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We’re Hiring: AI & Retrieval Engineer | 3–5 Years Experience
Are you passionate about Artificial Intelligence, Generative AI, LLMs, and intelligent knowledge systems? Do you enjoy building AI applications that can understand, retrieve, and work with complex information?
We’re looking for an experienced AI & Retrieval Engineer with 3–5 years of experience to join our team and help develop intelligent AI systems, knowledge platforms, and retrieval-based applications.
🔍 Role: AI & Retrieval Engineer
Experience: 3–5 Years
Location: Kochi
Employment Type: Full-time
💡 What You’ll Be Working On
As an AI & Retrieval Engineer, you will be responsible for designing and developing AI-powered solutions that combine LLMs, retrieval systems, knowledge bases, and intelligent agents.
Your work will include:
Developing intelligent AI applications using Python
Building and optimizing Retrieval-Augmented Generation (RAG) pipelines
Working with Generative AI and Large Language Models (LLMs)
Designing and implementing vector databases and semantic retrieval systems
Developing embeddings and semantic search solutions
Building AI workflows and applications using LangChain / LangGraph
Developing and integrating AI agents
Applying effective prompt engineering techniques
Working on document processing and knowledge retrieval
Integrating AI solutions with external/internal APIs
Evaluating and improving the accuracy, relevance, and performance of AI systems
Contributing to the development of scalable knowledge platforms and retrieval-based applications
🛠️ Key Skills & Requirements
We’re looking for candidates with hands-on experience in:
✅ Python
✅ Generative AI & LLMs
✅ RAG (Retrieval-Augmented Generation)
✅ Vector Databases
✅ Embeddings & Semantic Search
✅ LangChain / LangGraph
✅ AI Agent Development
✅ Prompt Engineering
✅ Document Processing & Knowledge Retrieval
✅ API Integration
✅ AI System Evaluation & Optimization
🎯 Who We’re Looking For
The ideal candidate should have:
3–5 years of relevant industry experience
Strong programming skills in Python
Practical experience building LLM-powered applications
Good understanding of RAG architectures and information retrieval
Experience working with vector databases, embeddings, and semantic search
Familiarity with modern AI frameworks such as LangChain and/or LangGraph
Experience developing or integrating AI agents and intelligent workflows
Strong understanding of document processing and knowledge management
Ability to integrate AI models and applications through APIs
A problem-solving mindset and enthusiasm for working with emerging AI technologies
🌟 Why Join Us?
You’ll have the opportunity to work on real-world Generative AI and knowledge-retrieval applications, experiment with modern AI technologies, and contribute to building intelligent systems that solve practical business problems.
If you’re excited about the future of AI, LLMs, RAG, semantic search, and AI agents, we’d love to hear from you!
📩 Interested candidates can apply by: bdm@design-pods.com
Please mention “AI & Retrieval Engineer” in the subject line/application.
#Hiring #AIJobs #ArtificialIntelligence #AIEngineer #RetrievalEngineer #GenerativeAI #GenAI #LLM #LLMs #RAG #RetrievalAugmentedGeneration #LangChain #LangGraph #AIAgents #Python #MachineLearning #SemanticSearch #VectorDatabase #PromptEngineering #TechJobs #EngineeringJobs #CareerOpportunity #NowHiring
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🌐 www.design-pods.com
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