AI Engineer AI Developer

Job Summary

We are looking for a Senior AI Developer to design build and operate AI-powered services in production. You will work on Python-based APIs model integration and platform reliability owning features from design through deployment and debugging at scale.

This role suits someone who is strong in Python backend development API design and scalability troubleshooting and who can work closely with ML engineers product and platform teams.

Job Requirements

• Design and implement REST/gRPC APIs in Python (FastAPI Flask or similar) for AI/ML features and internal services Integrate LLMs embeddings RAG pipelines and agents into production workflows
• Build reliable data ingestion preprocessing and inference pipelines with clear observability
• Profile and optimize latency throughput memory usage and cost (batching caching async I/O connection pooling)
• Implement logging metrics tracing and alerting for AI services (Dynatrace Grafana OpenTelemetry etc.)
• Write unit integration and load tests; participate in code reviews and production incident response
• Collaborate with ML engineers on model serving versioning A/B testing and safe rollout
• Document APIs runbooks and architecture decisions for maintainability
• 58 years of professional software development experience
• Strong Python skills and experience building production APIs
• Hands-on experience with API frameworks (e.g. FastAPI Flask Django REST)
• Proven ability to debug scalability and reliability issues in distributed systems
• Experience with SQL/NoSQL databases caching (Redis) and message queues (Kafka RabbitMQ SQS etc.)
• Solid understanding of async programming concurrency and I/O-bound vs CPU-bound bottlenecks
• Experience deploying services in Docker/Kubernetes or similar container platforms
• Familiarity with CI/CD Git and agile delivery

Education

• Bachelors degree in Computer Science or a related field.
• 4-8 years of professional experience in software development