AI Solutions Engineer
3 weeks ago
Experience Level: 5-7 years total in AI/ML development, with 2-3 years in Generative AI and RAG solution development
Education: Bachelor’s degree in AI, Data Science, Software Development, IT, or a related field (Master’s preferred)
About Us
We are an ambitious startup shaping the future of AI-driven enterprise solutions. By combining cutting-edge technology with practical applications, we empower businesses to achieve greater efficiency and innovation. Join us to solve challenging problems, work on state-of-the-art projects, and make an impact from day one
Role Overview
As a Generative AI and RAG Solution Developer, you will play a pivotal role in designing and developing innovative solutions centered around document vector search and retrieval-augmented generation (RAG). Your work will involve creating intelligent, scalable, and secure AI systems that integrate seamlessly with enterprise workflows, with a special focus on HR/talent acquisition domains.
You will collaborate with a cross-functional team to bring our vision of AI-powered solutions to life, exploring the latest advancements in LangChain, LlamaIndex, and state-of-the-art language models.
Responsibilities
Solution Development
- Develop document vector search and RAG assistant tools:
- Extract key-value pairs from documents.
- Generate, store, and manage vector embeddings in vector databases.
- Perform efficient vector search and retrieval of documents.
- Build RAG models to generate responses from retrieved documents using LLMs.
- Build and optimize RAG pipelines using tools like LangChain and LlamaIndex, focusing on:
- Document parsing, text chunking strategies, and efficient text processing.
- Select and deploy vector embedding models (API vs. local deployment).
- Enhance retrieval processes with hybrid search and custom similarity scoring.
Technology Leadership
- Implement robust and scalable vector search pipelines.
- Optimize vector distance metrics and dimensionality for use cases.
- Choose, fine-tune, and deploy LLMs for RAG workflows, considering hardware implications (CPU vs GPU).
Collaboration and Innovation
- Collaborate with HR and cloud teams to develop AI solutions tailored for talent acquisition workflows.
- Integrate AI systems with APIs, serverless functions, and enterprise HR tools.
- Optimize and secure cloud infrastructure for development and production deployments.
Skills and Qualifications
Core Skills
- Programming Languages: Python (advanced proficiency).
- Data Science Expertise:
- Generative AI, Retrieval Augmented Generation (RAG), NLP, deep learning, machine learning.
- Solid foundation in mathematics, statistics, and vector algebra.
- Libraries & Frameworks: LangChain, LlamaIndex, Transformers, SpaCy, TensorFlow, PyTorch, Keras, NLTK, Scikit-Learn, Streamlit.
- Databases: Chroma DB, PineCone, PostgreSQL, MySQL, Oracle Database 23c.
- Cloud Platforms: AWS, Azure, Oracle Cloud Infrastructure (OCI).
Preferred Additional Experience
- HR/Talent Acquisition domain expertise (HR workflows, enterprise applications).
- Integration expertise with APIs and serverless architectures.
- Cloud administration, including creating secure landing zones and optimizing resource utilization.
- Knowledge of AI agents and AI-driven robotic process automation (RPA).
- Experience with CI/CD tools like Docker, Kubernetes, Flask, FastAPI, GitHub, and AI/MLOps practices.
- Hands-on with enhancing AI retrieval using hybrid search and advanced similarity techniques.
What We Offer
- Competitive salary and performance bonuses.
- Opportunity to work on groundbreaking AI solutions with global impact.
- A hybrid work model for flexibility and collaboration.
- A culture of innovation, learning, and growth.
- Access to cutting-edge tools, frameworks, and cloud infrastructure.
Application Process
Ready to revolutionize enterprise workflows with AI-driven solutions? Apply now by submitting your CV and a brief cover letter highlighting your experience in Generative AI and RAG solution development.
Join us in shaping the future of AI-powered enterprises
#GenAI #LLM #RAG #OpenAI #NLP #AISearch #VectorSearch #SemanticSearch #HRTech #SaaS #StartUp #AISolutionsEngineer #AIAgent
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