UNKNOWN

FEED

Utilize AWS services including CloudFormation, CDK, Step Functions, Lambda, EventBridge, DynamoDB, S3, Glue, and Athena to design and orchestrate robust cloud infrastructures. Integrate and manage Amazon Knowledge Bases and Vector Databases to enhance contextual understanding and retrieval-augmented generation (RAG) workflows.

<h3>Key Responsibilities:</h3><ul><li>Design, develop, and implement Generative AI solutions leveraging Amazon Bedrock and related AWS services.</li><li>Configure and optimize Amazon Bedrock Agent Orchestration for intelligent workflow and model lifecycle management.</li><li>Apply Prompt Engineering methodologies for fine-tuning and optimizing AI model outputs.</li><li>Implement Amazon Bedrock Guardrails to ensure compliance, brand safety, and responsible AI governance.</li><li>Integrate and manage Amazon Knowledge Bases and Vector Databases to enhance contextual understanding and retrieval-augmented generation (RAG) workflows.</li><li>Employ MLOps practices to automate model training, deployment, and monitoring within enterprise environments.</li><li>Build and maintain CI/CD pipelines to support scalable and efficient deployment of AI and cloud-native applications.</li><li>Utilize AWS services including CloudFormation, CDK, Step Functions, Lambda, EventBridge, DynamoDB, S3, Glue, and Athena to design and orchestrate robust cloud infrastructures.</li><li>Develop infrastructure as code (IaC) solutions using AWS CDK and CloudFormation, ensuring version control and repeatable deployments.</li><li>Collaborate with data scientists, solution architects, and DevOps teams to integrate AI capabilities with existing business systems.</li><li>Create and maintain comprehensive technical documentation, including runbooks, design documents, and troubleshooting guides for deployed solutions.</li><li>Ensure all solutions meet AWS best practices for security, compliance, scalability, and cost optimization.</li></ul><hr/><h3>Required Skills & Experience:</h3><ul><li>10+ years of hands-on experience in AWS Cloud Computing within enterprise environments.</li><li>Proven experience with Amazon Bedrock, including agent orchestration, workflow management, and model fine-tuning.</li><li>Strong knowledge of Generative AI architectures, LLM integration, and Prompt Engineering techniques.</li><li>Expertise in AWS Cloud Development Kit (CDK), CloudFormation, and Infrastructure as Code (IaC) principles.</li><li>Proficiency with AWS services such as S3, Lambda, EventBridge, DynamoDB, Glue, Step Functions, and Athena.</li><li>Experience implementing MLOps pipelines using AWS-native tools and frameworks.</li><li>Solid understanding of CI/CD pipeline automation using AWS or third-party tools (e.g., CodePipeline, Jenkins, GitHub Actions).</li><li>Familiarity with security and compliance standards for AI and cloud environments.</li><li>Strong problem-solving, analytical, and communication skills, with a proven ability to work collaboratively across technical and non-technical teams.</li></ul><hr/><h3>Preferred Qualifications:</h3><ul><li>AWS Certified Solutions Architect / DevOps Engineer / Machine Learning Specialty certification.</li><li>Experience deploying Retrieval-Augmented Generation (RAG) systems using AWS Bedrock and vector search technologies.</li><li>Prior experience integrating LLMs (e.g., Anthropic Claude, Amazon Titan, or other Bedrock models) into enterprise solutions.</li><li>Working knowledge of Python, TypeScript, or Java for automation and API integration.</li></ul>

Purple Drive

Senior AWS Cloud & Generative AI Engineer

AWS Lambda

Amazon Simple Storage Service (S3)

Amazon Web Services (AWS)

Analysis Skills

Application Programming Interface (API)

Artificial Intelligence (AI)

Automation

Best Practices

Business Solutions

Cloud Applications

Cloud Computing

Communication Skills

Continuous Deployment/Delivery

Continuous Integration

Cost Control

Data Science

Design Document

DevOps

GitHub

Identify Issues

Java

Jenkins

Knowledge Base

Machine Learning

Maintain Compliance

Management Strategy

Problem Solving Skills

Python Programming/Scripting Language

Regulatory Compliance

Safety Compliance

Software Engineering

Source Code/Configuration Management (SCM)

