Job requisition ID :: 105972
Date: Jun 4, 2026
Location: Bengaluru
Designation: Senior Consultant
Entity: Deloitte Touche Tohmatsu India LLP
Deloitte’s Technology \& Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact\-driven decision\-making and generate an insight\-driven advantage. Our practice addresses the continuum of opportunities in business intelligence \& visualization, data management, performance management and next\-generation analytics and technologies, including big data, cloud, cognitive and machine learning.
Speed Hiring_ IQE _API Testing _JL5_Q1FY26
Infosys · Bengaluru East, Karnataka, India
Backend Engineer (Node.js & API Integrations)
OneMetric · Gurugram, Haryana, India
Software Engineer II
Tower Research Capital · Gurgaon, Haryana, India
We are seeking a highly skilled Senior Software Developer – Python to join our AI Solutions team focused on building scalable and intelligent systems in the Electrification domain. This role combines strong backend engineering expertise with exposure to AI/ML and Generative AI technologies. You will work closely with AI/ML engineers, data scientists, cloud architects, and product teams to design, develop, and deploy high\-performance backend systems and AI\-powered applications. The ideal candidate should possess strong Python programming fundamentals, backend API development experience, understanding of data pipelines, and practical exposure
to AI/ML integration.
1\. Design, develop, and maintain scalable backend applications and RESTful APIs using
Python frameworks such as FastAPI, Flask, or Django.
2\. Write clean, reusable, maintainable, and testable Python code following OOP
principles, SOLID principles, and design patterns.
3\. Collaborate with AI/ML teams to integrate Machine Learning, Deep Learning, and
Generative AI models into production systems.
4\. Develop and manage APIs for AI/ML model serving and inference workflows.
5\. Build and support ETL/data processing pipelines involving extraction, transformation,
and loading of large datasets.
6\. Work with NumPy, Pandas, and SQL\-based systems for data processing and analytics
tasks.
o Retrieval\-Augmented Generation (RAG)
o Vectorization and embeddings
o Vector databases
o LLM integration workflows
8\. Participate in architecture and system design discussions to ensure scalability,
reliability, and performance optimization.
9\. Implement CI/CD pipelines and follow DevOps best practices for automated
deployment and monitoring.
10\. Design systems with observability in mind using structured logging, monitoring, alerting,
and tracing tools.
11\. Optimize backend systems for performance, concurrency, reliability, and scalability.
12\. Participate in code reviews, debugging, troubleshooting, and mentoring junior engineers
when required.
field.
o Object\-Oriented Programming (OOP)
o Data Structures \& Algorithms
o SOLID principles
o Design patterns
o NumPy
o Pandas
o SQL
o RAG pipelines
o Embeddings/vectorization
o Vector databases
o LLM application workflows
o AWS SageMaker
o AWS Bedrock
o Azure ML Studio
o Azure OpenAI Service
o Prometheus
o Grafana
o ELK Stack
o OpenTelemetry