generative ai engineer

TAWANTECH

<div>Job Summary
We are seeking an AI Software Engineer with hands-on experience in Large Language Models (LLMs) and Generative AI technologies to develop intelligent solutions that enhance customer experience, operational efficiency, and knowledge management within the banking sector.
Key Responsibilities<ul><li>Design, develop, and deploy AI-powered applications leveraging LLMs and Generative AI.</li><li>Build Retrieval-Augmented Generation (RAG) solutions using enterprise banking data.</li><li>Develop intelligent assistants, chatbots, and knowledge management solutions.</li><li>Integrate AI services with banking applications and APIs.</li><li>Fine-tune, evaluate, and optimize LLM performance.</li><li>Ensure compliance with banking security, governance, and regulatory requirements.</li><li>Collaborate with business, data, and technology teams to deliver AI-driven solutions.</li></ul> 
Requirements<ul><li> 
4+ years of software engineering experience.</li><li>Strong Python programming skills.</li><li>Experience with LLMs, Generative AI, and Prompt Engineering.</li><li>Experience with LangChain, LlamaIndex, Vector Databases, and RAG architectures.</li><li>Familiarity with machine learning frameworks and AI deployment practices.</li><li>Experience with cloud platforms (AWS, Azure, GCP) is preferred.</li></ul>
Preferred Qualifications<ul><li>Banking or Financial Services experience.</li><li>Experience developing AI copilots or customer-facing AI solutions.</li><li>Knowledge of AI governance and responsible AI practices.</li></ul></div>

AI Software Engineer / LLM Engineer

Apple

The Intelligence Platform team empowers clients across Apple&rsquo;s operating systems with high-quality, user-centric knowledge and inferences that enable next-generation user experiences. We&rsquo;re an applied Machine Learning team that leverages state-of-the-art technologies-Generative AI, Large Language Models, RAG based systems, and emerging agentic AI patterns-to deliver high-quality inferences at scale! 
 
Description 
 
We are in search of a driven Machine Learning Engineer who has a strong understanding of LLMs and Generative AI and is excited to explore the rapidly evolving landscape of LLM-powered agents, tool-use models, and advanced reasoning techniques. You will help translate groundbreaking research into production systems, influence our technical direction, and shape the future of AI at Apple. 
 
Agentic AI is an emerging area for our team-prior experience is a plus but not required. What matters most is curiosity, strong ML fundamentals, and the ability to navigate and apply cutting-edge research!&quot;,&quot;responsibilities&quot;:&quot;Leading exploration and application of LLMs, Generative AI, and emerging agentic AI techniques (e.g., tool-use models, model-driven planning, task decomposition). 
 
Translating the latest research into high-performing, production-ready ML systems that enhance user experiences across Apple products. 
 
Helping define the technical direction for LLM-driven and agentic AI capabilities within the Intelligence Platform. 
 
Contributing to all phases of model development-problem formulation, experimentation, evaluation, fine-tuning, deployment, and continuous improvement. 
 
Collaborating cross-functionally to design and implement ML solutions, ensuring alignment with product goals, privacy requirements, and performance metrics. 
 
Driving innovation by identifying opportunities to incorporate advanced reasoning, grounding, or agentic patterns into existing ML systems. 
 
Preferred Qualifications 
 
Familiarity with agentic AI, structured tool-use models, or multi-turn reasoning systems. (Not required-experience is a plus, and interest in the domain is highly valued.) 
 
Hands-on experience with end-to-end LLM development: dataset curation, fine-tuning, evaluation, prompt optimization, or model hosting. 
 
Published research demonstrating contributions to LLMs, Generative AI, or related subfields. 
 
Ability to guide technical direction, mentor others, and collaborate effectively in a fast-paced environment. 
 
Minimum Qualifications 
 
Advanced degree (Master&rsquo;s or Ph.D.) in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 
 
Strong experience in Machine Learning, with emphasis on LLMs, Generative AI, or large-scale deep learning systems. 
 
Demonstrated ability to read, interpret, and apply cutting-edge research to real-world engineering problems. 
 
Experience with model training, fine-tuning, or building scalable ML systems. 
 
