Top 73 database vector database container cloud Jobs

AI Engineer
CHROMEIS —Remote
- Email
- Remote
- Azure
- Computer Science
- Master's degree
Cybersecurity Threat Senior Analyst- Cloud Cybersecurity Analyst
Truist Bank —Washington, DC
- $100,000 - $140,000 a year
- Full-time
- Azure
- Computer Science
- 5 years
- AD&D insurance
- Paid holidays
Senior AI Engineer
Craftable —Farmers Branch, TX
- Full-time
- ERP systems
- System design
- AWS
- Health insurance
- Dental insurance
Quick Apply
Senior Software Engineer - SRE
OneTrust —Atlanta, GA
- $116,475.00 - $174,712.50 a year
- Email
- Computer science
- Computer Science
- System design
- Paid parental leave
- Paid time off
Quick Apply
3d
AI Dev Lead– LLM & Applied AI Solutions
AIS InfoSource —Dallas-Fort Worth, TX
- Azure
- Computer Science
- Basic math
Machine Learning Engineer (Clearance Sponsorship)
CACI —Chantilly, VA
- $113,200 - $237,800 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Health insurance
Customer Engineer
Render —Remote
- $162,000 - $210,000 a year
- Full-time
- Remote
- Mid-level
- Commercial
- Commuter assistance
- Paid parental leave
3h
Lead Software Engineer II, AI Operations
Best Egg —Remote
- $150,000 - $170,000 a year
- Full-time
- Mentoring
- Senior level
- Python
- Paid parental leave
- Paid holidays
Site Reliability Engineer
Veritone —Remote
- $130,000 - $140,000 a year
- Full-time
- Computer science
- 7 years
- Computer Science
- Health insurance
- Paid time off
Senior Software Engineer
DASI LLC —Doral, FL
- Computer science
- 6 years
- Computer Science
Quick Apply
Manager, Development
Intercontinental Exchange Holdings, Inc. —Jacksonville, FL
- Full-time
- Azure
- Computer Science
- 3 years
14d
Senior Solutions Architect - Emerging Technologies (AI, GenAI, ML)
Empower Annuity Insurance Company of America —Greenwood Village, CO
- $138,000 - $200,100 a year
- Remote
- Azure
- Computer Science
- 5 years
- Paid parental leave
- Paid holidays
10d
Infrastructure Engineer (Backend)
Counsel Health —New York, NY
- $180,000 - $225,000 a year
- Full-time
- Hybrid work
- Azure
- HIPAA
- 3 years
- Health insurance
- Dental insurance
Technical Architect - Machine Learning
Quantiphi —Remote
- Full-time
- 6 years
- System design
- Mentoring
Development Manager (Full Stack Engineer)
Skyventure Management LLC —Austin, TX
- $125,000 a year
- On call
- Hybrid work
- Computer science
- Azure
- Computer Science
- Store discount
- Health insurance
Quick Apply
Senior Oracle Developer/DBA (Secret Clearance Required) - DEA
ITC Federal, Inc. —Chantilly, VA
- $150,000 - $157,000 a year
- Full-time
- Hybrid work
- Office
- Mentoring
- Linux
- Paid holidays
- Health insurance
4d
Senior IT Infrastructure Support
Community Clinic Inc. —Silver Spring, MD
- $70,000 - $85,000 a year
- Full-time
- Computer Science
- System design
- AWS
- Tuition reimbursement
- Paid time off
Quick Apply
AI Integration Engineer
Booz Allen —Annapolis Junction, MD
- $112,800 - $257,000 a year
- Full-time
- Computer Science
- System design
- Office
- Health insurance
- Flexible spending account
Java Engineer
Tata Consultancy Services —Austin, TX
- $110,000 - $125,000 a year
- Computer Science
- System design
- Java
- Commuter assistance
- Health insurance
Senior Full-Stack Software Engineer (Theme Park Focused)
Court Avenue —Orlando, FL
- $115,000 - $145,000 a year
- Full-time
- Spanish
- Computer science
- Azure

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AI Engineer

CHROMEIS
Remote

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Job Details

Qualifications

AI models
Version control
Continuous Delivery (CD) implementation
Text mining tools
Generative models
Git
Microservices
Machine intelligence
Model deployment
Supervised learning
Developing large-scale AI models
Model training
DevOps automation
Unsupervised learning
Model evaluation
MLOps
Feature engineering
Generative AI

Full Job Description

Position Overview:

We are looking to onboard for 1 AI Engineer (AI Engineer – Conversational AI & Application Development). The candidate will need to be collaborative, organised, think out-of-the-box, and be ready to pursue new opportunities. Most importantly, this role is for an individual who is passionate about making a difference through healthcare.

