AI Applications Developer
4 days ago
Houston
Job DescriptionDescription: About the Role We are seeking a motivated AI Applications Developer to design, build, and deploy AI-powered software that delivers tangible value to users. You will work across product, data science, and frontend/backend engineering to turn ideas into scalable, production-ready AI features and apps. You’ll own the full lifecycle from concept and architecture to implementation, testing, and operations, with a focus on reliability, performance, and ethical AI practices. Key Responsibilities • Design and implement AI-powered features and applications, including chatbots, assistants, search/retrieval, summarization, recommendations, vision-based features, or other ML-driven capabilities., • Build robust backend services and APIs to expose AI functionality; ensure low latency, high throughput, and scalable architecture., • Integrate AI models and pipelines with frontend products; collaborate with UI/UX to deliver intuitive AI-enhanced experiences., • Develop and maintain data pipelines, feature stores, and data preprocessing steps; ensure data quality, privacy, and security., • Evaluate models for performance, fairness, bias, latency, and reliability; implement monitoring, A/B testing, and rollback strategies., • Implement MLOps practices: versioning, CI/CD for ML, containerization (e.g., Docker), orchestration (e.g., Kubernetes), and automated testing., • Monitor applications post-release; instrument logging, metrics, tracing, and alerting; manage incident response and reliability targets., • Write clean, well-documented code; create and maintain API docs, architecture diagrams, and developer guides., • Collaborate with Product, Design, Data Science, and Security teams to translate requirements into concrete technical plans., • Ensure compliance with privacy, security, and ethical guidelines; implement bias mitigation and explainability where appropriate. Required Qualifications • 2+ years of software development experience, with hands-on work on AI-enabled or data-driven applications., • Proficiency in Python for backend and ML integration; experience with building or consuming AI/ML models and APIs., • Strong backend development skills and experience with at least one modern framework (e.g., FastAPI, Django, Flask, Node.js/Express)., • Experience integrating AI services or LLMs (e.g., OpenAI, Cohere, Anthropic) and working with embeddings, vector databases (e.g., Pinecone, Weaviate), or retrieval-based architectures., • Familiarity with cloud platforms (AWS, GCP, Azure) and basic DevOps practices (CI/CD, Docker); basic containerization and orchestration knowledge., • Knowledge of data privacy, security best practices, and ethical considerations in AI., • Ability to work cross-functionally with product managers, designers, and data scientists; strong communication and collaboration skills., • A track record of writing tests (unit/integration), documentation, and maintaining code quality. Preferred Qualifications • Experience with frontend technologies (React/TypeScript) and integrating AI features into user interfaces., • Experience with ML pipelines and MLOps tools (MLflow, Kubeflow, Airflow) and monitoring tools (Prometheus, Grafana)., • Familiarity with vector databases, structured/unstructured data processing, and data governance., • Degree in Computer Science, Engineering, or a related field; advanced degree a plus., • Knowledge of modern security practices, data anonymization, and GDPR/CCPA compliance. Skills and Technologies (Examples) • Languages: Python, JavaScript/TypeScript (Node.js/React), SQL, • AI/ML: LLMs, embeddings, retrieval, fine-tuning, evaluation metrics, • Backend: FastAPI/Django/Flask, REST/gRPC, microservices, • Frontend: React, Next.js (nice-to-have), • Data: Pandas, NumPy, data pipelines, ETL, • Cloud & DevOps: AWS/Azure/GCP, Docker, Kubernetes, CI/CD (GitHub Actions, GitLab CI), • Databases: PostgreSQL, MongoDB, Redis, • AI/ML Tools: OpenAI API, Pinecone/Weaviate, MLflow, PyTorch/TensorFlow (nice-to-have), • Observability: Prometheus, Grafana, ELK/EFK stack Nice-to-Have • Mendix and JAVA experience, • Production experience with AI-powered consumer or enterprise applications, • Contributions to open-source AI projects or prior startup experience, • Experience with privacy-preserving AI and bias mitigation techniques, • Experience with HIPPA data privacy impact assessments and security reviews What We Offer • Competitive compensation and meaningful equity, • Comprehensive health, dental, and vision coverage, • Professional development and opportunities for growth, • Collaborative, inclusive team culture and mentorship, • Modern tech stack and access to AI/ML resources How to Apply Please submit: • Your resume/CV, • A brief cover letter outlining relevant AI app projects, • Links to a portfolio, GitHub, or live projects if available