Senior AI Engineer Vertex AI / Gemini Job at Salt (Doha)

Senior AI Engineer

Shutterfly is seeking a Senior AI Engineer (Contractor) to accelerate the design...

Location

United States , Eden Prairie

Salary:

Not provided

Abotts

Expiration Date

Until further notice

Requirements

8+ years of professional software / ML engineering experience, with 2+ years building production generative AI or agentic systems
Expert-level proficiency in Microsoft Copilot Studio — agent design, topics, custom connectors, Power Platform integration, governance, and lifecycle management
Hands-on expertise with Azure AI Foundry (formerly Azure AI Studio) — model deployment, prompt flow, agent service, evaluations, and content safety
Production experience with Anthropic Claude — Anthropic SDK, prompt caching, tool use, MCP (Model Context Protocol), and multi-turn agent design
Strong working knowledge of Google Cloud Platform — Vertex AI, Gemini, Agent Builder, BigQuery, Cloud Run, and IAM
Proficiency in Python and at least one of TypeScript/Node.js or C#/.NET
Solid grounding in RAG architectures, vector databases (Azure AI Search, Pinecone, Vertex Vector Search), embeddings, and semantic retrieval
Experience with LLM evaluation frameworks, observability (LangSmith, Azure AI Foundry evaluations, custom telemetry), and A/B testing of AI systems
Experience integrating AI with Microsoft 365 (Graph API, Teams, SharePoint, Outlook) and enterprise identity (Entra ID / OAuth2)
Strong understanding of responsible AI, data privacy (GDPR, CCPA), and enterprise security practices

Job Responsibility

Design, build, and deploy enterprise-grade AI agents, copilots, and automation workflows that integrate with Microsoft 365, internal systems, and customer-facing applications
Microsoft Copilot Studio: Develop and operationalize agents and low-code/pro-code solutions — custom topics, plugins, knowledge sources, and connectors
Azure AI Foundry: Architect and implement model orchestration, retrieval-augmented generation (RAG), evaluation, and guardrails using model catalog, prompt flow, agent service, and content safety
Anthropic Claude: Integrate Claude models (Opus, Sonnet, Haiku) via the Anthropic API and Bedrock — including prompt caching, tool use, extended thinking, and agentic patterns
Google Cloud Platform: Build and operate AI services using Vertex AI, Gemini, Agent Builder, BigQuery, and associated MLOps tooling
Lead end-to-end model lifecycle: data preparation, fine-tuning/adaptation, evaluation, deployment, observability, and continuous improvement
Establish and enforce responsible AI practices — security, privacy, content safety, bias mitigation, prompt injection defense, and auditability — in alignment with Shutterfly enterprise standards
Partner with Systems Engineering, Security, and Data teams to integrate AI workloads with identity (Entra ID), data platforms, and CI/CD pipelines
Mentor internal engineers and developers
produce reusable patterns, reference architectures, and documentation that elevate the team's AI maturity

Senior AI Engineer

Location

India , Bangalore

Salary:

Not provided

SRKay Consulting Group

Expiration Date

Until further notice

Requirements

Vertex AI Suite: Hands-on experience with Vertex AI Agent Builder, Model Garden, and Vertex AI Search & Conversation
Gemini Ecosystem: Proficiency in utilizing the Gemini API (Pro, Flash, and Ultra) and Gemini Code Assist for accelerated development
Data Cleansing & Analytics: Hands-on experience in data cleansing with Python for grounding AI solutions in structured data
Agentic Frameworks: Expertise in LangGraph and LangChain for building stateful, multi-turn agentic applications
Model Engineering: Strong proficiency in Python (PyTorch, Scikit-learn, TensorFlow) for training, fine-tuning, and evaluating neural networks
Cloud: Proven experience with and a deep understanding of the Azure and GCP ecosystems
CI/CD/MLOps: Mastery of Vertex AI Pipelines, Azure DevOps, Argo Workflows, and container orchestration via Kubernetes (GKE)
Orchestration Tools: Expert-level knowledge of n8n, specifically using Python Code Nodes and custom API connectors
Real-time Data: Experience with CDC to ensure vector stores reflect real-time database changes
Experience building large-scale production AI workloads on Azure or Google Cloud