Strong programming and problem-solving skills. 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Machine Learning Engineer, Proactive - Large Language Models, Generative AI & Agentic Systems

Datamatics Global Services Ltd

<div>Position Title : AI/ML Engineer &ndash; Agentic AI 
Experience Required: 4&ndash;6 Years (Should be open to Travel) 
Employment Type : Full-Time - Riyadh - Onsite 
 
Job Overview 
We are seeking a highly skilled AI/ML Engineer with hands-on experience in building intelligent AI systems, machine learning models, and Agentic AI solutions. The ideal candidate will have strong expertise in designing, developing, and deploying AI-powered applications leveraging LLMs, autonomous agents, orchestration frameworks, and modern ML techniques. 
The role requires a strong engineering mindset, practical AI implementation experience, and the ability to work across the full AI/ML lifecycle from experimentation to production deployment. 
 
Key Responsibilities<ul><li>
Design, develop, and deploy AI/ML solutions for real-world business use cases.</li><li>
Build and optimize Agentic AI systems using LLMs, autonomous workflows, and multi-agent architectures.</li><li>
Develop machine learning models for prediction, classification, recommendation, NLP, and automation tasks.</li><li>
Work with orchestration frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar technologies.</li><li>
Integrate AI agents with APIs, databases, enterprise systems, and third-party tools.</li><li>
Fine-tune, evaluate, and optimize Large Language Models (LLMs).</li><li>
Develop Retrieval-Augmented Generation (RAG) pipelines and vector search implementations.</li><li>
Collaborate with data engineers, software developers, and product teams to deliver scalable AI solutions.</li><li>
Perform prompt engineering, model experimentation, and performance optimization.</li><li>
Ensure AI solutions are production-ready, scalable, secure, and cost-efficient.</li><li>
Monitor model performance, drift, and continuous improvement processes.</li><li>
Stay updated with emerging AI, Generative AI, and Agentic AI trends and technologies.</li></ul>
Required Skills &amp; Expertise<ul><li>
Strong hands-on experience in Machine Learning, Generative AI, and Agentic AI development.</li><li>
Proficiency in Python and AI/ML development frameworks.</li><li>
Experience with:<ul><li>
LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks</li><li>
OpenAI, Anthropic, Gemini, or open-source LLMs</li><li>
RAG architectures and Vector Databases</li><li>
Prompt Engineering &amp; AI workflow automation</li></ul></li><li>
Solid understanding of:<ul><li>
NLP concepts</li><li>
ML algorithms and model evaluation</li><li>
Deep Learning fundamentals</li><li>
AI model deployment and inference optimization</li></ul></li><li>
Experience with ML libraries/frameworks such as:<ul><li>
PyTorch</li><li>
TensorFlow</li><li>
Scikit-learn</li><li>
Hugging Face Transformers</li></ul></li><li>
Experience with cloud platforms such as Azure, AWS, or GCP is preferred.</li><li>
Familiarity with Docker, APIs, CI/CD, and MLOps practices.</li><li>
Strong problem-solving and analytical skills.</li></ul>
Preferred Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>
Experience working on enterprise AI automation or AI assistant platforms is highly preferred.</li><li>
Exposure to AI governance, evaluation frameworks, and AI observability tools is a plus.</li></ul> 

tTAmIvfFVv</div>

AI/ML Engineer – Agentic AI

VALUEMOMENTUM Inc

<div><div>Job Title: AI/ML Lead
</div><div>Job ID: POS-18617</div>
<div>Primary Skill: AWS Services</div> 
 
<div>Key Skills: AI, ML, Generative AI, GitHub CoPilot, Prompt Engineering, Python 
Mode of Work: Work From Office (4 Days) 
Job Location: Hyderabad / Pune
 
