CAI is seeking a Python/GenAI Developer for a contract, remote role focused on building enterprise AI applications.
Responsibilities
- Design, develop, and maintain Python-based backend services and APIs for AI-enabled applications, emphasizing 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 for file processing, pipeline execution, asynchronous workflows, and integrations with external enterprise applications
- Implement retrieval workflows using GCP services including Vertex AI, Vertex AI Search, Cloud Storage, BigQuery, Pub/Sub, Secret Manager, and Cloud Run
- Create data-processing logic for structured and unstructured inputs such as document parsing, metadata generation, validation, transformation, and downstream persistence
- Support integration testing, debugging, deployment, logging, monitoring, and troubleshooting across development and QA environments
- Collaborate with solution architects, cloud infrastructure teams, product owners, and business stakeholders to translate requirements into scalable AI features and backend components
- Improve reliability of AI pipeline responses through prompt engineering, output validation, error handling, retry logic, and guardrails
- Maintain technical documentation, API contracts, configuration files, deployment artifacts, and reusable engineering components
Requirements
- 4-7 years of software development experience, including strong hands-on Python backend development (OOP, modular coding, exception handling, testing, package management)
- 1-2 years practical experience with Generative AI and LLM-based applications (prompt engineering, structured outputs, model invocation, response validation, token usage, basic evaluation concepts)
- 1-2 years practical experience with RAG solutions (document ingestion, chunking, embeddings, vector retrieval, metadata filtering, reranking, grounding)
- Experience building REST APIs using FastAPI, Flask, or similar Python frameworks (endpoint development, request/response models, authentication, async processing, status handling, API integration)
- Hands-on experience with Google Cloud Platform, especially Cloud Run, Cloud Storage, Vertex AI, BigQuery, Pub/Sub, IAM, and Secret Manager
- Experience integrating AI/ML services into enterprise applications using APIs, authentication, asynchronous processing, and cloud-native services
- Experience with cloud-native development including Docker, service accounts, environment variables, secrets, CI/CD, deployment, and runtime troubleshooting
- Experience processing structured and unstructured data formats including JSON, JSONL, Excel, CSV, PDF, Word documents, and text
- Experience with source control, CI/CD, containerization, and deployment workflows using Git, Docker, GitLab/GitHub, and cloud deployment pipelines
- Exposure to debugging distributed or cloud-hosted applications using logs, monitoring, request tracing, and error analysis
- Experience working in Agile teams and collaborating with cross-functional stakeholders
Technology Stack
- Python, FastAPI, Flask
- LLMs, RAG
- Vertex AI, Vertex AI Search
- Cloud Storage, BigQuery, Pub/Sub, Secret Manager, Cloud Run
- Docker, Git, GitLab, GitHub
- Google Cloud Platform, IAM
- JSON, JSONL, Excel, CSV, PDF, Word
Preferred
- Experience with Agentic AI frameworks or multi-step AI orchestration
- Familiarity with Vertex AI Vector Search, Graph RAG, or knowledge graph concepts
- Experience with Pub/Sub-based asynchronous processing and event-driven architectures
- Understanding of OAuth, service-to-service authentication, IAM, signed URLs, and secure API integration
- Exposure to React or frontend integration (useful but not mandatory)
- Familiarity with AI evaluation metrics such as groundedness, relevance, completeness, coherence, and confidence scoring
- Healthcare-domain exposure, particularly for enterprise workflow, requirements, or document intelligence
Compensation
Benefits
- Medical, dental, and vision insurance
- 401k retirement account access
- Paid sick leave and/or other paid time off as provided by applicable law
Application Accommodation
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111.
EEO Statement
CAI is committed to equal employment opportunity and does not discriminate based on protected characteristics, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability, or protected veteran status. CAI also supports affirmative action and prohibits retaliation.
