Senior Gen AI Engineer

Orion Innovation; Chennai; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Orion Innovation in Chennai is seeking a Senior Gen AI Engineer to design and maintain scalable backend systems for AI and Data Science applications. The ideal candidate will have over 6 years of backend engineering experience in Python, focusing on AI/ML delivery. Responsibilities include developing APIs and microservices, optimizing backend systems for cloud environments and collaborating with data teams. This role is critical for building AI capabilities and deploying high-performance solutions in various domains.

Qualifications

• 6+ years of backend engineering experience with Python.
• Strong expertise in FastAPI, Flask, or Django frameworks.
• Proven experience in AI/ML/GenAI projects.
• Hands-on with data processing and ML frameworks.

Responsibilities

• Design and maintain scalable backend services and APIs in Python.
• Build data ingestion and transformation pipelines.
• Work with data scientists to productionize ML/GenAI models.
• Implement microservices with reliability and maintainability.

Skills

Backend engineering experience with Python

Expertise in FastAPI, Flask, Django

Experience with AI/ML/GenAI projects

Data processing frameworks (Pandas, PySpark, Dask)

Understanding of REST/gRPC APIs

Cloud experience with AWS, Azure, GCP

Tools

Docker

Kubernetes

ML frameworks (PyTorch, TensorFlow)

Vector databases (Pinecone, Weaviate)

Orchestration tools (Airflow, Dagster)

Job description

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, eCommerce, and education.

Job Overview

We are looking for a Senior Gen AI Engineer with proven expertise in building robust, scalable, and secure backend systems for AI, Generative AI (GenAI), and Data Science applications. The ideal candidate will combine strong backend engineering fundamentals with hands‑on experience integrating AI/ML models, optimizing data pipelines, and enabling enterprise‑grade deployments. This role is highly collaborative, requiring close work with data scientists, AI architects, and product teams to deliver high‑performance solutions.

Key Responsibilities

• Design, develop, and maintain scalable backend services and APIs in Python (FastAPI, Flask, Django).
• Build data ingestion, transformation, and feature engineering pipelines for AI/ML and GenAI.
• Implement microservices with reliability, observability, and maintainability.
• Optimize backend systems for performance, cost, and scalability in cloud environments.
• Work with data scientists to productionize ML/GenAI models (deployment, monitoring, lifecycle).
• Integrate LLMs, vector databases, embeddings, and RAG pipelines into services.
• Develop APIs and SDKs to expose AI/ML capabilities.
• Apply responsible AI practices: bias detection, security, compliance.
• Translate business needs into technical designs with architects and product teams.
• Mentor junior engineers, enforce best practices, and support CI/CD automation.
• Contribute to design discussions, architecture reviews, and sprint planning.

Key Skills

• 6+ years of backend engineering experience with Python in enterprise or product environments.
• Strong expertise in FastAPI, Flask, Django, or similar frameworks.
• Proven experience working on AI/ML/GenAI projects (model deployment, serving, integration).
• Hands‑on with data processing frameworks (Pandas, PySpark, Dask) and ML frameworks (PyTorch, TensorFlow, Hugging Face).
• Familiarity with vector databases (Pinecone, Weaviate, FAISS, Milvus) and orchestration tools (Airflow, Dagster, Prefect).
• Strong understanding of REST/gRPC APIs, microservices, containerization (Docker, Kubernetes), and CI/CD pipelines.
• Cloud experience with AWS, Azure, or GCP (serverless, Kubernetes, AI/ML services).
• Solid understanding of security, scalability, and performance tuning in backend systems.

Preferred Qualifications

• Experience with LLMOps/ MLOps (MLflow, Weights & Biases, LangChain/LangGraph).
• Exposure to multi‑agent systems, advanced RAG, or AI governance patterns.
• Prior experience in data‑intensive applications (streaming, big data pipelines).
• Open‑source contributions or publications in AI/ML/GenAI.

Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.