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 Python Backend 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.



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