AI Solutions Engineer

1 day ago

Mumbai, India Cap2H Technology Full time
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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