Backend Solutions Engineer Intern
Role Overview
The Backend Solutions Engineer Intern is a backend-first role focused on making products work inside specific customer environments.
The role combines backend engineering with customer implementation and focuses on APIs, integrations, data, authentication, reliability, and AI/LLM workflow adaptation.
Key Skills for This Role
Full Job Posting
About EvolutionCo
EvolutionCo builds technology-led digital products and AI platforms for enterprise and institutional use.
Its engineering work includes AI-powered learning, content generation, analytics, integrations, identity and access management, APIs, and distributed backend systems.
Role Overview
The Backend Solutions Engineer Intern is a backend-first role focused on making products work inside specific customer environments.
The role combines backend engineering with customer implementation and focuses on APIs, integrations, data, authentication, reliability, and AI/LLM workflow adaptation.
What You Will Work On
- Build integrations with customer and third-party systems using APIs, webhooks, SSO, and data connectors.
- Develop backend services, endpoints, workers, scripts, and deployment utilities.
- Adapt RAG pipelines, prompt configurations, embeddings, and model connectors to customer data.
- Build technical proofs of concept and backend prototypes.
- Work with authentication, authorization, role-based access, multi-tenancy, API security, and secrets.
- Migrate and validate customer data and design schemas, mappings, and data models.
- Debug issues across services, APIs, logs, databases, and background jobs.
- Write tests, support CI/CD checks, automate repetitive tasks, and create internal tooling.
- Produce technical documentation and collaborate with solutions, product, and customer-facing teams.
Technical Environment
- Languages include Python, SQL, JavaScript or TypeScript, and Bash.
- Backend technologies include FastAPI, Flask, Django, and Node.js or Express.
- Data technologies include PostgreSQL, MySQL, MongoDB, schemas, and migrations.
- Integration technologies include REST, GraphQL, webhooks, gRPC, API keys, and rate limits.
- Identity technologies include OAuth 2.0, OIDC, SAML or SSO, JWT, and secrets management.
- AI and LLM technologies include OpenAI, Anthropic Claude, Google Gemini, RAG, embeddings, and vector databases.
- Async and DevOps technologies include Redis, background workers, Docker, GitHub, CI/CD, and cloud platforms.
- Observability and support tools include logging, monitoring, tracing, Postman, Insomnia, and curl.
Required Skills
- Strong programming fundamentals in Python or another backend language, including data structures, algorithms, and object-oriented programming.
- Good understanding of REST APIs, HTTP, backend development, and API error handling.
- Working knowledge of SQL and relational database fundamentals.
- Basic understanding of authentication, authorization, API security, JWT, or OAuth.
- Hands-on experience calling an AI or LLM API or building an AI-powered backend feature.
- Comfort with Git, debugging unfamiliar code, and tracing requests through a system.
- Ability to write clean, maintainable, tested, and documented code.
- Clear written and verbal communication for technical documentation and customer-adjacent work.
Eligibility and Preferred Experience
- Applicants should be pursuing or have recently completed a relevant degree or diploma, while strong self-taught builders with demonstrable projects are also welcome.
- Academic projects, personal projects, GitHub repositories, hackathons, internships, and freelance work demonstrating the ability to build and ship are valued.
- Experience with backend frameworks, integrations, identity systems, RAG, data migration, Docker, cloud platforms, testing, or CI/CD is advantageous.
- Client-facing, technical support, consulting, implementation, or freelance experience is advantageous.
Internship Development Framework
- The internship includes structured onboarding, clear task allocation, a learning roadmap, mentoring, and ongoing performance evaluation.
- Interns will gain hands-on experience with backend integrations, enterprise AI, identity, data, APIs, multi-tenancy, testing, and production support.
- Strong performers may be considered for full-time conversion subject to business need and role availability.
Compensation
- Pay is up to ₹10,000 per month.
Workplace
- Work location is in person at the company's office in Marol, Andheri East.
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