Senior AI Engineer (AI Engineering)

TL;DR

Senior AI Engineer (AI Engineering): Develops robust backend systems using Java and Python, integrating Large Language Models (LLMs) to power autonomous decision-making in enterprise-grade agentic systems. Focus on prompt engineering, AI product development, and handling data-rich environments.

Location: A flexible hybrid work model in our Bangalore office.

Company

hirify.global’s AI-powered data unification and management capabilities transform siloed data from disparate sources into unified, trusted, and interoperable data.

What you will do

• Develop robust, scalable Java/Python based backend systems that enable the orchestration of Agentic AI workflows.
• Develop state-of-the-art AI/ML models for solving real-world data management challenges.
• Integrate LLMs (e.g., OpenAI, Mistral, Claude, LLaMA) into backend pipelines to power autonomous or semi-autonomous decision-making.
• Implement services and APIs that manage prompt chaining, tool invocation, and contextual memory for agents.
• Monitor and improve model performance using feedback loops, A/B testing, drift detection, and retraining strategies.

Requirements

• 5+ years of overall experience in backend engineering, with strong proficiency in Java for scalable, distributed systems.
• 2+ years of experience in developing and deploying machine learning models and AI products in production environments.
• Experience in Agentic AI systems development using tools such as LangGraph, Crew AI, AutoGen, or similar.
• Proficiency in Python (NumPy, scikit-learn, pandas, PyTorch/TensorFlow) and experience with large-scale data processing tools (Spark, Kafka, Airflow).
• Experience integrating or orchestrating LLMs within business workflows or intelligent assistants.
• Solid understanding of prompt engineering techniques (e.g., system messages, chaining, tool invocation prompts).

Nice to have

• Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, RAG pipelines).
• Background in building microservices or backend systems for data-rich AI/ML platforms.
• Experience with vector databases, embedding services, or semantic search integration.

Culture & Benefits

• Opportunity to work on cutting-edge backend and AI systems, including agentic automation and LLM innovation.
• A flexible hybrid work model in our Bangalore office.
• Competitive compensation with performance-based rewards.
• 36 annual leaves, which includes Sick leaves – 18, Earned Leaves - 18.
• Support for home office setup.