Software Engineer - (Agentic AI)

Job Description

Role Overview:

At Birla Opus, we are at the beginning of ourAI-first journey, embedding artificial intelligence into core systems to enhance customer experience, optimize internal processes, and reimagine how technology supports the paints ecosystem. As anAI Engineer, you will play a pivotal role in building intelligent solutions that integrate seamlessly with our backend architecture. This is an opportunity to work in a non-traditional tech industry where AI is being applied creatively and experimentally - from data-driven decision support to workflow automation.

Job Summary:

We are seeking anAI Engineer (Backend-focused) with strong experience in backend development and hands-on expertise in applied AI/ML. You will design, develop, and deploy scalable AI-driven services that power our enterprise applications. While our AI adoption is at an early stage, this role will allow you to shape the direction, experiment with cutting-edge approaches, and establish best practices for AI integration in a business-first environment.

Key Responsibilities:

• Backend & AI Service Development: Build APIs and microservices that serve as the foundation for AI/ML-driven features.
• Applied AI/ML: Design, fine-tune, and deploy AI/ML models for practical enterprise use cases such as automation, personalization, and data interpretation.
• AI Lifecycle Management: Own the process of model training, evaluation, versioning, deployment, and monitoring.
• Integration: Embed AI solutions into existing enterprise systems and workflows while ensuring security and scalability.
• Experimentation: Explore new AI approaches and technologies, running proof-of-concepts that could evolve into enterprise-grade solutions.
• Best Practices & Governance: Contribute to standards for AI-first development, covering performance, explainability, and responsible use.

Job Requirements:

• 4+ years of backend/software engineering experience, including3+ years in applied AI/ML development.
• Strong hands-on experience indesigning, training, and deploying ML models in production (TensorFlow, PyTorch, Hugging Face, LangChain).
• Proven ability tobuild and integrate AI services into enterprise-grade applications (APIs, microservices, and event-driven systems).
• Experience working withcloud AI platforms (Azure AI, AWS SageMaker, or GCP Vertex AI).
• Exposure topaints/retail industry use cases (e.g., computer vision for quality checks, recommendation systems for colors/finishes, predictive maintenance for equipment) is a plus.
• Familiarity withapplication security, CI/CD pipelines, and MLOps practices.
• Proficiency in working withDocker and containerized environments.
• Strongproblem-solving and debugging skills in large-scale distributed systems.
• Effective communicator with the ability totranslate AI concepts into business value.

Desirable

• Proficiency in Python and backend frameworks (Flask, FastAPI, Django).
• Solid understanding of ML algorithms, NLP techniques, and GenAI frameworks.
• Strong grasp of data engineering concepts, databases, and distributed systems to support large-scale product and customer data.
• Experience with MLOps pipelines (MLflow, Kubeflow, Airflow) for deploying AI in production.
• Familiarity with vector databases (Pinecone, Weaviate, FAISS) for recommendation and personalization use cases.
• Awareness of AI ethics, governance, and explainability, especially in customer-facing applications.
• Strong problem-solving and effective cross-team communication skills.

Qualifications

• B.E./B Tech/MCA or equivalent from a recognized university.
• 4+ years of desired experience developing & maintaining applications.