Assistant Manager | AI Engineer | Bengaluru | Sustainability & Emerging Assurance

- Job requisition ID : 108283
- Location: Bengaluru
- Entity: Deloitte Touche Tohmatsu India LLP

The team

Assurance is about much more than just the numbers. It’s about attesting to accomplishments and challenges and helping to assure robust foundations for future aspirations. Deloitte exemplifies what, how, and why of change so you’re always ready to act ahead. Learn more about Audit & Assurance Practice.

Your work profile

- We are seeking a highly skilled AI Backend Engineer to design, build, and deploy high-scale, production-grade AI services. As a key member of our engineering team, you will focus on integrating Large Language Models (LLMs), Agentic AI, optimizing RAG (Retrieval-Augmented Generation) pipelines, and architecting robust backend systems that power our core AI platform.
- AI Integration & Development: Design and implement APIs for AI/ML model inference, specifically focusing on LLM workflows, NLP, and Agentic AI systems.
- Backend Architecture: Build and maintain scalable, asynchronous distributed systems and microservices using Python/FastAPI/Flask/Django.
- Data Pipeline Management: Develop robust ETL/ELT pipelines and manage data processing to train, fine-tune, and serve models.
- Production Deployment:



Deploy AI models into production environments utilizing containerization (Docker, Kubernetes) and cloud services (Azure/AWS/GCP).
- Performance Optimization: Optimize backend services for high performance, low latency, and maximum scalability.
- Collaboration & Mentorship: Work closely with full-stack developers, data scientists, ML engineers, and front-end teams to integrate AI capabilities into end-user products, providing technical leadership and mentoring junior developers.

Key skills required:

- Experience: 3-6 years of professional backend development experience, with at least 2+ years specialized in AI/ML applications.
- Languages: Expert-level proficiency in Python (FastAPI, Flask, Django).
- AI Frameworks: Hands-on experience with LLM frameworks like LangChain, LlamaIndex, Hugging Face, or PyTorch/TensorFlow.
- Database Systems: Proficient in Chroma, FAISS, Qdrant (Vector DB), SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, Elasticsearch) databases.
- Cloud & DevOps: Proven experience with Azure, AWS (S3, EC2, Lambda) or GCP, and CI/CD pipelines, MLOps.
- Architecture: Strong knowledge of distributed systems, async processing, RESTful APIs, and system design patterns.
- Education: Bachelor’s or Master’s degree in Computer Science, AI, or related fields.

📌 Assistant Manager | AI Engineer | Bengaluru | Sustainability & Emerging Assurance (India)
🏢 Deloitte
📍 India