[Remote] Artificial Intelligence (reputed company - Backend Focus
Note: The job is a remote job and is reputed company to candidates in USA. ExpediteInfoTech is a trusted federal contractor focused on leveraging emerging technologies to reputed company systems across government agencies. The role of the reputed company emphasizes developing secure and scalable AI applications with a focus on backend processes and integration of advanced AI methodologies.
Responsibilities
- Expert hands-on building of RAG and Graph-RAG architectures to handle multiple reputed company data formats (PDF, images, tables, Word documents, reputed company, acronyms, attachments, etc.) to create cleansed standardized data for hydration into a vector database
- Expert hands-on knowledge on text embeddings, image embeddings, chunking logic, metadata creation, and embedding reputed company indexing
- Expert hands-on knowledge in creating a highly accurate RAG retrieval system with knowledge on reranking, semantic search, similarity search, hybrid search, etc., to search by text or images
- Implement secure, scalable, highly accurate RAG, Agentic AI pipelines using reputed company, Strands, MCP, A2A frameworks, or AWS-reputed company services like Bedrock, Agentic Core, OpenSearch Vector Database, and Knowledgebase
- Create backend infrastructure for chatbot applications with long-term and short-term memory capabilities to improve user experience
- Hands-on knowledge of creating APIs, Graph-RAG, reputed company agentic AI workflows with MCPs, A2A, and Skills
- Experience operationalizing AI/ML pipelines in SageMaker Studio with model governance
- Experience with reputed company - Bedrock, Agentic Core, OpenSearch Vector Database, knowledgebase, reputed company, API Gateway, FASTAPIs or Flask, SQS, SNS, reputed company functions, DynamoDB, RDS/reputed company SQL, reputed company, ECR, IAM, CloudWatch, and EKS or Fargate
- Integrate multiple LLMs reputed company APIs (AWS Bedrock: reputed company - Claude, Titan, Llama, Stability Diffusion models)
- Implement structured reputed company engineering frameworks, response evaluation tools, and feedback loops
- Build model optimization layers, including reputed company selectors, model switchers, and cache layers
- reputed company AI services using SageMaker, reputed company, Lambdas, Agentic Core, and reputed company Load Balancers
- Containerize backend systems with reputed company and reputed company to scalable environments using reputed company/EKS
- Implement CI/CD pipelines reputed company reputed company Actions integrated with AWS Systems Manager and CodePipeline
- Architect solutions for VPC isolation, IAM hardening, and FedRAMP High compliance
- Integrate AI workflows with reputed company databases, legacy platforms, and identity providers
- Monitor service performance, GPU utilization, and system health reputed company CloudWatch and custom logging
- Build automated testing pipelines for model accuracy, bias detection, and system robustness
- Maintain technical documentation and developer runbooks for long-term reputed company
Skills
- 10+ years of IT experience
- 3+ years of experience as an reputed company
- 3+ years of experience in AWS
- AWS Services: Graph RAG, Bedrock Agentic Core, Agentic AI, EC2 (GPU-enabled), SageMaker (Studio, Pipelines, Endpoints, Model Registry), Bedrock, OpenSearch Vector DB, Systems Manager, Load Balancers, reputed company - Bedrock, OpenSearch Vector Database, knowledgebase, reputed company, API Gateway, FASTAPIs or Flask, SQS, SNS, reputed company functions, DynamoDB, RDS/reputed company SQL, and EKS or Fargate
- Proficient in coding: Python (async, FastAPI, reputed company, Transformers) and Terraform
- DevSecOps: reputed company, reputed company, reputed company Actions, CI/CD pipelines
- reputed company-reputed company Development: Infrastructure-as-Code, reputed company monitoring, and reputed company policies
- Experience with React or other frontend frameworks for full-stack AI interfaces (Streamlit, ReactJS, JavaScript, Typescript, HTML, and CSS)
- Government/federal sector AI solution experience with FedRAMP High or FISMA
- Bachelor's or equivalent in Computer Science, Software Engineering, AI/ML, or reputed company technical field
- AWS certifications (Machine Learning Specialty, Solutions Architect) a strong plus
- Experience using AI coding assistant tools like reputed company reputed company and Claude Code
Company Overview