Estuate - AI/ML Engineer - Python/Tensorflow

Estuate, Inc.; Hyderabad; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Estuate, Inc. is seeking an experienced AI Application Backend Developer in Hyderabad to design, build, and scale production‑grade AI‑driven backend systems. You will develop scalable APIs, integrate LLMs and ML models, and deploy cloud‑native solutions on GCP.

You will collaborate with AI engineers, data scientists, frontend developers, and DevOps to ensure reliable, high‑performance services and robust data pipelines across SQL/NoSQL databases. Strong Python and GCP skills are essential.

Qualifications

• 6+ years of backend development experience in production systems.
• Strong proficiency in Python and REST APIs.
• Hands-on with GCP cloud services and scalable backend design.

Responsibilities

• Design and develop backend services for AI-driven apps.
• Integrate LLMs/ML models into production systems.
• Build RESTful APIs and microservices with Python frameworks.
• Implement RAG pipelines and AI orchestration workflows.
• Optimize AI inference latency, reliability, and scalability.

Skills

Advanced Python

SQL

FastAPI/Flask/Django

Async programming

GCP

Vertex AI

BigQuery

Cloud Run/GKE

LLM integration

RAG pipelines

Education

Bachelor’s or Master’s degree in CS/Engineering

Tools

Docker

Kubernetes

Job description

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.

Key Responsibilities

• 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 such as FastAPI, Flask, or 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 BigQuery, Cloud Run, Cloud Functions, Compute Engine, GKE, Cloud Storage, and 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 using GitHub Actions, Cloud Build, or 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.

Technical Skill Set

• Advanced Python
• SQL
• FastAPI, Flask, or Django
• Async programming (asyncio)
• Google Cloud Platform (GCP)
• Vertex AI (preferred)
• BigQuery
• Cloud Run, GKE

Additional Skills

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

Required Qualifications

• Bachelor’s or Master’s 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 such as LangChain, Hugging Face, TensorFlow, or 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, or ML Engineer).
• Experience in high‑scale, enterprise‑grade AI systems.