Backend Engineer (AI)

We are looking for an AI Backend Engineer with strong expertise in Python, AI/ML systems, large-scale data platforms, and enterprise AI deployments. This is a highly collaborative and client-facing role where you will work closely with business stakeholders, leadership teams, and technical users to design and implement AI-powered solutions that solve real-world enterprise challenges.
Responsibilities:
Design, develop, and deploy AI-powered backend systems for enterprise applications.
Build and integrate solutions using modern LLM platforms such as OpenAI and Anthropic.
Develop scalable AI pipelines and backend services using Python.
Work with large-scale structured and unstructured datasets to generate actionable insights.
Develop and optimise machine learning models and AI workflows for production environments.
Collaborate with clients and cross-functional teams to understand business requirements and deliver impactful solutions.
Contribute to MLOps practices, model deployment, monitoring, and lifecycle management.
Work closely with Palantir Foundry and enterprise data ecosystems to drive business outcomes.
Requirements:
3-8 years of experience in AI engineering, machine learning, data science, or backend development.
Strong hands-on experience with Python (Mandatory).
Experience with AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
Experience building solutions using OpenAI, Anthropic, or similar LLM platforms.
Strong understanding of machine learning model development and deployment.
Experience working with large and complex datasets.
Knowledge of MLOps, production deployments, and model lifecycle management.
Strong communication skills and ability to work directly with global stakeholders and enterprise clients.
Preferred Skills:
Hands-on experience with Palantir Foundry (Highly Preferred).
Experience with Databricks, Snowflake, or similar data platforms.
Exposure to agentic AI, generative AI, and decision intelligence systems.
Experience with AWS, Azure, or GCP cloud platforms.
Background in data engineering or distributed systems.
Experience in client-facing or forward-deployed engineering roles.

Experience
3-7 yrs