GenAI Senior Developer

Job Title: GenAI Senior Developer - AWS Bedrock Role Type: Contract Duration: 6 Months Location: Dallas, TX (Onsite) Experience: 7+ Years Skill Category: Digital Cloud DevOps Job Summary We are seeking a highly skilled GenAI Senior Developer with strong Cloud DevOps expertise to design, build, and deploy enterprise-grade Generative AI solutions onAWS Bedrock. The ideal candidate will have hands-on experience withLLM-based applications, cloud-native architectures, and DevOps automation, ensuring scalable, secure, and reliable AI platforms. Key Responsibilities Design, develop, and deploy Generative AI applications using AWS Bedrock and foundation models. Build and optimize LLM pipelines, including prompt engineering, inference workflows, and model integrations. Implement Retrieval-Augmented Generation (RAG) solutions using vector databases and semantic search. Develop backend services using Python and/or NodeJS for AI-driven applications. Automate cloud infrastructure using Terraform / CloudFormation following Infrastructure-as-Code (IaC) best practices. Build and manage CI/CD pipelines for AI and cloud workloads using Git-based workflows. Deploy and manage workloads on AWS services such as Lambda, ECS, EKS, EC2, S3, DynamoDB, API Gateway, and SQS. Ensure high availability, scalability, and performance of GenAI platforms. Implement monitoring, logging, and observability using CloudWatch and APM tools. Apply security best practices including IAM roles, encryption, secrets management, and compliance controls. Collaborate with data scientists, ML engineers, and DevOps teams to productionize AI models. Troubleshoot production issues and optimize system reliability using SRE principles. Required Skills 7+ years of experience in Cloud DevOps / Software Engineering. Strong expertise in AWS Cloud and cloud-native architectures. Hands-on experience with AWS Bedrock and Generative AI solutions. Proficiency in Python (preferred) and/or NodeJS. Experience with LLMs, prompt engineering, RAG, vector databases (Pinecone, FAISS, OpenSearch, etc.). Strong experience with Terraform and Infrastructure-as-Code. CI/CD experience using GitLab, GitHub, or Jenkins. Experience with Docker and Kubernetes (EKS/ECS). Strong understanding of Linux, networking, and cloud security. Excellent troubleshooting and problem-solving skills. Preferred Qualifications Experience with LangChain, Agents, Agentic AI frameworks. Knowledge of MLOps practices and model lifecycle management. Experience with APM tools like Dynatrace, Datadog, or New Relic. Prior experience deploying enterprise-scale GenAI platforms. Strong communication skills and ability to work onsite with cross-functional teams.