AI Engineer / AI Developer

About the role

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