Job Responsibility

Enterprise Orchestration: Build and scale complex workflows using n8n (Vertex AI Pipelines experience is an advantage), ensuring seamless integration between LLMs (Gemini 2.5/3.0), internal systems and databases, and external APIs
Modern AI Deployment: Containerize and deploy models as scalable microservices using FastAPI, Docker, and GKE (Google Kubernetes Engine)
Advanced AI Orchestration: Design and implement sophisticated LLM workflows and multi-agent systems, potentially adopting frameworks like LangGraph, LangChain, AgentSkills, and MCP to create autonomous, tool-using solutions
End-to-End Agentic RAG Development: Lead the complete RAG lifecycle, managing everything from data cleansing, chunking, and embedding strategies to the final delivery of production-ready enterprise solutions
Model Optimization: Fine-tune Large Language Models (LLMs) and Small Language Models (SLMs like Gemma 3) using PEFT (LoRA/QLoRA) within Vertex AI Studio
Prompt Engineering: Develop and refine high-quality prompts to assist in the precise execution and optimization of AI solution logic
Market Intelligence: Maintain a proactive watch on the AI market to identify and adopt emerging technologies that provide a competitive advantage
Production Quality & Ops: Collaborate with MLOps/LLMOps teams to ensure seamless product delivery, implementing robust monitoring to maintain high production quality after go-live
Collaborative Solution Design: Work closely with the High-Code Engineering team and engage directly with business stakeholders to gather requirements and ensure AI solutions are perfectly aligned with user needs
Model Strategy & Evaluation: Perform rigorous model evaluations to decide which LLMs should be adopted or replaced within existing solutions to optimize performance and cost

Fulltime

New

Senior Fullstack Engineer - AI

LumApps is now more than just an Employee Experience Platform — it is an AI-powe...

Location

France , Lyon; Paris; Sophia-Antipolis; Tassin-la-Demi-Lune; Bordeaux

Salary:

Not provided

LumApps

Expiration Date

Until further notice

Requirements

6+ years of professional software engineering experience, with deep expertise in Python for backend services and solid command of TypeScript and React (v17+) on the frontend
Strong opinions on API design, service boundaries, component design, performance optimization, and maintainability at scale in a large monorepo
Comfortable building production microservices following Clean Architecture / SOLID principles — designing clear domain layers, working with relational databases (PostgreSQL, SQLAlchemy), event-driven patterns (Pub/Sub), and REST/OpenAPI contracts
Shipped and operated services in the cloud (GCP and/or Azure)
Hands-on experience or strong curiosity with agent interoperability protocols like the Model Context Protocol (MCP) and Agent-to-Agent (A2A), agent-to-UI streaming via the AG-UI protocol (SSE, WebSockets), and integrating with LLM providers such as Google Gemini and Mistral running on Vertex AI, using agentic frameworks like Google ADK or Strands Agents
Can design systems end-to-end
Thinks about functional correctness, technical scalability, and security implications simultaneously
Has contributed to or led significant architectural decisions in a production codebase
Proficient with backend unit/component/integration testing (pytest and equivalents) as well as frontend tooling (Jest, React Testing Library, Storybook, Playwright)
Speaks English fluently

Job Responsibility

Define and own the technical vision for the AI Agents tribe across the stack
Drive major architectural decisions — from agent communication protocols (MCP, A2A, AG-UI) and streaming patterns to data modeling, service boundaries, and state management — while tracking implications on adjacent systems and teams
Independently scope and implement complex end-to-end solutions, from API and data layer through to the user-facing experience
Identify and proactively tackle technical debt
Plan and execute projects that span multiple teams within the tribe
Partner with product and engineering leadership to translate roadmap goals into concrete technical strategies, providing reliable project estimates and owning delivery accountability
Define canonical patterns and lead-by-example on testing, performance, observability, and security
Conduct rigorous code reviews and challenge both specifications and implementations when needed
Mentor Software Engineers, providing actionable feedback on strategy, impact, execution, and technical depth
Share knowledge through engineering articles, internal presentations

What we offer

Hybrid work model – 2 days at the office, 3 days remote
RTT days – ~10 extra days off per year
Meal vouchers (SWILE) + free snacks & coffee
Yoga classes in Paris office
Supportive parental leave and family moments
Health insurance (ALAN) – 60% covered + full life & disability cover
Afterworks, team celebrations & seasonal parties
Equipment of your choice
French & English lessons, professional development & access to Leeto CSE

Fulltime

Senior Applied AI Engineer

Build production-grade, multimodal (audio/video/text) systems that convert broad...