Experience: 7 to 12 Years 
About the job:
We are looking for an experienced AI Engineer with a strong background Artificial Intelligence, Machine Learning, Generative AI, Coding Assistants, AI Assistants and Agile Software Development. The successful candidate will be responsible for every stage of AI, Generative AI development, from conceptualization and design to rigorous testing and successful deployment. 
Know your team:
At ValueMomentum&rsquo;s we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&amp;C insurance value chain. We achieve this through strong engineering foundation and continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain expertise.
Join a team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development leveraging immersive learning platforms. You'll have the opportunity to showcase your talents by contributing to impactful projects. 
Responsibilities:<ul><li>
Lead the design, development, and deployment of AI/ML and Generative AI solutions aligned with business objectives.</li><li>
Drive end-to-end AI initiatives, collaborating with product, engineering, data science, and business stakeholders.</li><li>
Architect scalable AI applications leveraging LLMs, RAG pipelines, Agentic AI frameworks, vector databases, and cloud-native services.</li><li>
Provide technical leadership in Python, AI/ML frameworks, Prompt Engineering, LangChain, Semantic Kernel, AutoGen, and Azure OpenAI.</li><li>
Define AI architectures, model selection strategies, data ingestion, embeddings, retrieval mechanisms, and optimization approaches.</li><li>
Lead the development of AI Copilots, Coding Assistants, and intelligent automation solutions across enterprise use cases.</li><li>
Establish best practices for prompt engineering, model evaluation, governance, responsible AI adoption, and solution quality.</li><li>
Drive integration of AI services with enterprise applications using OpenAI, Azure OpenAI, APIs, Azure AI Search, and Cosmos DB.</li><li>
Ensure solution scalability, security, reliability, performance, and cost optimization through cloud-native and CI/CD practices.</li><li>
Mentor engineering teams through architecture reviews, code reviews, technical coaching, and AI adoption initiatives.</li><li>
Evaluate emerging AI, LLM, and Agentic AI technologies and translate them into business value.</li><li>
Partner with leadership to define AI roadmaps, manage risks, and deliver measurable business outcomes.</li></ul> 
Requirements:<ul><li>
Hands-on Experience in either of the following programming languages &ndash; Python /C# / Java/ JavaScript</li><li>
AI-centric libraries like TensorFlow, PyTorch, Keras</li><li>
Deep proficiency with AI/ML frameworks and libraries including TensorFlow, PyTorch, and Keras, with the ability to architect scalable training and inference pipelines.</li><li>
Strong command of Cloud &amp; MLOps platforms, such as AWS SageMaker, Azure Machine Learning, Google AI Platform, including experience building automated model deployment, monitoring, and retraining pipelines.</li><li>
Expertise in generative models such as generative adversarial networks (GANs), variational autoencoders (VAEs)</li><li>
Hands-on Experience in using Coding Assistants &ndash; GitHub Copilot, Codium, ChatGPT</li><li>
Hands-on Experience in using Agentic AI Platforms &ndash; Microsoft Copilot Agents, AutoGPT, CrewAI, Anthropic Claude etc</li><li>
Experience with cloud platforms like AWS, Azure, GCP</li><li>
Provide direction, mentorship for junior AI engineers in all projects related aspects</li><li>
Participate &amp; perform code reviews of Generative AI, AI Components &amp; Codebase</li><li>
Strong problem-solving skills with the ability to quickly identify the root cause of Java application incidents and perform effective troubleshooting.</li><li>
Excellent verbal and written communication skills for interacting with both technical teams and business stakeholders.</li></ul> 
Good To Have:<ul><li>
Experience in developing, managing products/solutions using .NET Platform / Java Platform either the Full Stack &amp; Monolith</li><li>
Understanding &amp; working knowledge of Classic ASP, VB6</li><li>
Experience with CI/CD pipelines (e.g., Jenkins, GitLab CI) and DevOps tools (e.g., Docker, Kubernetes) for continuous delivery of Java applications.</li><li>
Basic understanding of cloud security best practices</li></ul> 
</div> 
<div><div>About the Company: 
Founded in 2000 with the core belief that impactful change comes from deep commitment, ValueMomentum specializes in delivering measurable results across the P&amp;C value stream. For more than 25 years, we have empowered more than 100 carriers to reimagine their businesses with AI and emerging technologies, navigate market shifts, unlock speed to value, and become future-ready. We help insurers in the US, Canada, and Europe stay ahead with sustained growth and high performance to enhance stakeholder value and foster resilient societies. For more information, visit ValueMomentum 
</div> 
<div>Benefits: 
We at ValueMomentum offer you a congenial environment to work and grow in the company of experienced professionals. Some benefits that are available to you are:
<ul><li>Competitive compensation package.</li>
<li>Career Advancement: Individual Career Development, coaching and mentoring programs for professional and leadership skill development.</li>
<li>Comprehensive training and certification programs.</li>
<li>Performance Management: Goal Setting, continuous feedback and year-end appraisal. Reward &amp; recognition for the extraordinary performers.</li></ul></div></div></div>

