Job Location : Bangalore

Experience : 10 Yr

CTC Budget : 3000000 to 3600000

Posted At : 13-Nov-2025

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• Define and implement scalable, secure, and high-performance architectures for GenAI and Agentic AI solutions. 

• Design APIs, microservices, and distributed systems leveraging Python and FASTAPI. 

• Drive best practices in software architecture, design patterns, and scalability. 

• Development & Implementation 

• Develop AI-driven applications and services using Python and modern frameworks. 

• Build and integrate LLMs and AI agents into enterprise workflows. 

• Apply MLOps and DevOps practices for continuous integration, deployment, and monitoring of AI solutions. 

• Cloud & Infrastructure 

• Leverage AWS services (Lambda, ECS/EKS, S3, DynamoDB, SageMaker, etc.) to design and deploy cloud-native AI applications. 

• Ensure solutions are optimized for scalability, availability, performance, and cost-efficiency.

 • Implement security and compliance standards in cloud-based AI workloads. 

• Leadership & Collaboration 

• Work proactively as an individual contributor with ownership of design and delivery. 

• Lead and mentor team members when required, providing architectural guidance and technical leadership. 

• Collaborate with data scientists, engineers, and product managers to deliver impactful AI solutions. 

• Problem Solving & Innovation 

• Troubleshoot complex system and application issues with a solution-oriented approach. 

• Stay ahead of industry trends in GenAI, Agentic AI, and large-scale distributed systems. 

• Experiment with emerging frameworks (e.g., LangChain, LlamaIndex) to enhance AI capabilities. 

 

 

Required Qualifications 

• 12+ years of software development and architecture experience. 

• Strong expertise in Python development. 

• Proven experience with FASTAPI for building APIs and services. 

• Hands-on experience with AWS cloud services for development and deployment. 

• Experience in designing and developing applications for scale in distributed environments. 

• Expertise in Generative AI and Agentic AI (LLMs, AI agents, orchestration frameworks). 

• Excellent problem-solving and troubleshooting skills. 

• Ability to work independently and lead teams when necessary. Preferred Qualifications 

• Experience with containerization and orchestration (Docker, Kubernetes). 

• Familiarity with event-driven and microservices architectures. 

• Good to have - Knowledge of MLOps frameworks (Kubeflow, MLflow, SageMaker, Vertex AI). 

• Understanding of data privacy, governance, and compliance in AI systems.