Python​/GenAI Developer

Python/GenAI Developer

Req number:

R8777

Employment type:

Full time

Worksite flexibility:

Remote

Who we are

CAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.

Job Summary

As a Python/GenAI Developer, you will Build and enhance enterprise AI applications through Python development, Generative AI integration, API design, data processing, and cloud-based deployment.

Job Description

CAI is seeking a Python/GenAI Developer to build and support Python-based backend services and AI solutions leveraging LLMs, RAG, FastAPI, and Google Cloud technologies. The role focuses on delivering secure, scalable, and reliable AI-enabled applications while collaborating with business and technical stakeholders throughout the software development lifecycle. This position is contract and remote.

What You’ll Do

• Design, develop, and maintain Python-based backend services and APIs for AI-enabled applications, with strong emphasis on clean, modular, production-ready code

• Build and integrate Generative AI workflows using LLMs, RAG pipelines, prompt orchestration, and structured-output processing

• Develop FastAPI-based REST endpoints to support file processing, pipeline execution, asynchronous workflows, and integration with external enterprise applications

• Implement retrieval workflows using GCP services such as Vertex AI, Vertex AI Search, Cloud Storage, Big Query, Pub/Sub, Secret Manager, and Cloud Run

• Develop data-processing logic for structured and unstructured inputs, including document parsing, metadata generation, validation, transformation, and downstream persistence

• Support integration testing, debugging, deployment, logging, monitoring, and troubleshooting of AI applications across development and QA environments

• Collaborate with solution architects, cloud infrastructure teams, product owners, and business stakeholders to translate requirements into working AI features and scalable backend components

• Contribute to prompt engineering, output validation, error handling, retry logic, and guardrails to improve reliability of AI pipeline responses

• Maintain technical documentation, API contracts, configuration files, deployment artifacts, and reusable engineering components

What You'll Need

Required:

• Minimum 4-7 years of software development experience, with strong hands-on experience in Python backend development; programming fundamentals, object-oriented design, modular coding, exception handling, testing, and package management

• Minimum 1-2 years of practical experience with Generative AI and LLM-based applications including prompt engineering, structured outputs, model invocation, response validation, token usage, and basic evaluation concepts

• Minimum 1-2 years of practical experience RAG solutions including document ingestion, chunking, embeddings, vector retrieval, metadata filtering, reranking, and grounding

• Experience building REST APIs using FastAPI, Flask, or similar Python frameworks; endpoint development, request/response models, authentication, async processing, status handling, and API integration

• Hands-on experience working with Google Cloud Platform, especially Cloud Run, Cloud Storage, Vertex AI, Big Query, Pub/Sub, IAM, and Secret Manager

• Experience integrating AI/ML services into enterprise applications using APIs, authentication, asynchronous processing, and cloud-native…