820 AI Specialists jobs in Hyderabad

Company Description

Loyyal is a loyalty and payments innovation company that offers an Enterprise SaaS Suite powered by patented blockchain technology. We focus on disrupting the loyalty industry by delivering efficiency, security, and scalability at a low cost. Our platform is designed to reduce operational complexity and boost revenue for loyalty programs, driving customer engagement and loyalty in a competitive marketplace.

We’re looking for a seasoned  AI Engineer  who thrives on solving complex challenges and building intelligent systems that scale. This role is ideal for someone passionate about deep learning, GenAI, and production-grade AI systems. You’ll work closely with our data, engineering, and product teams to design, build, and deploy advanced AI models across a variety of real-world use cases.

As a Senior AI Engineer, you’ll play a key role in architecting, developing, and optimizing our AI systems—from fine-tuning large language models to building robust MLOps pipelines. This is an opportunity to be part of a high-impact team shaping next-generation AI experiences.

• Design, build, and deploy scalable AI models, with a focus on NLP, LLMs, and Generative AI use cases
• Fine-tune open-source or proprietary LLMs (e.g., LLaMA, Mistral, GPT-J) for domain-specific tasks
• Collaborate with product and engineering teams to integrate AI models into user-facing applications
• Develop MLOps pipelines using tools like MLflow, Kubeflow, or Vertex AI for model versioning, monitoring, and deployment
• Optimize inference performance, memory usage, and cost efficiency in production environments
• Apply prompt engineering, retrieval-augmented generation (RAG), and few-shot techniques where appropriate
• Conduct experiments, A/B testing, and evaluations to continuously improve model accuracy and reliability
• Stay up to date with the latest developments in AI/ML research, especially in LLM and GenAI domains
• Write clean, modular, and well-documented code and contribute to technical design reviews
• Mentor junior team members and collaborate in agile sprint cycles

• 6+ years of experience in machine learning or AI engineering
• 2+ years working with LLMs, Transformers, or Generative AI models
• Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers)
• Experience deploying AI models in production (cloud-native or on-prem)
• Strong grasp of model fine-tuning, quantization, and serving at scale
• Familiarity with MLOps, including experiment tracking, CI/CD, and containerization (Docker, Kubernetes)
• Experience integrating AI with REST APIs, cloud services (AWS/GCP), and vector databases (e.g., Pinecone, Weaviate, FAISS)
• Understanding of ethical AI, data privacy, and fairness in model outcomes
• Strong debugging, problem-solving, and communication skills
• Experience working in agile teams with code review and version control (Git)

• Hands-on experience with Retrieval-Augmented Generation (RAG) pipelines
• Familiarity with OpenAI, Anthropic, or Cohere APIs and embedding models
• Knowledge of LangChain, LlamaIndex, or Haystack for AI application orchestration
• Experience with streaming data and real-time inference systems
• Understanding of multi-modal models (e.g., combining text, image, audio inputs)
• Prior experience in a startup, product-focused, or fast-paced R&D environment

• Competitive compensation (base + performance-based bonuses or token equity)
• Fully remote and flexible work culture
• A front-row seat to build next-gen AI experiences in a high-growth environment
• Opportunity to shape AI strategy, tools, and infrastructure from the ground up
• Access to high-end GPU infrastructure and compute resources

Send your resume and a short cover letter highlighting:

• Your experience with LLMs, GenAI, and deployed AI systems
• Links to AI/ML projects, GitHub repos, or research (if public)
• Why you're interested in this role and how you envision contributing.

We are seeking a highly skilled and innovative AI Lead/Developer with proven experience in designing, developing, and deploying AI Agents and Conversational AI Chatbots using Azure Cloud Services . You will play a critical role in transforming enterprise workflows through intelligent automation, integrating with modern AI platforms, and delivering scalable solutions that drive business outcomes.

• Research, design and develop intelligent AI agents , AI/GenAI apps and chatbots using Azure OpenAI, Azure AI foundry, Semantic Kernel, Vector Databases, Azure AI Agent Service, Azure AI Model Inference, Azure AI Search, Azure Bot Services, Cognitive Services, Azure Machine Learning. Etc
  
• Lead architecture and implementation of AI workflows, including prompt engineering , RAG (Retrieval-Augmented Generation) , and multi-turn conversational flows .
  
• Build and fine-tune LLM-based applications using Azure OpenAI (GPT models) for various enterprise use cases (customer support, internal tools, etc.).
  
• Integrate AI agents with backend services, APIs, databases, and third-party platforms via Azure Logic Apps, Azure Functions, and REST APIs.
  
• Design secure and scalable cloud architecture using Azure App Services, Azure Kubernetes Service (AKS), Azure API Management , etc.
  
• Collaborate with product managers, UX designers, and business stakeholders to define AI use cases and user interaction strategies.
  
• Conduct performance tuning, A/B testing, and continuous improvement of AI agent responses and model accuracy.
  
• Provide technical leadership, mentoring junior developers and contributing to architectural decisions.
  
• Stay up to date with advancements in Generative AI, LLM orchestration, and Azure AI ecosystem.
  

