C C Python Programming Jobs in India

Roles and Responsibilities

• Design, develop, and maintain high-performance backend services that support business-critical applications.
• Collaborate with architects, product owners, and QA teams to translate requirements into scalable technical solutions.
• Implement API-driven features with strong attention to reliability, security, and maintainability.
• Apply sound software engineering principles (OOP, SOLID, and Clean Architecture) to produce extensible codebases.
• Build and integrate microservices and components following defined application architecture standards.
• Develop data access layers using efficient ORM patterns and optimize database interactions.
• Write and maintain comprehensive automated tests to ensure correctness and prevent regressions.
• Participate in code reviews, mentorship, and continuous improvement of development practices.
• Troubleshoot production issues, analyze root causes, and implement durable fixes and enhancements.
• Support deployment readiness by collaborating on build, configuration, and release processes.

Required Qualifications

• Strong experience delivering backend systems using modern server-side .NET technologies.
• Proficiency in building and consuming Web APIs and integrating external services reliably.
• Hands-on experience with API development, versioning considerations, and robust error handling.
• Working knowledge of unit testing practices and the ability to maintain testable code.
• Solid understanding of OOP concepts and the ability to apply SOLID design principles effectively.
• Experience implementing Clean Architecture or similarly structured approaches for maintainability.
• Practical experience with microservices and application architecture patterns.
• Proficiency with EF Core for data modeling, querying, migrations, and performance-aware data access.
• Ability to analyze requirements, estimate effort, and deliver features with minimal supervision.
• Good communication skills for coordination in an onsite environment in Kochi, Kerala, India.

Key Responsibilities

• Own end-to-end development of backend features including API endpoints, service logic, and data access.
• Design service contracts and implement integrations to ensure seamless communication across systems.
• Structure codebases using Clean Architecture patterns to keep business logic isolated and testable.
• Create unit tests for core components and maintain coverage aligned with quality standards.
• Implement database interactions using EF Core with performance and consistency in mind.
• Ensure services follow best practices for scalability, observability, and resilient behavior.
• Coordinate with team members to validate design choices, manage dependencies, and uphold standards.
• Conduct peer reviews and provide constructive feedback to improve overall code quality.
• Investigate defects in development and production, document findings, and implement corrective actions.
• Deliver solutions in an onsite setup at Kochi, Kerala, India, participating in daily technical collaboration.

We are looking for a GenAI Engineer (LLM Engineer) to build and scale LLM-powered SaaS applications with a secure, scalable, and high-performance architecture. In this role, you will be responsible for integrating Large Language Models (LLMs) into production applications, developing intelligent AI workflows, and building solutions that leverage Retrieval-Augmented Generation (RAG), Prompt Engineering, and Vector Databases.

As an AI Integration Engineer, you will work on integrating LLM APIs, designing and optimizing RAG pipelines, managing Vector Databases, and collaborating with product and engineering teams to deliver scalable AI-powered features. You will also ensure application security, monitor performance, optimize latency and cost, and build reliable AI solutions that enhance the overall SaaS platform.

Key Responsibilities

• Integrate LLM APIs to build intelligent automation, parsing, and conversational AI solutions.
• Design and develop Retrieval-Augmented Generation (RAG) Pipelines.
• Create and optimize Prompt Engineering workflows for AI applications.
• Build, manage, and optimize Vector Databases for efficient knowledge retrieval.
• Ensure data security, compliance, and high-performance AI architecture.
• Monitor and optimize AI model quality, latency, and operational cost.
• Collaborate with Product and Engineering teams to deliver scalable AI-powered SaaS features.

Experience Required

• 3+ years of backend development experience using Python, Go, or Node.js.
• Experience building LLM Applications using OpenAI, Claude, or Hugging Face.
• Hands-on experience with LangChain or LlamaIndex.
• Strong understanding of Retrieval-Augmented Generation (RAG).
• Experience with Vector Databases such as Pinecone, Weaviate, or pgvector.
• Experience working with Cloud Platforms (AWS, GCP, or Azure).
• Knowledge of APIs, Microservices, and Prompt Engineering.

Preferred

• Experience in FinTech or SaaS domain.
• Exposure to LLMOps and Model Fine-tuning.

Skills Required

Must Have

• Model Integration.
• Retrieval-Augmented Generation (RAG) Pipelines.
• Vector Database implementation and management.
• Security and Compliance best practices.
• AI Performance Monitoring and Optimization.

Preferred

• CI/CD for AI Applications.
• Observability for AI systems.

Education & Qualification

• B.Tech / BCA or Technical Certification.