Team Player

Technical Writing

Oorwin

ADAPTED_NOW

The ideal candidate should have hands-on experience building production-grade AI systems, including Retrieval-Augmented Generation (RAG) platforms, vector search pipelines, autonomous AI agents, and scalable ML model deployment. The role requires expertise in Python-based ML development, LLM frameworks, vector databases, and AI orchestration frameworks such as LangChain, LangGraph, and Hugging Face.

Senior AI / GenAI Engineer ( F2F interview is required) ( Banking/Finance domain) Type: Contract Location: GA/ NY ( Hybrid 3 days) Rate: DOE Job Summary: Candidates must have experience delivering enterprise AI solutions in production environments, NOT only POC or personal projects/Educational Projects . We are seeking a Senior AI / GenAI Engineer with strong experience in machine learning, generative AI, and enterprise-scale AI platform development. The ideal candidate should have hands-on experience building production-grade AI systems, including Retrieval-Augmented Generation (RAG) platforms, vector search pipelines, autonomous AI agents, and scalable ML model deployment. The role requires expertise in Python-based ML development, LLM frameworks, vector databases, and AI orchestration frameworks such as LangChain, LangGraph, and Hugging Face. Skill Matrix (Provide this for all profile submissions): GenAI Engineer- Skill/Competency | Hands-on experience in years. Enter 0 if you have theoretical knowledge | Rating (1-10) 10 Highest Python RAG, Vector DB, Chunking, Embedding Data Pre-Processing Prompt Engineering GenAI Models Familiarity Framework & Libraries - LangChain, Hugging Face, Langgraph similar framework build autonomous loop Azure Cloud Computing/OpenAI services API Integration and Development Gen AI solution built for enterprise solutions (Not POC, Educational, Personal) Mandatory In-person interview in GA or NY - Enter Yes to confirm. Key Responsibilities: • Strong Python development experience (7+ years). • Hands-on experience with RAG, Vector DB, Embeddings and document chunking, Semantic search pipelines • Experience with LangChain, LangGraph, and Hugging Face. • Experience with Pandas, NumPy, and data preprocessing pipelines. • Experience deploying ML models as REST APIs and integrating AI with enterprise systems. Required Skills & Qualifications: • ** Mandatory In-person interview in GA or NY • ** Experience with enterprise level projects only - No college, Educational, POC Projects • Strong Python development experience (7+ years). • Hands-on experience with RAG, Vector DB, Embeddings and document chunking, Semantic search pipelines • Experience with LangChain, LangGraph, and Hugging Face. • Experience with Pandas, NumPy, and data preprocessing pipelines. • Experience deploying ML models as REST APIs and integrating AI with enterprise systems. Preferred Qualifications: • Experience with Natural Language Processing (NLP) and Deep Learning. • Familiarity with Transformers and Large Language Models (LLMs). • Experience with Cloud ML platforms such as Azure AI, AWS SageMaker etc Nice to Have: • Experience building AI agents or autonomous systems. • Knowledge of vector databases (Pinecone, Weaviate, Milvus, FAISS). • Experience with MLOps practices, Docker, and Kubernetes. • Exposure to multimodal AI systems.

Georgia Tek Systems

Senior AI / GenAI Engineeri in GA/ NY (Hybrid 3 days)

Artificial Intelligence (AI) Agents

Data Management

Deep Learning

Docker

Microsoft Windows Azure

Modeling Languages

Natural Language Processing (NLP)

Production Systems

REST (Representational State Transfer)

Semantic Search

Shallow Parsing

United States Department of Energy (DOE)

YEAR

At its core is a massively scalable multi-model database that unifies graph, vector, document, and key-value data with full-text, geospatial, and vector search — creating the System of Context, the bridge between enterprise data and LLMs. The Arango AI Data Platform gives developers a single, integrated environment to build and scale AI-powered applications without the complexity of stitching together multiple databases and tools.

