Artificial Intelligence Engineer

Apexon
RemoteFull-timePosted Aug 27, 2026

About the role

AI Engineer

Remote

Roles and Responsibility:

5+ years of software development in one or more languages (Python, C/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred.

3+ years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows.

Practical experience with Large Language Models (LLMs): API integration, prompt engineering, fine-tuning/adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution).

Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude).

Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions.

Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact.

Preferred: Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform/CloudFormation).

Responsibilities

  • 5+ years of software development in one or more languages (Python, C/C++, Go, Java)
  • 3+ years designing, architecting, testing, and launching production ML systems
  • Practical experience with Large Language Models (LLMs)
  • Understanding of different LLMs, both commercial and open source
  • Strong analytical problem-solving and ownership

Qualifications

  • Proficiency building and operating on cloud infrastructure (ideally AWS)
  • Experience with containerized services (ECS/EKS) and serverless (Lambda)
  • Knowledge of data services (S3, DynamoDB, Redshift) and orchestration (Step Functions)
  • Experience with model serving (SageMaker) and infra-as-code (Terraform/CloudFormation)

Skills mentioned

PythonMachine LearningModel DeploymentModel MonitoringData PipelinesLarge Language ModelsRetrieval-Augmented GenerationPrompt EngineeringFine-TuningAI Agents

About Apexon

Apexon is an AI-first technology services firm that engineers intelligent enterprises. Our interconnected disciplines of Domain & Strategy, Cognitive Architecture, and Harness Engineering guide every engagement, helping clients deliver meaningful business outcomes while applying collective intelligence to confidently scale from early AI strategies to enterprise-grade production systems. For over three decades, we have helped organizations by leveraging our deep and practical expertise in Artificial Intelligence, Data & Analytics, Digital Engineering, and Experience, combined with our industry knowledge across Banking & Financial Services, Healthcare and Life Sciences to create lasting business value. Apexon is backed by Goldman Sachs Asset Management and Everstone Capital.

IT Services and IT Consulting5,001-10,000 employeesSanta Clara, California