Ai Application Operations & Maintenance Engineer (Azure) Job at Business Integration Partners (Tirana)

Generative Ai Application Operations Engineer

The organization is looking for a professional profile specialized in Applicatio...

Location

Italy , Milano

Salary:

Not provided

BIP

Expiration Date

Until further notice

Requirements

Experience in Application Maintenance and Operations on enterprise applications
Good knowledge of Python in an application context focused on AI functionalities
Operational knowledge of Microsoft Azure and its main PaaS services
Experience with Azure Kubernetes Service (AKS) and containerized workloads
Strong analysis and troubleshooting skills based on logs, metrics, and alerts
Knowledge of monitoring, logging, and observability principles
Familiarity with microservices architectures and multi-layer environments
Knowledge of IAM concepts, Managed Identity, and secrets management

Job Responsibility

Management of corrective and evolutionary maintenance activities for AI applications in production
Analysis and resolution of application incidents and anomalies across front-end, back-end, and service-layer components
Support for application release activities and configuration management across different environments (Dev/Test/Prod)
Collaboration with development teams to analyze application issues and improve overall software quality
Operational ownership of solutions based on Azure Kubernetes Service (AKS), including management of containerized workloads
Continuous monitoring of application and infrastructure services using Azure Monitor, Log Analytics, and Application Insights
Analysis of application logs, metrics, and alerts to ensure adequate reliability and performance levels
Execution of advanced troubleshooting activities on data ingestion pipelines, AI services, search services, and databases
Operational support for the use of data persistence services, including Azure SQL DB, Azure Cosmos DB, Azure Storage Account
Verification and support of correct content indexing and querying through Azure AI Search

Fulltime

DevOps Engineer (Azure | Terraform | Ansible | Agentic AI for Infra/Monitoring/FinOps)

Job Summary: We are looking for a DevOps Engineer with strong hands-on experienc...

Location

India , Bangalore South

Salary:

Not provided

Wissen

Expiration Date

Until further notice

Requirements

3–5 years of experience in MLOps / ML Engineering / Cloud Engineering
Proficient in designing and deploying end-to-end ML pipelines
Terraform for Azure infrastructure automation
Python for ML, automation, and GenAI workflows
Azure Compute, Storage, Networking, and Identity
Running ML & GenAI workloads at scale on Azure
Supporting data pipelines for ML and LLM workloads
Experience with LangGraph for LLM workflow and agent orchestration
Hands-on exposure to Claude models, including skills/plugins integration
Understanding of prompt management, agent execution, and orchestration patterns

Job Responsibility

Build, deploy, and manage comprehensive MLOps and LLMOps pipelines on Azure
Design and oversee CI/CD pipelines for machine learning models and large language model workflows utilizing Harness or Azure DevOps
Streamline the promotion of models, prompts, and agent workflows between environments through automation
Establish approval gates, implement rollback mechanisms, and facilitate controlled release processes
Oversee the lifecycle of ML models and LLM-driven workflows, including their training, assessment, deployment, monitoring, and retraining
Administer Azure Machine Learning workspaces, computing resources, environments, model registries, and endpoints
Integrate LLM workflows and agent-centric architectures using LangGraph
Support the incorporation of Claude-based models, skills, and plugins into enterprise-level applications
Operationalize prompt versioning, orchestration strategies, and agent workflows in live production settings
Set up and govern Azure ML and Generative AI infrastructure via Terraform as Infrastructure as Code (IaC)

Fulltime

Software Engineer - AI Search

Join us at Seismic, a cutting-edge technology company leading the way in the Saa...

Location

India , Hyderabad

Salary:

Not provided

Seismic

Expiration Date

Until further notice

Requirements

4 to 11 years of experience in software engineering, with experience contributing to frontend or UI-focused web applications
Experience with HTML, CSS, and modern JavaScript (ES6+)
Experience building user interfaces using React, including functional components, hooks, and state management patterns
Full-stack experience (C#, Node.js, Python) a plus
Experience with TypeScript, including writing strongly typed components and APIs
Familiarity with modern CSS techniques such as CSS Modules, styled-components, Tailwind, or similar approaches
Experience integrating frontend applications with REST or GraphQL APIs
Working knowledge of automated frontend testing practices (e.g., Jest, React Testing Library, Cypress, Playwright)
Experience using Git for source control and collaborating through pull requests
Familiarity with CI/CD concepts and modern frontend pipelines, including GitHub Actions

Job Responsibility

Contribute to the design, development, and maintenance of backend systems and services supporting search functionality, ensuring performance, scalability, and reliability
Assist in implementing search and/or AI-related features, including indexing, retrieval, and ranking logic, to improve search accuracy and efficiency
Collaborate with engineers, AI partners, and product teams to integrate search and AI-driven capabilities across the Seismic platform
Participate in monitoring and performance tuning efforts, identifying routine bottlenecks and applying guided improvements to ensure acceptable query latency
Work closely with cross-functional and geographically distributed teams, including product managers, frontend engineers, and UX designers, to support seamless search experiences
Learn and apply new tools, technologies, and best practices related to search, backend development, and AI systems

Fulltime

Staff Software Engineer, AI Agent Platform

The Geico AI Agent Platform team is seeking an exceptional Staff Software Engine...

