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 on AWS Bedrock. The ideal candidate will have hands-on experience with LLM-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.