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AI Engineer (Generative AI / Agentic AI) | LLM • RAG • Agentic AI | Apply Now

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  • June 25 2026
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We’re Hiring | AI Engineer (Generative AI / Agentic AI)

Are you passionate about building intelligent AI systems that solve real-world business challenges ?

Do you enjoy designing autonomous AI agents, developing enterprise-grade Generative AI applications, and deploying production-ready AI solutions powered by Large Language Models ?

If you’re excited about shaping the future of Artificial Intelligence through innovation, automation, and cutting-edge AI technologies, we’d love to meet you.

At DigitalXnode, we’re expanding our AI Engineering team and looking for experienced professionals who can build scalable, secure, and production-ready AI applications. This role offers the opportunity to work on next-generation AI products, enterprise automation platforms, and intelligent multi-agent systems using the latest advancements in Generative AI.

If you thrive in a fast-paced environment and enjoy solving complex engineering problems, this opportunity is for you.

About the Role

As an AI Engineer, you’ll play a key role in designing, developing, and deploying intelligent AI systems powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks.

You’ll collaborate with product managers, software engineers, and AI researchers to build innovative AI-driven solutions that improve business processes, automate workflows, and deliver exceptional user experiences.

This is an opportunity to work on challenging AI projects that move beyond experimentation into real-world production deployments.

Key Responsibilities

As part of our AI Engineering team, you will:

  • Design, develop, and deploy enterprise-grade Generative AI applications.
  • Build intelligent AI agents capable of autonomous reasoning and task execution.
  • Develop scalable Retrieval-Augmented Generation (RAG) pipelines using vector databases.
  • Create production-ready LLM applications with strong security and performance standards.
  • Design AI workflows for business automation and operational efficiency.
  • Integrate Large Language Models through APIs and open-source frameworks.
  • Optimize prompts, workflows, and model performance for high-quality AI outputs.
  • Evaluate AI models using modern testing and benchmarking frameworks.
  • Implement AI guardrails, safety mechanisms, and responsible AI practices.
  • Collaborate with engineering teams to integrate AI capabilities into enterprise products.
  • Research emerging AI technologies and recommend innovative solutions.
  • Monitor deployed AI systems and continuously improve their accuracy, reliability, and scalability.

Required Skills

We’re looking for engineers with strong expertise in the following areas:

Core AI Technologies

  • Generative AI
  • Agentic AI
  • Large Language Models (LLMs)
  • Prompt Engineering
  • AI Workflow Orchestration
  • Multi-Agent Systems
  • Retrieval-Augmented Generation (RAG)
  • AI Automation

Programming

  • Python
  • REST APIs
  • Object-Oriented Programming
  • Software Engineering Best Practices

AI Frameworks

Experience with one or more of:

  • LangChain
  • LangGraph
  • LlamaIndex
  • CrewAI
  • AutoGen
  • Semantic Kernel (preferred)

AI Platforms

Hands-on experience with:

  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • Open-source LLMs (Llama, Mistral, DeepSeek, etc.)

Databases & Search

  • Vector Databases
  • Pinecone
  • Weaviate
  • ChromaDB
  • FAISS
  • Elasticsearch (preferred)

Cloud Platforms

Experience with any of:

  • Amazon Web Services (AWS)
  • Microsoft Azure
  • Google Cloud Platform (GCP)

DevOps & Deployment

  • Docker
  • Kubernetes (preferred)
  • CI/CD Pipelines
  • Git & GitHub

Preferred Qualifications

  • 5–8 years of software engineering experience.
  • Strong hands-on experience with Generative AI and LLM-based applications.
  • Experience designing scalable AI architectures.
  • Knowledge of AI evaluation metrics and benchmarking techniques.
  • Familiarity with vector search and semantic retrieval.
  • Understanding of responsible AI, model safety, and AI governance.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Experience working in Agile development environments.

Why Join DigitalXnode?

At DigitalXnode, you’ll work with a passionate team focused on delivering innovative AI solutions for global clients.

You’ll have the opportunity to:

  • Build next-generation AI products.
  • Work with the latest Generative AI technologies.
  • Develop enterprise-scale AI applications.
  • Collaborate with experienced AI engineers and architects.
  • Solve complex business challenges using AI.
  • Experiment with emerging AI frameworks and models.
  • Contribute to impactful AI innovations.
  • Accelerate your professional growth in one of the fastest-growing technology domains.

We believe in empowering engineers with ownership, innovation, and continuous learning.

What We Offer

  • Opportunity to work on cutting-edge AI technologies.
  • Challenging enterprise AI projects.
  • Collaborative and innovation-driven work culture.
  • Exposure to global clients and products.
  • Continuous learning and career development.
  • Flexible and growth-oriented environment.
  • Competitive compensation and benefits.
  • Opportunity to shape the future of AI-powered enterprise solutions.
Technology: LLM AI/ML AWS Cloud Services Generative AI
Job Type: Full Time
Job Location: Bangalore Hyderabad
Experience: 5 to 8 Years

Apply for this position

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