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

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

09 Aug
|
DigitalXNode
|
Hyderabad

09 Aug

DigitalXNode

Hyderabad

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 up-to-date 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 setting.
- Competitive compensation and benefits.
- Opportunity to shape the future of AI-powered enterprise solutions.

📌 AI Engineer (Generative AI / Agentic AI) | LLM • RAG • Agentic AI | Apply Now (Hyderabad)
🏢 DigitalXNode
📍 Hyderabad

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