Grade 9- Software Development Senior Specialist Role Description: We are looking for a highly skilled Senior Developer with 8+ years of overall IT experience and strong hands-on expertise in AWS cloud development and AI-driven solution engineering. The candidate will play a key role in developing, deploying, and supporting AWS Platform-to-Application (P2A) initiatives and Agentic AI-based enterprise solutions. This role requires strong coding capabilities, real-time AWS deployment experience, and practical exposure to Generative AI and Agentic AI systems. The ideal candidate should be execution-focused, technically strong, and capable of working independently in production environments. Role Responsibilities: A. AWS Development & Deployment o Design, develop, and deploy scalable applications on AWS. o Implement cloud-native architectures using serverless and container-based services. o Support AWS P2A deployment activities under architectural guidance. o Develop Infrastructure as Code (IaC) using Terraform / CloudFormation. o Implement CI/CD pipelines and DevOps best practices. o Ensure secure, resilient, and cost-optimized AWS implementations. o Participate in environment setup, configuration, and production releases. o Troubleshoot and resolve production issues in real-time deployments. B. Agentic AI & AI Solution Development o Develop AI-powered applications leveraging LLMs and foundation models. o Implement RAG (Retrieval-Augmented Generation) pipelines. o Build and integrate multi-agent workflows and orchestration logic. o Integrate vector databases for contextual AI applications. o Work with AWS Bedrock / SageMaker for AI model integration. o Implement prompt engineering techniques and AI evaluation strategies.



o Ensure production readiness, monitoring, and logging of AI solutions. C. Application Engineering o Develop REST APIs and microservices (FastAPI / Flask preferred). o Write clean, maintainable, and production-grade Python code. o Implement secure authentication and authorization mechanisms. o Perform unit testing, integration testing, and performance tuning. o Collaborate with architects, DevOps teams, and AI specialists. o Participate in code reviews and technical discussions. Mandatory Technical Skills: AWS (Strong Hands-On Experience Required) o Minimum 4-5 years of hands-on AWS experience. o Core services: EC2, S3, Lambda, API Gateway, RDS, DynamoDB. o Networking basics: VPC, Security Groups, Load Balancers. o Containerization: Docker, EKS/ECS. o IAM roles and security best practices. o Monitoring: CloudWatch. o Infrastructure as Code: Terraform or CloudFormation. o Experience in real-time production deployments. AI / GenAI / Agentic AI o Experience developing LLM-based applications. o Hands-on experience with: ? LangChain / LangGraph / LlamaIndex or similar frameworks. ? RAG implementation. ? Vector databases (FAISS, Pinecone, OpenSearch, pgvector). o Understanding of embeddings, tokenization, and prompt engineering. o Exposure to multi-agent or workflow orchestration frameworks.



o Experience integrating OpenAI / Bedrock / similar foundation models. Programming o Strong proficiency in Python (mandatory). o Experience with REST APIs (FastAPI / Flask). o Familiarity with Git and CI/CD tools. o Strong debugging and troubleshooting skills. Desired Skills o Experience with AWS Bedrock or SageMaker. o Kubernetes exposure. o Event-driven architecture (SNS/SQS/Kafka). o Knowledge of AI model monitoring and guardrails. o Experience with frontend frameworks (React/Angular). o Exposure to DevSecOps practices. o Knowledge of database optimization (SQL/NoSQL). Behavioral & Professional Traits Technical Execution o Strong hands-on developer mindset. o Ability to independently handle development and deployment tasks. o Detail-oriented and quality-focused. Problem Solving o Strong debugging and root cause analysis skills. o Ability to work in production support scenarios. Communication Skills o Valuable verbal and written communication. o Ability to interact with architects and senior stakeholders. o Ability to clearly articulate technical issues and solutions. Collaboration o Works effectively in Agile teams. o Proactive in identifying risks and proposing solutions. o Willingness to learn emerging AI technologies. Experience requirement: o 8+ years of overall IT experience. o 4-5 years of AWS hands-on experience. o 1-2 years of experience in AI/GenAI solution development. o Experience working in enterprise-level production environments. Educational Qualification o Bachelor's degree in Computer Science, Engineering, or related field. o AWS Associate certification preferred. o AI/ML certifications are an added advantage.

📌 Software Development Senior Analyst (Chennai)
🏢 NTT America
📍 Chennai