Location

United States , New York

Salary:

180000.00 - 240000.00 USD / Year

Genius Sports

Expiration Date

Until further notice

Requirements

5–8+ years of professional software engineering experience (backend and/or ML systems)
Strong proficiency in one or more of: Python, Java, Rust
Hands-on experience building production services involving LLM or multimodal model integration (including Gemini, ChatGPT or Claude)
Comfortable with ambiguity, iterative experimentation, and evidence-based decision-making in an Agile environment
Experience with streaming data platforms like Kafka, Pulsar, Flink
Experience with AWS Bedrock or Google Vertex AI
Familiarity with version control systems (e.g., Git)
Excellent problem-solving skills and attention to detail
Ability to work independently and as part of a team
Strong communication skills

Job Responsibility

Build and maintain multimodal agents: Audio sensor agents (acoustic events, sentiment, alignment), Visual sensor agents (scorebug/overlay reading, basic visual cues when applicable), Specialist and decision logic components (structured event outputs, confidence, traceability)
Implement streaming-friendly pipelines: chunking, normalization, time-sync, async execution, and robust retry/backoff for model/tool calls
Develop prompt-as-code with strict JSON contracts, schema validation, and deterministic post-processing to reduce brittleness
Improve system robustness under noisy inputs by: Designing fallback behaviors (degraded modes), Adding guardrails and confidence thresholds, Instrumenting traces/metrics for latency + cost + accuracy
Partner with product, platform, and domain leads to translate sport rules/edge cases into validation logic and to integrate outputs into downstream consumers (tagging, live feeds, analytics)
Contribute to the evaluation workflow by adding test cases, failure mode categories, and regression checks for prompts and model routing
Stay up-to-date with emerging Gen AI technologies, tools, and best practices
Mentor and support other team members in data engineering principles and practices

What we offer

Eligible to take part in Genius Sports Group's benefits plan
Competitive salary and range of benefits
Committed to supporting employee wellbeing and helping you grow your skills, experience and career
Inclusive working environment

Fulltime

Senior Enterprise Applications Engineer - AI Workflows

Adyen’s Application Engineering team is looking for a Senior Engineer who lives ...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adyen

Expiration Date

Until further notice

Requirements

Strong Python automation skills, with the ability to build, troubleshoot, and scale scripts and tools independently
Deep understanding of LLMs, prompt engineering, and applied ML workflows from experimentation and evaluation to deployment and monitoring
Experience integrating third-party AI models (e.g., Gemini, or custom fine-tuned models) into real-world tools or services
Hands-on experience with Google Cloud Platform (GCP), especially in integrating applications and automating tasks across services such as Vertex AI and Cloud Functions
Comfortable deploying and managing AI tools and agents, including Gemini, Google Vertex AI, and Gemini Enterprise (Agentspace), or similar and integrating them into operational workflows
Successfully rolled out and maintained a variety of SaaS applications and tooling ecosystems, including Slack Enterprise Grid, Zoom, Atlassian (Jira & Confluence), and others
Apply a security-first mindset, designing solutions that safeguard data and systems while maintaining a seamless user experience
Strong communicator and collaborator, capable of working cross-functionally to deliver scalable, secure, and maintainable systems that support global operations.

Job Responsibility

Design and build agentic workflows to automate internal processes using VertexAI as well as Google’s Agent Development Kit (ADK) (e.g., automated support agents, intelligent documentation retrieval, automated provisioning)
Enhance and administer our Google Gemini Enterprise environment, building custom integrations for our internal tooling
Design, interconnect, maintain, and scale our enterprise applications as we launch new tools and enhance existing services, with a focus on automation and operational efficiency
Maintain and scale our SaaS ecosystem (Atlassian Suite, Slack Enterprise Grid, Google Workspace, Zoom), ensuring they are secure, performant, and ready for global scale
Develop, improve and support internal Slack Apps and custom integrations that extend functionality and improve communication and productivity across teams
Partner with our Enterprise Access Management team to implement secure identity and access controls, including automated provisioning and deprovisioning across systems
Build and maintain Python-based applications, automations and workflows to reduce manual effort and increase tooling reliability
Integrate enterprise applications with Google Cloud Platform (GCP), leveraging services like Pub/Sub, and Cloud Functions to drive automation and security
Create and maintain clear, high-quality documentation of workflows, administrative procedures, and integrations for both technical and non-technical audiences