Required Skills & Experience:

• 4+ years of experience in AI/ML or software development, with at least 2+ years focused on Azure AI and chatbot development.
  
• Strong knowledge of Azure OpenAI Service , Azure Bot Framework, Azure Cognitive Services (LUIS, QnA Maker, Speech).
  
• Experience with Python , Node.js , or C# for bot development.
  
• Familiarity with LangChain , Semantic Kernel , or other agent orchestration frameworks (preferred).
  
• Hands-on experience deploying AI solutions using Azure ML , Azure DevOps , and containerization (Docker/Kubernetes) .
  
• Deep understanding of natural language processing (NLP) , LLMs , and prompt engineering techniques .
  
• Experience with RAG pipelines , vector databases (e.g., Azure Cognitive Search or Pinecone), and knowledge grounding.
  
• Proven experience integrating chatbots with enterprise platforms (MS Teams, Slack, Web, CRM, etc.).
  
• Strong problem-solving skills, analytical mindset, and passion for emerging AI technologies.
  

 Preferred Qualifications:

• Microsoft Certified: Azure AI Engineer Associate or equivalent.
  
• Familiarity with Ethical AI , responsible AI design principles , and data governance .
  
• Prior experience in building multilingual and voice-enabled agents.
  
• Experience with CI/CD for AI pipelines using Azure DevOps or GitHub Actions.
  

·    Attractive salary packages with performance-based incentives.
·    Opportunities for professional certifications (e.g., AWS, Kubernetes, Terraform).
·    Access to training programs, workshops, and learning resources.
·    Comprehensive health insurance coverage for employees and their families.
·    Wellness programs and mental health support.
·    Hands-on experience with large-scale, innovative cloud solutions.
·    Opportunities to work with modern tools and technologies.
·    Inclusive, supportive, and team-oriented environment.
·    Opportunities to collaborate with global clients and cross-functional teams.
·    Regular performance reviews with rewards for outstanding contributions.
·    Employee appreciation events and programs.

We are seeking a highly skilled and innovative AI Lead/Developer with proven experience in designing, developing, and deploying AI Agents and Conversational AI Chatbots using Azure Cloud Services . You will play a critical role in transforming enterprise workflows through intelligent automation, integrating with modern AI platforms, and delivering scalable solutions that drive business outcomes.

• Research, design and develop intelligent AI agents , AI/GenAI apps and chatbots using Azure OpenAI, Azure AI foundry, Semantic Kernel, Vector Databases, Azure AI Agent Service, Azure AI Model Inference, Azure AI Search, Azure Bot Services, Cognitive Services, Azure Machine Learning. Etc
  
• Lead architecture and implementation of AI workflows, including prompt engineering , RAG (Retrieval-Augmented Generation) , and multi-turn conversational flows .
  
• Build and fine-tune LLM-based applications using Azure OpenAI (GPT models) for various enterprise use cases (customer support, internal tools, etc.).
  
• Integrate AI agents with backend services, APIs, databases, and third-party platforms via Azure Logic Apps, Azure Functions, and REST APIs.
  
• Design secure and scalable cloud architecture using Azure App Services, Azure Kubernetes Service (AKS), Azure API Management , etc.
  
• Collaborate with product managers, UX designers, and business stakeholders to define AI use cases and user interaction strategies.
  
• Conduct performance tuning, A/B testing, and continuous improvement of AI agent responses and model accuracy.
  
• Provide technical leadership, mentoring junior developers and contributing to architectural decisions.
  
• Stay up to date with advancements in Generative AI, LLM orchestration, and Azure AI ecosystem.
  

Required Skills & Experience:

• 4+ years of experience in AI/ML or software development, with at least 2+ years focused on Azure AI and chatbot development.
  
• Strong knowledge of Azure OpenAI Service , Azure Bot Framework, Azure Cognitive Services (LUIS, QnA Maker, Speech).
  
• Experience with Python , Node.js , or C# for bot development.
  
• Familiarity with LangChain , Semantic Kernel , or other agent orchestration frameworks (preferred).
  
• Hands-on experience deploying AI solutions using Azure ML , Azure DevOps , and containerization (Docker/Kubernetes) .
  
• Deep understanding of natural language processing (NLP) , LLMs , and prompt engineering techniques .
  
• Experience with RAG pipelines , vector databases (e.g., Azure Cognitive Search or Pinecone), and knowledge grounding.
  
• Proven experience integrating chatbots with enterprise platforms (MS Teams, Slack, Web, CRM, etc.).
  
• Strong problem-solving skills, analytical mindset, and passion for emerging AI technologies.
  

 Preferred Qualifications:

• Microsoft Certified: Azure AI Engineer Associate or equivalent.
  
• Familiarity with Ethical AI , responsible AI design principles , and data governance .
  
• Prior experience in building multilingual and voice-enabled agents.
  
• Experience with CI/CD for AI pipelines using Azure DevOps or GitHub Actions.
  