Location

United States , Chevy Chase; New York City

Salary:

115000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, Mathematics, or a related field
an advanced degree (master’s or Ph.D.) is highly desirable
6+ years of hands-on experience in designing, implementing, and maintaining multi-tenant AIML systems and platforms in production environments
6+ years of experience working with cloud platforms such as Azure and AWS
Extensive expertise in designing and deploying large-scale data pipelines and real-time inference systems and managing the end-to-end AI Agent and/or AIML system development lifecycles, including configuration, evaluation, monitoring, observability and AuthN/AuthR considerations
6+ years of experience working with common backend systems & tools (e.g, Kubernetes, Temporal, OpenSearch, PostgreSQL, Redis, Neo4J, etc.)
Deep understanding of Docker, container optimization, and multi-stage builds
Experience with Prometheus, Grafana, Open Telemetry and distributed tracing
3+ years of experience building front-end web applications using frameworks such as React and/or Next.JS
Deep proficiency in programming languages such as Python, Java, Go, etc., with a strong emphasis on coding excellence

Job Responsibility

Architect and implement scalable multi-tenant backend systems for building AI agent workflows, including agent configuration, offline evaluation, synthetic data generation, workflow simulation, agent marketplace, etc. using Azure Kubernetes Service (AKS), FastAPI, etc., ensuring economy of scale and control cost of maintenance
Collaborate with Design team to architect and implement frontend experiences and workflows for onboarding both technical and non-technical stakeholders, maximizing user adoption and successful AI agent development
Develop observability frameworks to ensure 99.9%+ uptime for AI agent platforms through robust monitoring, alerting, and incident response procedures
Evaluate and (if desirable) integrate cutting-edge GenAI frameworks, libraries and vendors to maintain a state-of-the-art technology stack, including hybrid cloud solutions with AWS/GCP as backup or specialized use cases
Architect and implement scalable, high-performance machine learning platforms and systems capable of processing large data volumes and supporting real-time decision making and workflows
Oversee the end-to-end lifecycle of AI agent applications, ensuring robust testing, deployment, and ongoing monitoring
Ensure adherence to company production readiness standards, security protocols, and regulatory compliance throughout the development lifecycle
Continuously optimize platform performance, reducing latency and improving throughput for AI agent workloads
Design and implement backup, recovery, and business continuity plans for hosted platform applications & services
Design and maintain robust CI/CD pipelines for ML model deployment using Azure DevOps, GitHub Actions, and MLOps tools

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Ai Software Engineer

We are looking for an AI Software Engineer to help design, build, and deploy AI-...

Location

United States , Laconia

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Experience with Python and modern ML frameworks (TensorFlow, PyTorch, scikit-learn)
Strong software engineering fundamentals and experience deploying models to production
Interest or background in manufacturing, industrial systems, or operational data
Proven experience building and delivering production-grade solutions in software engineering, machine learning engineering, or AI engineering role
Strong knowledge of machine learning methods and applied artificial intelligence techniques
Proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, or scikit-learn
Hands-on background developing data pipelines, APIs, and application services that support AI solutions
Experience working with cloud-based platforms such as AWS, Azure, or similar environments
Ability to work with incomplete, noisy, or highly variable operational datasets from real-world environments
Strong communication skills with ability to explain technical ideas clearly to business and operational teams

Job Responsibility

Develop and deploy AI/ML models for manufacturing use cases (predictive maintenance, quality inspection, process optimization)
Work with sensor, production, and ERP data to build actionable insights
Collaborate with cross‑functional teams to move ideas from concept to production

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan

Azure Devops + Agentic Ai

Wissen Technology is hiring for Azure DevOps + Agentic AI; About Wissen Technolo...

Location

India , Bangalore South

Salary:

Not provided

Wissen

Expiration Date

Until further notice

Requirements

3–5 years of experience in MLOps / ML Engineering / Cloud Engineering
Proficient in designing and deploying end-to-end ML pipelines
Terraform for Azure infrastructure automation
Python for ML, automation, and GenAI workflows
Azure Compute, Storage, Networking, and Identity
Running ML & GenAI workloads at scale on Azure
Supporting data pipelines for ML and LLM workloads
Experience with LangGraph for LLM workflow and agent orchestration
Hands-on exposure to Claude models, including skills/plugins integration
Understanding of prompt management, agent execution, and orchestration patterns

Job Responsibility

Build, deploy, and manage comprehensive MLOps and LLMOps pipelines on Azure
Design and oversee CI/CD pipelines for machine learning models and large language model workflows utilizing Harness or Azure DevOps
Streamline the promotion of models, prompts, and agent workflows between environments through automation
Establish approval gates, implement rollback mechanisms, and facilitate controlled release processes
Oversee the lifecycle of ML models and LLM-driven workflows, including their training, assessment, deployment, monitoring, and retraining
Administer Azure Machine Learning workspaces, computing resources, environments, model registries, and endpoints
Integrate LLM workflows and agent-centric architectures using LangGraph
Support the incorporation of Claude-based models, skills, and plugins into enterprise-level applications
Operationalize prompt versioning, orchestration strategies, and agent workflows in live production settings
Set up and govern Azure ML and Generative AI infrastructure via Terraform as Infrastructure as Code (IaC)

Fulltime

Senior Software Engineer II - Frontend - AI Search

Join us at Seismic, a cutting-edge technology company leading the way in the Saa...

Location

India , Hyderabad

Salary:

Not provided

Seismic

Expiration Date

Until further notice

Requirements

7+ years of experience in software engineering, with experience contributing to frontend or UI-focused web applications
Experience with HTML, CSS, and modern JavaScript (ES6+)
Experience building user interfaces using React, including functional components, hooks, and state management patterns
Experience with TypeScript, including writing strongly typed components and APIs
Familiarity with modern CSS techniques such as CSS Modules, styled-components, Tailwind, or similar approaches
Experience integrating frontend applications with REST or GraphQL APIs
Working knowledge of automated frontend testing practices (e.g., Jest, React Testing Library, Cypress, Playwright)
Experience using Git for source control and collaborating through pull requests
Familiarity with CI/CD concepts and modern frontend pipelines, including GitHub Actions
Exposure to frontend performance optimization techniques (code splitting, lazy loading, memoization)

Job Responsibility

Contribute to the development and maintenance of backend systems that power our web application, including search, content discovery, and AI capabilities
Contribute to the design, development, and maintenance of backend systems and services supporting search functionality, ensuring performance, scalability, and reliability
Assist in implementing search and/or AI-related features, including indexing, retrieval, and ranking logic, to improve search accuracy and efficiency
Collaborate with engineers, AI partners, and product teams to integrate search and AI-driven capabilities across the Seismic platform
Participate in monitoring and performance tuning efforts, identifying routine bottlenecks and applying guided improvements to ensure acceptable query latency
Work closely with cross-functional and geographically distributed teams, including product managers, frontend engineers, and UX designers, to support seamless search experiences
Learn and apply new tools, technologies, and best practices related to search, backend development, and AI systems

Fulltime

Senior Software Engineer II - Frontend - AI Search

Join us at Seismic, a cutting-edge technology company leading the way in the Saa...

Location

India , Hyderabad

Salary:

Not provided

Seismic

Expiration Date

Until further notice

Requirements

7+ years of experience in software engineering, with experience contributing to frontend or UI-focused web applications
Experience with HTML, CSS, and modern JavaScript (ES6+)
Experience building user interfaces using React, including functional components, hooks, and state management patterns
Full-stack experience (C#, Node.js, Python) a plus
Experience with TypeScript, including writing strongly typed components and APIs
Familiarity with modern CSS techniques such as CSS Modules, styled-components, Tailwind, or similar approaches
Experience integrating frontend applications with REST or GraphQL APIs
Working knowledge of automated frontend testing practices (e.g., Jest, React Testing Library, Cypress, Playwright)
Experience using Git for source control and collaborating through pull requests
Familiarity with CI/CD concepts and modern frontend pipelines, including GitHub Actions

Job Responsibility

Contribute to the development and maintenance of backend systems that power our web application, including search, content discovery, and AI capabilities
Contribute to the design, development, and maintenance of backend systems and services supporting search functionality, ensuring performance, scalability, and reliability
Assist in implementing search and/or AI-related features, including indexing, retrieval, and ranking logic, to improve search accuracy and efficiency
Collaborate with engineers, AI partners, and product teams to integrate search and AI-driven capabilities across the Seismic platform
Participate in monitoring and performance tuning efforts, identifying routine bottlenecks and applying guided improvements to ensure acceptable query latency
Work closely with cross-functional and geographically distributed teams, including product managers, frontend engineers, and UX designers, to support seamless search experiences
Learn and apply new tools, technologies, and best practices related to search, backend development, and AI systems

Fulltime

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Ai Application Operations & Maintenance Engineer (Azure)

Job Description

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