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 
• 5–8 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

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