Role Summary

We are seeking a talented AI Engineer to design, develop, and deploy sophisticated conversational agents and AI‑powered applications. The successful candidate will combine strong software‑engineering skills with a deep interest in modern AI techniques. This role will give you the opportunity to work with the latest multi‑agent orchestration frameworks—LangGraph, AutoGen, CrewAI, and Google’s Agent Developer Kit (ADK)—while harnessing the scalability of Google Cloud Platform (GCP) services such as BigQuery, Cloud Run, Kubernetes (GKE), and IAM.

Key Responsibilities

Design and build multi‑agent conversational systems leveraging LangGraph, AutoGen, CrewAI, ADK, or similar frameworks.
Collaborate with product managers, designers, and engineers to define user journeys, agent capabilities, and integration points.
Develop robust, scalable backend services and APIs (Python/Golang/Node.js/Java) to power AI agents and orchestration workflows.
Apply advanced Natural Language Processing (NLP), Retrieval‑Augmented Generation (RAG), and LLM fine‑tuning techniques for intent recognition, entity extraction, and dynamic dialogue management.
Deploy and operate conversational workloads on GCP Cloud Run (serverless) and Kubernetes (GKE), following DevOps best practices and implementing secure access controls with IAM.
Leverage BigQuery for large‑scale data analytics to train, evaluate, and refine ML models and conversational metrics.
Design and develop interactive dashboards in Power BI or Tableau to visualize conversational KPIs, model performance, and business insights.
Integrate conversational agents with enterprise systems (databases, CRMs, ERPs) and third‑party APIs.
Implement observability, evaluation, and monitoring for agent performance (latency, accuracy, hallucination rate) using tools like Arize Phoenix, Langfuse, and LangSmith.
Contribute to the full software development lifecycle: requirements, architecture, coding, testing, CI/CD, deployment, and maintenance.
Troubleshoot and resolve production issues to ensure high availability and optimal performance.
Document technical designs, decisions, and model specifications for cross‑functional reference.

Required Qualifications

Must have: hands-on experience with agentic systems, including agentic design patterns and code-based agent frameworks for building and deploying autonomous or conversational agent.

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.

Proficiency in one or more backend languages/frameworks:

Python (FastAPI, Flask, Django)

Java (Spring Boot)

Node.js (Express, NestJS)

Go (Gin, Fiber)

Experience building RESTful or GraphQL APIs and designing microservices.

Solid grasp of machine‑learning fundamentals: supervised/unsupervised learning, evaluation metrics, feature engineering.

Familiarity with modern NLP libraries (spaCy, Haystack, Hugging Face Transformers, LlamaIndex).

Strong version‑control habits (Git, trunk‑based development) and CI/CD pipelines.

Excellent problem‑solving, communication, and collaboration skills.

Passion for continuous learning and adapting to emerging AI technologies.

Preferred Qualifications

Hands‑on experience creating and deploying production‑grade AI chat agents or virtual assistants.
Working knowledge of LangGraph, AutoGen, CrewAI, ADK, or comparable agent‑orchestration / workflow frameworks.
Experience with Large Language Models (Gemini, GPT‑4, Claude, Mistral, etc.) and vector databases (Weaviate, Chroma, Pinecone).
Deep experience with Google Cloud Platform (GCP):
BigQuery for analytical workloads and feature stores.
Cloud Run (serverless) for scalable, cost‑efficient microservices.
Google Kubernetes Engine (GKE) for container orchestration and workload portability.
Identity and Access Management (IAM) for secure, least‑privilege access control.
Business‑intelligence expertise in building dashboards and reports with Power BI or Tableau.
Familiarity with other cloud providers (AWS, Azure) and their AI/ML services.
Understanding of MLOps (model registry, continuous training, drift monitoring) and LLM observability tools such as Arize Phoenix, Langfuse, and LangSmith.
Database skills in both SQL (PostgreSQL, BigQuery) and NoSQL (Firestore, DynamoDB).
Contributions to open‑source AI/ML projects or technical blogging/presentations.

Application Process:

Please send your resume to [[email protected]] with a relevant subject line.

If your resume is shortlisted, you will be invited to take an online AI-based assessment.

Candidates who pass this test will move on to the next stage: an on-call interview with the end client.

Successful candidates from all rounds will receive an offer based on the initial discussion during the first call.

Apply Now

Refine Your Search

database vector database container cloud jobs

AI Engineer

Cybersecurity Threat Senior Analyst- Cloud Cybersecurity Analyst

Senior AI Engineer

Senior Software Engineer - SRE

AI Dev Lead– LLM & Applied AI Solutions

Machine Learning Engineer (Clearance Sponsorship)

Customer Engineer

Lead Software Engineer II, AI Operations

Site Reliability Engineer

Senior Software Engineer

Manager, Development

Senior Solutions Architect - Emerging Technologies (AI, GenAI, ML)

Infrastructure Engineer (Backend)

Technical Architect - Machine Learning

Development Manager (Full Stack Engineer)

Senior Oracle Developer/DBA (Secret Clearance Required) - DEA

Senior IT Infrastructure Support

AI Integration Engineer

Java Engineer

Senior Full-Stack Software Engineer (Theme Park Focused)

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