• Experience with MLOps, LLMOps, or production deployment pipelines.

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

• Proficient in using Claude Code, OpenAI Codex, Google Antigravity, Cursor, GitHub Copilot, or similar coding tools.

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

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

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

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

• Ability to independently manage technical workstreams while collaborating with multidisciplinary teams.

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

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

• Preferred: Familiarity with distributed systems, concurrency, or high-scale cloud applications.

• Preferred: Experience with AI solutions serving over 1000 users.

• Preferred: Background in consulting or enterprise customer engagement.

• Preferred: Experience with data pipelines, including ETL, ELT, batch, and streaming pipelines.

• Preferred: Experience with pre-training or fine-tuning LLMs.

🏝️ Benefits

• Full-time remote work opportunities available within the US.

• Atlanta-based applicants have the chance to work at the headquarters located in Sandy Springs, GA.