AI/ML Lead

Volga Partners

<div>Office Location: House #571, Street #35, E-11/3, Islamabad, Pakistan
Monthly salary for Full-Time: PKR 150,000 - PKR 400,000
Work Setup: Onsite
About Volga Partners
Volga Partners is a global leader in generative AI (GenAI) innovation, building and deploying advanced AI solutions that drive real-world business transformation. We design intelligent systems, custom large language model (LLM) applications, and next-generation automation that enable organizations to operate smarter, faster, and more efficiently.
Our mission is to make GenAI practical, scalable, and impactful. We go beyond implementation&mdash;specializing in refining and enhancing LLMs with high accuracy across complex, high-value domains including finance, healthcare, legal, and technology. By tailoring models to specific use cases, we enable our partners to achieve measurable outcomes and unlock new growth opportunities.
With a global workforce of 3,000+ professionals across multiple countries, Volga Partners brings together diverse perspectives, cultures, and expertise. This diversity fuels innovation and allows us to deliver solutions that are both globally relevant and locally effective.
At Volga Partners, you&rsquo;ll join a collaborative, forward-thinking team solving complex problems, exploring new frontiers in artificial intelligence, and shaping the future of intelligent technology.
Overview
We are hiring a mid-level AI Engineer to build and ship AI-powered features end-to-end.
This is not a junior role &mdash; candidates must have hands-on experience delivering production-ready AI solutions and the ability to independently execute in a fast-paced environment.
You will work closely with founders and product teams to develop intelligent systems such as copilots, chatbots, and automation tools, while ensuring performance, scalability, and reliability. 
Key Responsibilities<ul><li>
Build and ship AI-powered features (chatbots, copilots, automation tools)
</li><li>Design and implement RAG pipelines using embeddings and vector search
</li><li>Write and optimize prompts and system instructions
</li><li>Integrate LLM APIs (OpenAI, Anthropic, etc.) into production systems
</li><li>Develop backend services (Python / Node.js) to support AI workflows
</li><li>Work with real-world data (documents, logs, APIs)
</li><li>Improve system reliability through evaluations, testing, and iteration
</li><li>Debug issues such as hallucinations, latency, and cost inefficiencies
</li><li>Collaborate closely with founders and product team on product direction
</li></ul>Requirements<ul><li>
3+ years of experience in Machine Learning or AI-related roles
</li><li>Strong coding skills in Python or JavaScript
</li><li>Hands-on experience working with LLM APIs
</li><li>Experience building RAG pipelines or agent-based systems
</li><li>Solid understanding of ML fundamentals (fine-tuning is a plus)
</li><li>Proven ability to build and ship production-ready systems
</li></ul>Tech Stack<ul><li>
Python, Node.js
</li><li>OpenAI / Anthropic APIs
</li><li>Vector databases (Pinecone, Chroma)
</li><li>React / Next.js
</li><li>AWS / Vercel
</li><li>LangChain / LlamaIndex
</li><li>Prompt engineering
</li><li>Embeddings + vector search
</li><li>API design and backend systems</li></ul> 
Nice to Have<ul><li>
Experience with LLM evaluation, fine-tuning, or model optimization
</li><li>Exposure to agent frameworks or multi-step reasoning systems
</li><li>Domain experience in finance, healthcare, legal, or other high-accuracy environments</li></ul>
What we Offer<ul><li>
Salary: PKR 150,000 - PKR 400,000 PKR/month (based on experience and alignment with role expectations)</li><li>
Opportunity to own and shape a meaningful internal product</li><li>
Collaborative, low-bureaucracy environment</li><li>
Exposure to cutting-edge AI and automation technologies</li></ul></div>

