Software Development Engineer-II (Backend+AI)

Innovaccer

3 - 5 years

15 - 19 Lacs

noida

Posted:-1 days ago| Platform:

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Skills Required

python cloud services message queues ai schema design caching redis research microservices cloud database query optimization django apis postgresql gcp logging distributed systems ai research graphql aws observability mongodb

Work Mode

Work from Office

Job Type

Full Time

Job Description

About the Role

We at Innovaccer are looking for a Software Development Engineer-II (Backend) to build the most amazing product experience. Youll get to work with other engineers to build delightful feature experiences to understand and solve our customers pain points.

A Day in the Life

Design, develop, and maintain robust and scalable backend systems using Python, Django, MongoDB, PostgreSQL, Redis, Elasticsearch, and other relevant technologies.
Collaborate closely with product managers, frontend engineers, and other stakeholders to understand requirements, define technical solutions, and deliver high-quality software products.
Develop efficient and optimized APIs and microservices to support various frontend applications and external integrations.
Implement data models, database schemas, and perform database optimizations to ensure data integrity and performance.
Write clean, efficient, and well-documented code following industry best practices and coding standards.
Conduct code reviews, and provide constructive feedback.
Troubleshoot and resolve complex technical issues, ensuring system reliability, stability, and security.

What You Need

Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).
3- 5 years of backend engineering experience with Python (Django/FastAPI) in production-grade systems.
Strong proficiency in designing, developing, and maintaining REST/GraphQL APIs.
Experience in database schema design, query optimization, and scaling (SQL/NoSQL).
Good understanding of distributed systems, caching strategies (Redis), and message queues (Kafka, RabbitMQ).
Practical experience with testing frameworks, CI/CD, and DevOps workflows.
Hands-on experience with:

Building LLM-driven applications and prompt engineering.
At least one AI framework (LangChain, LangGraph, CrewAI) in real-world use cases.
Designing RAG pipelines using vector databases (Pinecone, ChromaDB).
Embedding models for semantic search or recommendations.

Familiarity with monitoring, observability, and logging frameworks.
Working knowledge of AI observability platforms (MLflow, LangSmith).
Ability to collaborate with frontend, AI research, and product teams.
Hands-on exposure to AWS or GCP cloud services
Strong problem-solving skills and the ability to debug and resolve complex issues.
Good communication skills, with the ability to collaborate effectively with cross-functional teams and articulate technical concepts to non-technical stakeholders.
Ability to work in a fast-paced, dynamic environment and deliver high-quality software solutions within deadlines.
Analytical thinking and a data-driven mindset to make informed decisions.
Stay up-to-date with the latest trends, technologies, and frameworks in backend development and contribute to technical discussions and decision-making processes.

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