Senior Data Scientist – Gen AI Engineer - Assistant Vice President

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
8–12 years of experience as a Data Scientist or equivalent role, with at least 2 years of specialized, hands-on experience in Generative AI, including leading technical development and mentoring teams.
Demonstrable experience across the full lifecycle of production-level GenAI projects — from ideation and prototyping through deployment, monitoring, and ongoing maintenance in live environments.
Expert-level Python proficiency
Scikit-learn, XGBoost, LightGBM
PyTorch
Hugging Face Transformers, LangChain, LlamaIndex, Semantic Kernel
LangGraph, CrewAI, AutoGen
Transformer architectures
RAG patterns

Job Responsibility

Working with financial and enterprise data, applying modern NLP and GenAI techniques to solve business problems.
Designing, refining, and systematizing prompt engineering strategies for large language models (LLMs), including structured prompting, chain-of-thought, and few-shot/zero-shot approaches.
Collaborating with business stakeholders to translate requirements into GenAI-powered solutions.
Developing, testing, and maintaining production-grade Python code for GenAI applications.
Integrating with vector databases (e.g., Pinecone, Weaviate, Milvus, pgvector, Qdrant) for retrieval-augmented generation (RAG) pipelines.
Building, monitoring, and optimizing MLOps/LLMOps pipelines for continuous model deployment and observability.
Researching and evaluating emerging GenAI technologies, frameworks, and best practices to maintain competitive advantage.
Troubleshooting and debugging GenAI models and agentic systems in production, including rapid identification and resolution of issues in real-world deployments.
Communicating complex AI/ML concepts clearly to non-technical stakeholders, translating technical jargon into actionable business terms.
Participating in and leading team meetings, design reviews, and architecture discussions.

Fulltime

New

IT Training Lead

The IT Training Lead will drive technology learning and user adoption across the...

Location

United States , Delray Beach

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Experience in IT training, instructional design, technical enablement, or learning and development
Strong knowledge of Microsoft 365
Excellent communication, facilitation, and content development skills
Ability to translate technical concepts into practical, user-friendly training.

Job Responsibility

Design, develop, and deliver IT training programs in instructor-led, virtual, and self-paced formats
Take lead in the Microsoft Copilot and AI training strategy, including onboarding, advanced use cases, responsible AI usage, and ongoing enablement
Partner with IT leadership to support new technology rollouts, system upgrades, and digital transformation initiatives
Create and maintain training content, including videos, guides, tutorials, and job aids
Identify skill gaps and develop targeted learning solutions to improve adoption and productivity
Gather feedback and measure training effectiveness to continuously improve programs.

New

K Kitchen Representative

The position includes, but is not limited to, the following essential job duties...

Location

United States , New Albany

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Excellent communication skills
Team player who can work well with others or independently
Acts with integrity
keeps commitments
Contagious positive attitude
Focuses on achieving results while having fun
Frequently bend, twist at waist, kneel, squat, stand, and walk
Occasionally climb and descend ladders
Tolerate extreme cold and hot temperatures and work in and around fryers, ovens, grills, coolers, freezers, sharp objects, and loud noises
Reach, grasp, and manipulate objects with hands for entire shift, including reaching for objects overhead

Job Responsibility

Provides excellent guest service in a fast and friendly manner
Maintains a clean restaurant environment by cleaning and performing general housekeeping duties
Prepares and serves food items in accordance with all Brand, Company, and health department regulations
Ensures product quality, food safety, and operational standards are met
Keeps accurate cash, sales, and inventory control records
Follows all government laws and safety codes
Completes reports on all incidents following our 5-minute rule policy
Lives our Company values: One Team, Do the Right Thing, Takes Ownership, Play to Win

What we offer

Medical, Dental, Vision, Term Life and AD&D plans
Flexible spending and health savings accounts (FT)
Vacation paid time off
Company holidays paid at time and a half
Matching 401(k)
Tuition Reimbursement
Stock Purchase Plan
Employee Discount Program
Discount Meal Benefit
Wellness Plan

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Senior AI Engineer Vertex AI / Gemini

Job Description

Job Responsibility

Requirements

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Looking for more opportunities?

Senior AI Engineer Vertex AI / Gemini

Senior AI Engineer

Senior AI Engineer

Senior Fullstack Engineer - AI

Senior Applied AI Engineer

Senior Enterprise Applications Engineer - AI Workflows

Senior Data Scientist – Gen AI Engineer - Assistant Vice President

IT Training Lead

K Kitchen Representative

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