AI Engineer - AI/LLM (Backend) | Pakistan

Experian

<div><div>Role Overview</div> 
We are looking for an enthusiastic Senior GenAI Engineer to drive our generative AI initiatives, with a strong focus on building GenAI utilities that elevate Quality Assurance practices and accelerate developer productivity across the engineering organisation.
You will design, build, and operationalise LLM-powered tools, agents, and platforms on AWS that are secure, scalable, and production-ready in a regulated environment.
Key Responsibilities<ul><li>
You will be #LI-hybrid based in Hyderabad and reporting to Director Engineering</li><li>
Work as a senior GenAI engineer in an agile team to deliver high-quality, production-grade GenAI solutions within agreed timelines, aligned with business requirements and agile principles.</li><li>
Design and build GenAI-powered utilities for QA - including intelligent test case generation, test data synthesis, automated defect triage, log/anomaly summarization, and assistive code/test review tooling - to measurably improve quality and engineering velocity.</li><li>
Develop reusable GenAI accelerators, libraries, and internal copilots that increase productivity across software engineering, QA, and operations teams.</li><li>
Translate business and engineering requirements into clean, scalable Python code, applying design patterns, secure coding practices, and modern LLM application architectures (RAG, tool-use, agents).</li><li>
Build and operate LLM applications on AWS using services such as Amazon Bedrock, SageMaker, Lambda, ECS/EKS, API Gateway, S3, DynamoDB, and OpenSearch.</li><li>
Establish patterns and frameworks for prompt engineering, retrieval-augmented generation, evaluation, observability, and continuous improvement of GenAI systems.</li><li>
Champion responsible AI - guardrails, PII protection, model governance, hallucination mitigation, and compliance with security and regulatory requirements.</li><li>
Collaborate closely with cross-functional team members - QA engineers, software engineers, architects, product, and security - to design, develop, test, and release GenAI-powered software.</li><li>
Contribute to development processes and practices, fostering a culture of continuous integration, delivery, evaluation, and improvement for GenAI systems.</li><li>
Provide clear and concise documentation for prompts, models, datasets, code, processes, and system architecture to support knowledge sharing and maintainability.</li></ul> 
 
<div>Experience and Skills</div> 
<ul><li>Bachelor's degree in engineering or a related discipline.</li><li>
3+ years of hands-on experience in software development, with at least 1+ years working on production GenAI / LLM-based applications.</li><li>
Proven experience building secure, high-volume, mission-critical systems in regulated industries (finance / insurance / healthcare).</li><li>
Expertise in translating business requirements into clean, scalable code using design patterns and security best practices.</li><li>
Strong individual contributor and effective team collaborator, comfortable working with QA, engineering, and product stakeholders.</li></ul>
Technical Skills<ul><li>
Strong Python development skills - building production services with frameworks such as FastAPI / Flask, Pydantic, asyncio, and modern packaging/testing tooling.</li><li>
Hands-on expertise with AWS for designing, deploying, and operating applications - Bedrock, SageMaker, Lambda, ECS/EKS, API Gateway, S3, DynamoDB, OpenSearch, IAM, CloudWatch, Step Functions.</li><li>
Strong working knowledge of GenAI fundamentals - LLMs (Claude, GPT, Llama, Mistral and similar), embeddings, tokenisation, context windows, model selection, and cost/performance trade-offs.</li><li>
Experience designing and shipping Retrieval-Augmented Generation (RAG) solutions using vector stores (OpenSearch, pgvector, Pinecone, FAISS) and hybrid retrieval patterns.</li><li>
Practical experience with prompt engineering, structured outputs, function/tool calling, and agentic patterns; familiarity with frameworks such as LangChain, LlamaIndex, Bedrock Agents, or similar.</li><li>
Experience defining and running LLM evaluation frameworks - golden datasets, automated evals, regression testing, and online metrics for quality, safety, and cost.</li><li>
Building and consuming REST / gRPC APIs using microservices / SOA, with strong API design, versioning, and security practices.</li><li>
Experience writing unit and integration tests (pytest), applying TDD, and building eval harnesses for LLM-based components.</li><li>
Expertise in creating, maintaining, and reusing frameworks / libraries for GenAI utilities and shared platform capabilities.</li><li>
Experience with model fine-tuning and parameter-efficient techniques (LoRA, QLoRA), distillation, and small-language-model deployment.</li><li>
Experience with agentic frameworks, multi-agent orchestration, and emerging standards such as Model Context Protocol (MCP).</li><li>
Clean code, clean architecture, SOLID principles, and design patterns applied to data- and ML-intensive systems.</li><li>
Expertise with SQL / NoSQL databases (PostgreSQL, DynamoDB, MongoDB) for application and feature/metadata storage.</li><li>
Proficient with Docker, Kubernetes, and Git (Bitbucket, GitHub, GitLab) and CI/CD practices.</li><li>
Experience working in Agile teams (Scrum or Kanban).</li><li>
Familiar with static code analysis, dependency scanning, and vulnerability management for AI/ML applications.</li></ul>
Desirable Skills<ul><li>
Demonstrable experience building GenAI utilities or copilots for QA and/or developer productivity (test generation, defect triage, code/test review assistants, documentation generation).</li><li>
AWS certifications - especially AWS Certified Machine Learning - Specialty, AI Practitioner, Solutions Architect, or Developer Associate.</li><li>
Experience deploying and scaling services on Amazon ECS / EKS and serverless GenAI architectures.</li><li>
Working knowledge of GenAI tools for coding (e.g., GitHub Copilot, Amazon Q Developer, Claude Code).</li><li>
Familiarity with Domain-Driven Design (DDD) and Event-Driven Architecture (EDA).</li><li>
Event streaming / messaging tools (Kafka, EventBridge, Kinesis, RabbitMQ, ActiveMQ).</li><li>
Proficient in Infrastructure as Code (IaC) using Terraform, CloudFormation, or AWS CDK.</li><li>
CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins, with experience building MLOps / LLMOps pipelines.</li><li>
Experience with LLM observability and evaluation tooling (LangSmith, LangFuse, RAGAS, Helicone, Arize) and responsible-AI guardrails.</li></ul> 

