Applied AI Engineer

Applied AI Engineer

Weekday AI · Bengaluru, India · Full-time · Posted 2026-11-13

Salary: INR 2,500,000–3,000,000

Workplace: on_site

Department: Weekday's Client via platform

Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟯𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟱-𝟯𝟬 𝗟𝗣𝗔)

Experience: 4+ yrs

Location: Bengaluru

As a Applied AI Engineer, you will spearhead the design, development, and deployment of intelligent solutions that integrate state‑of‑the‑art machine learning models with enterprise software. Your role will involve bridging the gap between AI research and production‑grade Java and Python services, ensuring high performance, scalability, and maintainability across cloud and on‑premise environments. You will collaborate closely with product managers, data scientists, and DevOps teams to transform complex business requirements into robust AI pipelines, leveraging Spring AI and LangChain ecosystems. By innovating with LangGraph for graph‑based reasoning, you will enable richer context handling and dynamic decision‑making in our applications while maintaining rigorous testing and API governance. Your contributions will directly impact customer experience and operational efficiency, driving measurable ROI for our digital transformation initiatives.

Requirements

𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀

• Design and implement modular AI components using Spring AI, ensuring seamless integration with existing microservices.

• Build and maintain conversational AI pipelines with LangChain, customizing agents for specific domain tasks.

• Develop graph‑based reasoning workflows in LangGraph to support complex relational data queries.

• Write clean, efficient Java and Python code, adhering to coding standards and promoting reusability.

• Expose AI functionalities via well‑documented RESTful and gRPC APIs for internal and external consumption.

• Conduct performance profiling, optimize models for latency and throughput, and troubleshoot production issues.

• Collaborate with data engineers to ingest and preprocess large datasets, ensuring data quality and compliance.

• Implement CI/CD pipelines for automated testing, continuous deployment, and version control of AI services.

• Mentor junior engineers and contribute to knowledge sharing sessions on AI best practices and emerging technologies.

• Stay abreast of industry trends in AI, ML frameworks, and cloud services, proposing innovative solutions to enhance product capabilities.

𝗪𝗵𝗮𝘁 𝗠𝗮𝗸𝗲𝘀 𝗬𝗼𝘂 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁

• 4+ years of professional experience in AI/ML engineering with a strong background in Java and Python.

• Hands‑on expertise in Spring AI, LangGraph, and LangChain, including deployment in production environments.

• Proven ability to design and develop high‑performance APIs that expose complex AI logic.

• Solid understanding of data pipelines, ETL processes, and experience working with large, heterogeneous datasets.

• Familiarity with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker).

• Experience with CI/CD workflows, test‑driven development, and automated monitoring of AI services.

• Strong problem‑solving skills and a passion for translating business challenges into elegant technological solutions.

• Excellent communication skills, able to articulate technical concepts to non‑technical stakeholders.

• Demonstrated teamwork in cross‑functional agile environments, contributing to iterative product releases.

• Continuous learning mindset, actively participating in conferences, workshops, or contributing to open‑source AI projects.

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