Estuate - AI/ML Engineer - Python/Tensorflow

About The Role We are seeking a highly skilled AI Application Backend Developer with strong expertise in Python and Google Cloud Platform (GCP) to design, build, and scale AI-driven backend systems. This role focuses on developing production-grade AI applications, building scalable APIs, integrating LLMs and ML models, and deploying cloud-native solutions on GCP. You will collaborate closely with AI engineers, data scientists, frontend developers, and DevOps teams to deliver intelligent, reliable, and high-performance backend services. The ideal candidate has hands-on experience in building AI-enabled systems using modern Python frameworks and cloud infrastructure, with strong knowledge of distributed systems and scalable architecture.

Key Responsibilities AI Application Development :

• Design and develop backend services to power AI-driven applications.
• Integrate Large Language Models (LLMs), ML models, or AI services into production systems.
• Build RESTful APIs and microservices using Python frameworks (FastAPI, Flask, Django).
• Implement RAG (Retrieval-Augmented Generation) pipelines and AI orchestration workflows where applicable.
• Optimize AI inference performance, latency, and reliability.

Cloud & Infrastructure (GCP)

• Design and deploy AI backend services on Google Cloud Platform (GCP).
• Work with GCP services such as: 1. BigQuery 2. Cloud Run 3. Cloud Functions 4. Compute Engine 5. GKE (Kubernetes Engine) 6. Cloud Storage 7. Vertex AI (preferred).
• Ensure scalability, monitoring, and fault tolerance of cloud applications.
• Implement IAM policies, security best practices, and environment isolation.

Data & Integration

• Develop data pipelines to support AI models and analytics workflows.
• Integrate backend systems with third-party APIs and enterprise applications.
• Work with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, BigQuery).
• Handle data validation, transformation, and preprocessing logic.

DevOps & CI/CD

• Containerize applications using Docker.
• Deploy and manage services using Kubernetes (GKE preferred).
• Implement CI/CD pipelines (GitHub Actions, Cloud Build, Jenkins).
• Monitor application health and performance using logging and observability tools.

Collaboration & Engineering Excellence

• Participate in Agile/Scrum ceremonies.
• Write clean, maintainable, well-documented code.
• Conduct peer code reviews.
• Troubleshoot and debug production issues.
• Contribute to architectural decisions and continuous improvement.

Programming Technical Skill Set :

• Python (Advanced)
• SQL

Frameworks

• FastAPI / Flask / Django
• Async programming (asyncio)

Cloud

• Google Cloud Platform (GCP)
• Vertex AI (preferred)
• BigQuery
• Cloud Run / GKE

DevOps

• Docker
• Kubernetes
• CI/CD pipelines
• Git

Ai/Ml

• LLM integrations
• RAG pipelines
• Prompt engineering basics
• Embedding & vector databases (Pinecone, FAISS, etc.)

Qualifications Required Qualifications :

• Bachelors or Masters degree in Computer Science, Engineering, or related field.
• 6+ years of backend development experience.
• Strong proficiency in Python.
• Hands-on experience with GCP cloud services.
• Experience building scalable backend systems and APIs.
• Knowledge of microservices architecture.
• Strong understanding of REST APIs and asynchronous programming.
• Experience with SQL-based databases.
• Familiarity with containerization (Docker) and cloud-native deployment.
• Strong analytical and problem-solving skills.

Preferred Qualifications

• Experience with AI/ML frameworks (LangChain, Hugging Face, TensorFlow, PyTorch).
• Experience with Vertex AI or GCP AI services.
• Experience building LLM-based applications (RAG, Agents, embeddings).
• Experience with message queues (Pub/Sub, Kafka).
• Knowledge of MLOps best practices.
• GCP certification (Professional Cloud Developer / Data Engineer / ML Engineer).
• Experience in high-scale, enterprise-grade AI systems. (ref:hirist.tech)