 
<div>About Experian</div> 
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. 
Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward &amp; recognition, volunteering... the list goes on.
Experian's people first approach is award-winning; World's Best Workplaces&trade; 2024 (Fortune Global Top 25), Great Place To Work&trade; in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site and Glassdoor to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Benefits
Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off.
Experian Careers - Creating a better tomorrow together
This is a hybrid remote/in-office role.<div></div>
Experian Careers - Creating a better tomorrow together</div>

Gen AI Engineer

Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 
 Role Overview
 
 
 
 We&rsquo;re looking for a
 
 Full Stack AI Software Engineer with strong AI/ML experience
 
 to join our AI Factory team.
 
 
 You&rsquo;ll work on designing, developing, and deploying scalable, production-grade applications that integrate
 
 Large Language Models
 
 ,
 
 Generative AI
 
 , and
 
 data pipelines
 
 .
 
 
 You will collaborate closely with data scientists, AI researchers, and business stakeholders to turn ideas into impactful AI-powered software products.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop end-to-end AI-powered applications and internal tools for business teams.
 </li>
 <li>
 Build and maintain full-stack applications using React (frontend) and Python/FastAPI (backend).
 </li>
 <li>
 Implement and optimize LLM-based systems, including RAG pipelines, prompt engineering, and model integration.
 </li>
 <li>
 Collaborate with AI/ML engineers to productionize models and integrate them into user-facing products.
 </li>
 <li>
 Deploy, monitor, and maintain applications using Docker and Kubernetes.
 </li>
 <li>
 Contribute to the AI Factory platform by developing reusable components, APIs, and SDKs.
 </li>
 <li>
 Ensure software quality through testing, CI/CD pipelines, and DevOps best practices.
 
 
 </li>
 </ul>
 Stay updated on the latest trends in
 
 AI/ML
 
 ,
 
 Generative AI
 
 , and
 
 LLM frameworks
 
 (LangChain, LlamaIndex, etc.)
 
 
 
 About You
 
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 7+ years of professional experience as a Software Engineer.
 </li>
 <li>
 Strong leadership skills
 </li>
 <li>
 Strong full-stack development skills:
 </li>
 <li>
 Proven experience building AI-driven applications, especially with LLMs, Generative AI, or RAG systems.
 </li>
 <li>
 Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
 </li>
 <li>
 Solid understanding of RESTful APIs, microservices, and system design.
 </li>
 <li>
 Strong problem-solving skills, with a collaborative and pragmatic mindset.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with LangChain, LlamaIndex, or similar LLM frameworks.
 </li>
 <li>
 Knowledge of vector databases (e.g., PostgreSql, Pinecone, Weaviate, FAISS).
 </li>
 <li>
 Exposure to MLOps and AI model lifecycle management.
 </li>
 <li>
 Familiarity with prompt engineering and AI agent frameworks.
 </li>
 <li>
 Experience building internal tools or platforms for cross-functional teams.
 
 
 </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Senior Full Stack AI Software Engineer

Search 2973+ Generative ai engineer jobs near you this June. New roles added regularly across leading industries. Apply today.