At a glanceSummarised by Seekless from the posting.
Must have10
Experience in Generative AI / LLM-based application development
Strong programming experience in any modern language (e.g., Python, Java, or similar)
Experience integrating APIs and backend services
Understanding of AI concepts such as LLMs, embeddings, and prompt engineering
Experience working with data processing and transformation
Familiarity with cloud-based application development
Strong analytical and problem-solving skills
Good communication and collaboration abilities
Ability to work in Agile environments
Eagerness to learn and adapt to emerging AI technologies
Nice to have5
Experience with GenAI frameworks (LangChain, LlamaIndex, or similar)
Knowledge of Retrieval Augmented Generation (RAG) concepts
Exposure to vector databases (FAISS, Pinecone, Weaviate, etc.)
Understanding of AI deployment concepts and containerization (Docker)
Exposure to enterprise AI or chatbot development
Skills
Python
Java
LangChain
LlamaIndex
FAISS
Pinecone
Weaviate
Docker
Job Overview
We are seeking an AI Engineer to design and implement Generative AI (GenAI) solutions that enhance enterprise applications and business processes. The role focuses on integrating Large Language Models (LLMs), building intelligent automation, and enabling AI-driven capabilities across platforms.
Key Responsibilities
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Design and develop GenAI-based solutions using LLMs for enterprise use cases
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Integrate AI services with existing applications and platforms via APIs
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Develop prompt engineering workflows to improve model accuracy and relevance
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Build AI-powered automation, assistants, and intelligent workflows
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Work with structured and unstructured data for AI-driven solutions
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Collaborate with business and technical teams to define AI requirements
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Support deployment, monitoring, and optimization of AI solutions
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Ensure scalability, performance, and reliability of AI components
Required Skills & Experience
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Experience in Generative AI / LLM-based application development
•
Strong programming experience in any modern language (e.g., Python, Java, or similar)
•
Experience integrating APIs and backend services
•
Understanding of AI concepts such as LLMs, embeddings, and prompt engineering
•
Experience working with data processing and transformation
•
Familiarity with cloud-based application development
Preferred Skills
•
Experience with GenAI frameworks (LangChain, LlamaIndex, or similar)
•
Knowledge of Retrieval Augmented Generation (RAG) concepts
•
Exposure to vector databases (FAISS, Pinecone, Weaviate, etc.)
•
Understanding of AI deployment concepts and containerization (Docker)
•
Exposure to enterprise AI or chatbot development
Soft Skills
•
Strong analytical and problem-solving skills
•
Good communication and collaboration abilities
•
Ability to work in Agile environments
•
Eagerness to learn and adapt to emerging AI technologies