Software Engineer Intern

Brandscapes Consultancy; Khordha; On-site; INR 201,000 - 279,000; Full time

Job summary

Brandscapes Consultancy invites a Software Development Engineer Intern - Backend to join our Engineering team in Bhubaneswar/Bangalore for 4–6 months as a full-time internship with a potential PPO. You will help design scalable backend systems powering AI-driven consumer intelligence platforms and enterprise apps, gaining exposure to large-scale data and AI features.

You will collaborate with AI/ML engineers and product teams, delivering production-grade APIs, multi-tenant architectures, and

Qualifications

• Data structures, algorithms and CS fundamentals.
• Backend development in Python, Java, Go, Node.js or equivalent.
• REST/gRPC APIs and distributed system concepts.
• SQL and modern database architectures.
• Caching, queues and asynchronous processing.
• Cloud-native application development.

Responsibilities

• Design and build scalable, secure backend systems powering AI apps.
• Build orchestration layer for AI workflows and integrations.
• Develop high-performance APIs and microservices.
• Build backend infra for GenAI applications.
• Work with AI/ML engineers, data scientists, researchers and product teams.
• Experiment with LLMs, AI agents, and data infrastructure.

Skills

Data structures

Backend development

APIs & distributed systems

SQL databases

Caching & queues

Cloud-native development

Backend languages

Tools

Docker

Kubernetes

AWS

GCP

Azure

Redis

Elasticsearch/OpenSearch

Kafka

Data warehouses

Job description

Role Snapshot

• Designation - Software Development Engineer Intern - Backend
• Team - Engineering
• Duration - 4-6 months (full-time internship)
• Opportunity - Internship with an option for a PPO (Pre-Placement Offer)
• Location - Bhubanewar, India,Bhubaneswar/Bangalore, India

As an intern, you will be working alongside the teams building and scaling our AI-powered consumer intelligence platform and the custom enterprise apps - which means real exposure to large-scale data, AI-driven product features, and systems used by the Fortune 500 companies every day.

Job Description

Design and build highly scalable, secure and fault-tolerant backend systems powering enterprise-grade AI applications across Consumer Research and Analytics.

Build the orchestration layer for AI and agentic workflows - connecting LLMs, analytical models, data sources, research engines and enterprise applications into reliable production systems.

Develop high-performance APIs, microservices and asynchronous processing systems that power AI-led research, analytics dashboards, automated insight generation and enterprise integrations.

Build backend infrastructure for GenAI applications, including model gateways, prompt and workflow orchestration, structured outputs, RAG pipelines, embeddings, vector retrieval, caching, evaluation and AI guardrails.

Build AI systems that operate across structured and unstructured data - survey responses, behavioural events, transactions, documents, conversations, qualitative interviews and external intelligence sources.

Engineer multi-tenant enterprise architecture with strong data isolation, role-based access controls, auditability, authentication, API security and privacy-by-design principles.

Build scalable research and analytics workflow engines capable of managing long-running jobs, distributed tasks, retries, queues, scheduling and real-time status updates.

Create production-grade integrations with LLMs and machine-learning models, while solving for latency, reliability, model fallbacks, token economics, observability and output quality.

Build systems that make AI explainable and auditable by maintaining lineage between source data, analytical transformations, model outputs and final recommendations.

Work closely with AI/ML engineers, data scientists, researchers, product teams and analytics experts to convert complex research and analytical methodologies into scalable software products.

Continuously experiment with new developments across LLMs, AI agents, retrieval systems, reasoning models and data infrastructure, and translate the ones that matter into production capabilities.

Skills

Must Have (Basic / Intermediate / Advance level) -

• Data structures, algorithms and computer science fundamentals
• Backend development in Python, Java, Go, Node.js or equivalent
• REST/gRPC APIs and distributed system concepts
• SQL and modern database architectures
• Caching, queues and asynchronous processing
• Cloud-native application development

Good to have -

• LM APIs and Generative AI applications
• Agentic AI frameworks and workflow orchestration
• RAG, embeddings and vector databases
• ML inference systems
• Large-scale data processing
• Kafka / event-driven architectures
• Redis / Elasticsearch / OpenSearch
• Docker / Kubernetes
• AWS / GCP / Azure
• Data warehouses
• Enterprise SaaS or multi-tenant architecture

What will you take away -

• Hands-on experience designing systems that operate at consumer-internet/enterprise scale.
• A close look at how AI and data pipelines power an enterprise solutions in production.
• Ownership of real, production-facing modules - not sandbox projects.
• Mentorship from senior engineers, with structured code reviews and design discussions.
• Exposure to how an enterprise product is built, measured, and iterated at scale.
• Cross-functional collaboration with Product, Design, Data Science, and QA.