·    Attractive salary packages with performance-based incentives.
·    Opportunities for professional certifications (e.g., AWS, Kubernetes, Terraform).
·    Access to training programs, workshops, and learning resources.
·    Comprehensive health insurance coverage for employees and their families.
·    Wellness programs and mental health support.
·    Hands-on experience with large-scale, innovative cloud solutions.
·    Opportunities to work with modern tools and technologies.
·    Inclusive, supportive, and team-oriented environment.
·    Opportunities to collaborate with global clients and cross-functional teams.
·    Regular performance reviews with rewards for outstanding contributions.
·    Employee appreciation events and programs.

We are seeking a highly skilled and innovative AI Lead/Developer with proven experience in designing, developing, and deploying AI Agents and Conversational AI Chatbots using Azure Cloud Services . You will play a critical role in transforming enterprise workflows through intelligent automation, integrating with modern AI platforms, and delivering scalable solutions that drive business outcomes.

Required Skills & Experience:

 Preferred Qualifications:

AI/ML Internship Opportunities

We're seeking talented individuals to join our team as AI/ML interns. This is an excellent chance to learn and grow in a dynamic environment.

We're looking for enthusiastic and motivated individuals to work on various projects related to artificial intelligence and machine learning. As an AI/ML intern, you'll have the opportunity to:

• Collaborate with our experienced engineers to develop and deploy ML workflows
• Train and evaluate classical ML models and build simple NLP/computer vision applications
• Support the development of AI agents using tools like OpenAI, LangChain, and other LLM frameworks
• Perform data preprocessing, feature engineering, and model tuning
• Document experiments and actively contribute to the product's intelligence layer

To be successful in this role, you should have:

• A basic understanding of ML algorithms (e.g., Linear Regression, SVMs, Clustering, etc.)
• Proficiency in Python with experience using NumPy, Pandas, Scikit-learn, Matplotlib
• Familiarity with TensorFlow or PyTorch for deep learning
• An understanding of data preprocessing and model evaluation techniques
• Comfort with Git, GitHub, or Bitbucket for version control

As an AI/ML intern, you'll enjoy:

• Remote-first internship with flexible hours
• Real-world projects with industry impact
• Fast-track to a full-time role based on performance
• 1-on-1 mentorship from experienced AI/ML engineers
• A letter of recommendation & internship certificate

If you're passionate about AI/ML and want to take your skills to the next level, apply now by sending your CV + a short introduction video to the contact email provided.

Meet Our Team:

Join our dynamic Sales Enablement & Effectiveness team, based in India, where innovation meets impact! We leverage cutting-edge technology and AI to strengthen our relationships with global clients and partners. As part of Sales Enablement & Effectiveness team, the CLSA team plays a pivotal role in supporting our global LSA initiatives by delivering highquality courses and certifications, empowering professionals within the Pega ecosystem.

You will be part of the CLSA team and in this role, you will collaborate closely with our global leadership to drive key initiatives, including but not limited to:

Picture Yourself at Pega:

Pega is changing the way the world builds software. In this role, you’ll help Pega, our Partners and our clients deliver the next generation customer centric solutions. The Sales Enablement & Effectiveness team works with our stakeholders across the US, APAC, and EMEA regions to ensure they can effectively sell and implement Pega solutions.

Picture Yourself at Pega:

Pega is changing the way the world builds software. In this role, you’ll help Pega, our Partners and our clients deliver the next generation customer centric solutions. The Sales Enablement & Effectiveness team works with our stakeholders across the US, APAC, and EMEA regions to ensure they can effectively sell and implement Pega solutions.

What You'll Do at Pega:

As a Lead System Architect (LSA) in the Sales Enablement & Effectiveness team, you’ll play a critical role in empowering Pega professionals and driving innovation through AI. Your responsibilities will include:

Who You Are:

We’re looking for a passionate, highly technical, and collaborative Lead System Architect who thrives in a fast-paced environment. You bring:

What You've Accomplished:

You bring a strong technical foundation and a proven track record of success, including:

Pega Offers You:

Meet Our Team:

Join our dynamic Sales Enablement & Effectiveness team, based in India, where innovation meets impact! We leverage cutting-edge technology and AI to strengthen our relationships with global clients and partners. As part of Sales Enablement & Effectiveness team, the CLSA team plays a pivotal role in supporting our global LSA initiatives by delivering highquality courses and certifications, empowering professionals within the Pega ecosystem.

You will be part of the CLSA team and in this role, you will collaborate closely with our global leadership to drive key initiatives, including but not limited to:

Picture Yourself at Pega:

Pega is changing the way the world builds software. In this role, you’ll help Pega, our Partners and our clients deliver the next generation customer centric solutions. The Sales Enablement & Effectiveness team works with our stakeholders across the US, APAC, and EMEA regions to ensure they can effectively sell and implement Pega solutions.

What You'll Do at Pega:

As a Lead System Architect (LSA) in the Sales Enablement & Effectiveness team, you’ll play a critical role in empowering Pega professionals and driving innovation through AI. Your responsibilities will include:

Who You Are:

We’re looking for a passionate, highly technical, and collaborative Lead System Architect who thrives in a fast-paced environment. You bring:

What You've Accomplished:

You bring a strong technical foundation and a proven track record of success, including:

Pega Offers You: