Enterpret: Applied AI Research Engineer

Job Description:

Enterpret is hiring Applied AI Research Engineers in Bengaluru to help build next-generation AI-powered systems that transform customer feedback into actionable business insights. This role is ideal for engineers who combine strong research capabilities with practical software engineering expertise. As part of an AI-native platform trusted by leading global companies such as Canva, Notion, Descript, and Perplexity, you will work on cutting-edge large language model (LLM) applications that enable businesses to understand customer sentiment at scale. The position focuses on designing intelligent systems that are reliable, production-ready, and capable of delivering measurable value in real-world environments.

In this role, you will take ownership of AI-driven product features from concept to deployment. You will define evaluation metrics, create testing frameworks, and ensure that AI systems meet strict quality standards before and after launch. The role requires hands-on involvement in production engineering, including monitoring systems, debugging failures, and optimizing performance across the entire AI stack. From retrieval pipelines and AI agents to prompt engineering and model evaluation, you will work on advanced machine learning systems that power meaningful customer insights for global organizations.

Working at Enterpret offers a unique opportunity to contribute to a fast-growing AI startup where innovation moves quickly from research into production. You will collaborate with product managers, infrastructure teams, and engineers to solve challenging real-world problems using artificial intelligence. The company emphasizes ownership, experimentation, and practical impact, making it an excellent environment for professionals who thrive in high-growth, high-responsibility settings. This role provides deep exposure to modern AI technologies, production-scale machine learning systems, and enterprise-grade software engineering practices.

Roles & Responsibilities:

• Design, develop, and deploy AI-powered features that deliver reliable and scalable performance in production environments.
• Define quality benchmarks for AI systems by creating evaluation rubrics, testing methodologies, and rollout strategies.
• Build and maintain production-grade Python code, ensuring scalability, maintainability, and robustness of AI applications.
• Develop retrieval pipelines, AI agents, and hybrid architectures based on business requirements and system performance needs.
• Monitor deployed AI systems, identify regressions or performance issues, and implement proactive fixes before they affect users.
• Debug complex failures across data pipelines, infrastructure, prompts, model outputs, and system integrations to improve reliability.
• Collaborate closely with product, infrastructure, and engineering teams to deliver AI solutions aligned with customer and business goals.
• Implement automated testing, monitoring, and validation systems to ensure continuous improvement of AI model performance.
• Optimize large language model workflows through prompt engineering, fine-tuning strategies, and evaluation frameworks.
• Contribute to incident reviews, process improvements, and best practices that strengthen system quality and operational excellence.

Requirements & Eligibility:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
• Strong hands-on experience in building and deploying AI or machine learning systems in real-world production environments.
• Proficiency in Python programming with the ability to write clean, scalable, and testable production-level code.
• Deep understanding of Large Language Models (LLMs), prompt engineering, fine-tuning techniques, and AI evaluation strategies.
• Experience working with retrieval-augmented generation (RAG), AI agents, vector databases, or hybrid AI architectures.
• Strong analytical and research skills with the ability to define evaluation metrics and measure AI system effectiveness.
• Familiarity with cloud infrastructure, APIs, monitoring systems, and debugging distributed applications.
• Knowledge of system design principles, failure handling, data contracts, and rollout planning for production AI systems.
• Excellent problem-solving and communication skills with the ability to collaborate effectively across cross-functional teams.
• Self-driven mindset with a strong sense of ownership, adaptability, and passion for building reliable AI-powered products.

Expected Salary:

The expected salary for an Applied AI Research Engineer at Enterpret in Bengaluru typically ranges between ₹18 LPA to ₹40 LPA depending on experience, technical expertise, and prior exposure to AI production systems. Candidates with strong LLM engineering, machine learning deployment, and distributed systems experience may receive significantly higher compensation packages. In addition to salary, Enterpret offers opportunities to work on cutting-edge AI innovation in a fast-growing startup ecosystem.

🚨 Stop Scrolling – This Could Be Your Shortcut to Interviews

Most candidates apply to 100+ jobs and never hear back.
The real reason? They don’t know where recruiters are actually hiring from.

Our April Hiring PDF includes verified HR emails and hiring details from companies like:

Dentsu, IBM, HCL, PwC, LTIMindtree, Wipro, Cognizant, Deloitte, Capgemini, Amazon, TCS, Infosys, EPAM, EY, NTT Data, Tech Mahindra, Fractal, GlobalLogic, Coforge, UST and many more.

Inside you’ll find:
✔ 300+ Fresher Job Opportunities
✔ 2500+ Verified HR Emails & Contacts
✔ Direct Hiring + Consultancy Openings
✔ IT & Non-IT Roles

🔥 60+ students placed recently using these hiring leads

👉 Grab the April Hiring List Now: April Hiring PDF