Senior AI Engineer

As a Senior AI Engineer We are seeking an experienced Senior AI Engineer to design, build, deploy, and scale AI-powered products and services that create measurable business value.

This role focuses on delivery and integration of machine learning and generative AI solutions into enterprise workflows, with strong emphasis on production-grade engineering, MLOps, responsible AI, and cross-functional collaboration.

The ideal candidate combines deep Python engineering capability with hands-on experience integrating foundation model APIs, building LLM applications, monitoring model performance in production, and partnering with data scientists, product managers, and platform teams to move from prototype to scalable deployment.

Key Responsibilities

Design, develop, deploy, and maintain AI/ML and GenAI solutions using Python for enterprise and business use cases. Build and integrate LLM-powered applications using frameworks such as LangChain or LlamaIndex and external model APIs such as OpenAI, Anthropic, Cohere, or Mistral.

Productionize models and AI services using Flask, FastAPI, MLflow, Triton Inference Server, or Hugging Face Inference Endpoints. Collaborate with data scientists to operationalize machine learning models, fine-tuned models, NLP pipelines, and computer vision solutions.

Develop robust API integrations, orchestration layers, evaluation pipelines, and logging/monitoring capabilities for AI services. Implement model versioning, experiment tracking, monitoring, and drift/performance detection in production environments.

Support data preparation and curation activities, including cleaning, transformation, and readiness of datasets for machine learning tasks. Apply best practices for responsible AI, including bias detection and mitigation, explainability, transparency, content filtering, and moderation.

Work closely with product, DevOps, platform, security, and compliance stakeholders to deliver secure, scalable, and compliant solutions. Rapidly prototype MVPs