Description

Own the design and implementation of agentic AI solutions that solve customer problems, integrating LLMs and ML pipelines into existing product workflows.

This role is on-site.

Responsibilities

• Analyze customer feedback and product data to identify pain points, then design and validate AI/ML solutions with proof-of-concepts.
• Write production-quality code in Java, Python, and TypeScript, implementing AI capabilities into microservices and monolithic applications.
• Design comprehensive test strategies for AI systems, including unit, integration, and accuracy testing to ensure model reliability and correctness.
• Define AI/ML architecture patterns, mentor engineers, and select tools based on technical merit and business value.
• Build and optimize data pipelines for training, inference, and model management using vector databases and semantic search.

Required Skills

• 10+ years of experience with Java 17+ and Spring Boot 3.5+ in microservices architectures.
• Strong proficiency in Python 3.10+ for AI/ML development, data processing, and scripting.
• Hands-on experience with LangChain, LangGraph, OpenAI APIs, or similar LLM platforms for agentic workflows.
• Experience implementing Retrieval-Augmented Generation (RAG), vector databases, embeddings, and prompt engineering.
• Proficiency in TypeScript/JavaScript, React, Node.js, and Angular 19.
• Strong SQL skills with experience in PostgreSQL, MySQL, MongoDB, and database optimization.
• Experience with Docker, Kubernetes, Jenkins, GitLab CI, Maven, and Gradle.
• Strong QA mindset with experience in TDD, JUnit, pytest, and automated testing frameworks.
• Understanding of MLOps, model deployment, and cloud platforms (AWS, Azure, or GCP).

Preferred Skills

• Experience with Scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch.
• Knowledge of Keycloak, OAuth2, JWT, and secure application development practices.

Key Skills

Education

Any Graduate