Senior Backend Developer – Generative AI Platforms (AWS)

Location : Hybrid – Bangalore

Experience : 4+ Years (including 1–2 years in AI / GenAI platforms)

Joining Timeline : Immediate / Within 15 Days

Hiring For : A Leading Technology Client (via YMinds.AI )

Our client is seeking a highly capable Senior Backend Developer to design and scale next-generation Generative AI platforms built on AWS. This opportunity is ideal for professionals with strong backend foundations and hands-on experience integrating AI capabilities into production-ready cloud systems.

Key Responsibilities Backend Engineering & API Development Develop scalable backend services in Python , emphasizing performance, security, and reliability.

Build RESTful APIs and modular microservices powering real-time platform features.

Integrate with AWS services such as Lambda , S3 , DynamoDB , API Gateway , and OpenSearch for GenAI-driven workflows.

Cloud-Native Architecture & AWS Engineering Architect and deploy cloud-native solutions aligned with AWS best practices .

Implement serverless and event-driven architectures for agility and cost optimization.

Ensure high availability, scalability, and maintainability across backend systems.

Agile Collaboration & Development Lifecycle Work closely with product, DevOps, and data teams to convert business needs into robust backend solutions.

Participate in sprint planning, stand-ups, retrospectives, and peer code reviews.

Contribute actively to iterative development cycles and continuous integration pipelines.

Performance Optimization & Innovation Optimize backend systems for throughput, low latency, and reliability.

Stay updated on Generative AI advancements and propose impactful integrations.

Lead technical enhancements, system improvements, and performance refinement.

Required Skills & Qualifications Must-Have Bachelor's degree in Computer Science, Engineering, or related field.

4+ years of overall experience in backend development, primarily with Python .

1–2 years of hands-on experience with AI / GenAI platforms or AI-driven applications.

Strong expertise with AWS services (Lambda, S3, DynamoDB, API Gateway, etc.).

Strong grasp of data structures , algorithms , and performance tuning.

Proficiency with Git workflows and CI / CD pipelines .

Excellent communication, collaboration, and analytical problem-solving skills.

Good-to-Have Experience integrating LLMs or using GenAI frameworks.

Familiarity with serverless architecture and event-driven patterns.

Exposure to streaming pipelines, messaging queues, or distributed systems.

Bonus : Knowledge of frontend or full-stack development.

Experience with Jira, Confluence, or similar tools.

Why Join? Work on cutting-edge Generative AI initiatives with real-world scale.

Collaborate with talented engineering teams building modern, cloud-native architectures.

Influence the design and evolution of high-impact AI platforms.

Join an innovative and fast-paced environment via YMinds.AI , with opportunities for career growth.

Keywords : Python Backend, Generative AI, GenAI Platforms, AWS Lambda, Serverless Architecture, Microservices, REST APIs, DynamoDB, OpenSearch, Cloud-Native Development, AI Integration, LLM Integration, Python Developer, Backend Engineer, CI / CD, Agile Development.

Hashtags :

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