Highlights
Design and deploy intelligent workflows. Build scalable AI systems. Integrate enterprise copilots and chatbots.
Description
Job Summary
pWe are seeking a skilled AI Engineer to design and deliver agentic AI solutions that leverage retrieval-augmented generation (RAG), enterprise copilots, and intelligent automation. This role involves building intelligent workflows from structured and unstructured data into actionable insights.
Responsibilities
- Implement retrieval-augmented generation pipelines for document and knowledge retrieval.
- Design and deploy AI agents and copilots to enable conversational analytics and enterprise automation.
- Create end-to-end AI data pipelines, including ingestion, embeddings, vector search, inference execution, and persistence of results.
- Develop semantic search solutions using vector databases and embeddings.
- Enable natural language interfaces for decision intelligence through AI-powered conversational layers.
- Integrate LLM APIs into enterprise applications with frameworks like LangChain and LlamaIndex.
Required Skills
- SQL and data engineering
- Python programming for AI/agent workflows
- LLM APIs & Prompt Engineering
- Embeddings & Vector Databases
- RAG pipelines
Required Skills Explained
- Strong experience in SQL and data engineering to manage and process large volumes of structured and unstructured data.
- Programming expertise in Python for building AI/agent workflows, ensuring efficient and effective automation.
- Hands-on experience with LLM APIs & Prompt Engineering to create conversational interfaces that understand user queries and generate relevant responses.
- Embeddings & Vector Databases knowledge to store and retrieve data efficiently using advanced indexing techniques.
- Retrieval-Augmented Generation (RAG) expertise to design pipelines for intelligent document retrieval and knowledge extraction.
- Agentic AI architectures experience, including Copilot, Chatbot frameworks, and MCP integrations, to enhance enterprise automation and analytics capabilities.
- Cloud platforms proficiency in AWS / Azure / GCP for scalable deployment of AI systems.
- Experience with Git, CI/CD pipelines, and REST APIs to streamline development and integration processes.
Who is this for
pThis position is ideal for candidates with a strong background in artificial intelligence and data engineering, looking to work on cutting-edge technology projects that transform business operations through AI solutions.
Why This Job is a Good Opportunity
ulliThe opportunity to work on cutting-edge technology projects using the latest AI advancements like RAG and enterprise copilots.liA dynamic environment that encourages innovation and collaboration across various teams, providing ample opportunities for skill development and career growth.liCompetitive compensation packages including performance bonuses and equity options in a rapidly growing tech company.liFlexible working hours and remote work options to maintain a healthy work-life balance while contributing to significant AI projects.
Interview Preparation Tips
- Prepare examples of your previous work with RAG, LLMs, and enterprise copilots to showcase your practical experience in these areas.
- Research the company’s projects and technology stack to demonstrate your alignment with their goals and capabilities.
- Practice coding problems and technical discussions related to embeddings, vector databases, and AI pipelines using Python.
- Prepare to discuss your communication skills and ability to work effectively within cross-functional teams.
Career Growth in This Role
pThe role of an AI Engineer offers significant opportunities for career advancement as you can move into more senior positions such as Lead AI Engineer, Director of AI Solutions, or even transition into consulting or product management roles within the tech industry. With continued success and a strong portfolio of projects, you could also explore specialized niches like AI copilots or agentic AI system development.pAdditionally, your skills in cloud platforms can lead to opportunities for architecting and managing large-scale AI systems across multiple environments, making you highly valuable in the tech market. Continuous learning and engagement with emerging trends in AI will keep you at the forefront of technological advancements and open doors to new career paths.
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Skills
Frequently Asked Questions
What is the role of an AI Engineer?An AI Engineer designs and implements intelligent systems, including retrieval-augmented generation pipelines and conversational analytics.
What technologies are required for this position?Candidates should have expertise in LLM APIs, embeddings, vector databases, and cloud platforms like AWS or Azure.
What kind of experience is preferred?Experience building AI copilots, enterprise chatbots, or agentic AI systems is highly preferred.
