[Remote] AI Platform Engineer
Note: The job is a remote job and is open to candidates in USA. Annapurna is seeking a senior AI Platform Engineer who will be responsible for designing, building, and scaling production-grade AI solutions across the organization. The role involves developing AI agents, reusable components, and enterprise AI capabilities, while collaborating with various teams to implement AI strategies effectively.
Responsibilities
- Design, build, and deploy production AI agents and AI-powered services
- Develop reusable AI components, frameworks, and workflows that can be leveraged across teams
- Prototype, validate, and productionize AI use cases from concept through deployment
- Create and maintain reference architectures and implementation patterns
- Integrate and optimize Large Language Models (LLMs) within enterprise applications
- Design and implement Retrieval-Augmented Generation (RAG) architectures and pipelines
- Develop prompt engineering frameworks, prompt versioning, testing, and evaluation processes
- Build agentic workflows and multi-step AI systems using orchestration frameworks
- Support engineering teams in implementing AI capabilities within their products and services
- Partner with development squads to accelerate AI adoption and best practices
- Contribute to AI-driven software development initiatives across the organization
- Help define and evolve AI engineering standards through practical implementation experience
- Establish AI observability, monitoring, evaluation, and performance measurement capabilities
- Implement AI cost tracking, governance, and operational controls
- Improve reliability, scalability, and maintainability of AI systems
- Support production troubleshooting and continuous optimization of AI solutions
- Work closely with the AI Platform Architect to align implementations with the broader AI strategy
- Collaborate with Compliance and ARX PS teams to ensure responsible and compliant AI deployment
- Co-own AI workflow platforms (e.g., n8n) alongside DevOps and Platform Engineering teams
- Provide implementation feedback that informs future platform standards and architectural decisions
Skills
- 6-8+ years of software engineering experience in production environments
- Proven experience designing and delivering production AI solutions
- Experience building AI agents, autonomous workflows, or agentic systems
- Strong background integrating LLMs into enterprise applications and services
- Experience delivering end-to-end AI projects from prototype to production
- Advanced prompt engineering and prompt optimization skills
- Experience with Retrieval-Augmented Generation (RAG) architectures
- Experience with vector databases and semantic search technologies
- Strong API integration and orchestration experience
- Experience with workflow automation platforms (e.g., n8n, LangGraph, CrewAI, AutoGen, or similar)
- Knowledge of AI evaluation, testing, and observability practices
- Familiarity with cloud-native architectures and distributed systems
- Strong systems-thinking and architectural problem-solving capabilities
- Experience designing scalable, reliable, and maintainable software systems
- Strong understanding of software engineering best practices, including CI/CD, testing, and monitoring
- Ability to balance experimentation with production-grade engineering standards
Company Overview