Description

You will own the full lifecycle of AI-driven software solutions, from architecture to production deployment.

Responsibilities

• Architect and implement AI-driven microservices and Generative AI pipelines, including orchestration, prompt engineering, and fine-tuning.
• Build and deploy the technology stack for AI/ML use cases, moving from initial concept to production.
• Develop RESTful APIs and integration layers to connect AI/ML models with applications.
• Conduct R&D to shape AI strategies and identify opportunities for business growth.
• Collaborate with cross-functional teams in an Agile environment to ensure adherence to security standards and architectural best practices.

Required Skills

• 7+ years of experience implementing enterprise IT projects.
• 3+ years of experience strategizing and developing AI solutions.
• Proficiency in Python and its libraries for machine learning and data manipulation.
• Extensive experience with the Generative AI stack, including LLMs, foundation models, vector databases (Pinecone, Chroma), and LangChain.
• Proficiency in JavaScript, specifically React JS and NodeJS.
• Experience building RESTful APIs with versioning, error handling, and pagination.
• Strong knowledge of databases including MongoDB, MySQL, or PostgreSQL.
• Experience with microservices architecture, Docker, and Kubernetes.
• Familiarity with Azure or AWS cloud data and AI stacks.
• Knowledge of authentication protocols such as OAuth and JWT.

Preferred Skills

• Experience with data processing frameworks like Databricks or Airflow.
• Hands-on experience with serverless computing using Azure Functions or AWS Lambda.

Key Skills

Education

Any Graduate