Gen AI Engineer Intern About ArangoAt <a href="https://arangodb.com/" rel="nofollow" style="text-decoration:none">Arango</a>, we believe the first generation of enterprise AI missed something essential: context. LLM models are powerful, but they didn’t understand the context needed to deliver accurate answers.<h3 style="line-height:1.38;margin-top:19px;margin-bottom:5px">Arango provides a trusted data foundation for the next wave of Enterprise AI with graph-based Contextual AI — transforming enterprise data into a System of Context that truly represents the business, so LLMs can deliver better outcomes with unlimited scale and cost efficiency.</h3><h3 style="line-height:1.38;margin-top:16px;margin-bottom:16px">The Arango AI Data Platform gives developers a single, integrated environment to build and scale AI-powered applications without the complexity of stitching together multiple databases and tools. At its core is a massively scalable multi-model database that unifies graph, vector, document, and key-value data with full-text, geospatial, and vector search — creating the System of Context, the bridge between enterprise data and LLMs.</h3>We’re a global team based in California and Cologne, united by curiosity, collaboration, and a passion for helping developers, data engineers, and technology leaders innovate faster and smarter with AI. Trusted by NVIDIA, HPE, the London Stock Exchange, the U.S. Air Force, NIH, and Articul8, Arango powers enterprise AI with context, confidence, and scale..We are a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. If you’re excited about shaping the future of Contextual AI, come build with us. Location** Remote **Compensation The internship begins as an unpaid program, offering an immediate pathway to convert to a paid position based on a successful performance review at the designated milestone." <h2 style="line-height:1.2;margin-top:16px;margin-bottom:16px">About the Role</h2><ul><li style="list-style-type:disc">As a part of our team, you oversee the technical development of ArangoDB in the Python-based AI universe</li><li style="list-style-type:disc">You own Python features that you develop for ArangoDB’s GenAI Suite</li><li style="list-style-type:disc">You maintain several Python-based repositories</li><li style="list-style-type:disc">You evaluate the latest developments and innovations in the Python and AI field to further apply them in your work</li><li style="list-style-type:disc">You hold talks and webinars about your projects at conferences and relevant user groups (optional)</li><li style="list-style-type:disc">Other duties as assigned from time to time. </li></ul><h2 style="line-height:1.2;margin-top:16px;margin-bottom:16px"> Your Skills</h2><ul><li style="list-style-type:disc">You bring at least 3 years of Python experience to the table</li><li style="list-style-type:disc">You are familiar with NoSQL/SQL, Linux, Docker and Kubernetes</li><li style="list-style-type:disc">You are passionate about solving complex problems, using an analytical approach</li><li style="list-style-type:disc">Bonus points for:<ul><li style="list-style-type:circle">Experience with database systems and Data/ML/GenAI ecosystems </li><li style="list-style-type:circle">Experience with Cloud-native development (AWS, Kubernetes,...)</li><li style="list-style-type:circle">Open Source experience </li></ul></li></ul> Why Join ArangoDBOur headquarters is in San Francisco (US) and we have an office in Cologne (Germany), but most of our diverse team works remotely worldwide. So, do you prefer your desk at home or do you want to join us at one of our locations? Your choice.The global minds of <a href="https://arangodb.com/" rel="nofollow" style="text-decoration:none">Arango</a> team comes from 5 different continents and more than 20 countries. Diverse backgrounds enable us to see new solutions. We invite people from every culture, national origin, religion, sexual orientation, gender identity or expression, and of every age to apply to our positions. All employment decisions are based on business needs, job requirements, and individual qualifications. Arango is committed to a workplace free of discrimination and harassment based on any of these characteristics. We love this diversity and encourage everyone curious and visionary to join the multi-model movement.Powered by JazzHR

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Senior AWS Cloud & Generative AI Engineer Purple Drive

Senior AI / GenAI Engineeri in GA/ NY (Hybrid 3 days) Georgia Tek Systems

AI Intern 2026 Arango

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