Advanced AI Solutions Developer

6 days ago

Bengaluru, Karnataka, India beBeeDeveloper Full time ₹ 12,00,000 - ₹ 24,00,000

Role Overview

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The ideal candidate will design, develop, and deploy advanced AI/ML solutions for global enterprise clients.

This role is suited for individuals with 2-3 years of experience in Python development, LLM integration, and RAG workflows.

Key Responsibilities:">
  • Develop and maintain Python-based applications, AI/ML models, and data processing pipelines for GenAI projects.
  • Implement Large Language Model (LLM) integrations, including Retrieval-Augmented Generation (RAG) pipelines and embedding-based search solutions.
  • Build data ingestion and transformation workflows, working with structured and unstructured datasets.
  • Optimize AI model performance through prompt engineering, fine-tuning, and evaluation techniques.
  • Collaborate closely with senior team members to translate business requirements into technical solutions.
  • Integrate AI solutions with vector databases (e.g., Cosmos DB, Pinecone, ChromaDB) and API-driven applications.
  • (Optional) Contribute to cloud-native deployments and Azure architecture-based solutions, including containerization, CI/CD, and basic MLOps workflows.
  • Document workflows, maintain code repositories, and follow Agile development practices.">
">

Required Skills and Qualifications:

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  • 2-3 years of relevant experience in AI/ML development, preferably in enterprise projects.
  • Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field from a premier engineering institute.
  • Proficiency in Python programming and familiarity with relevant libraries (e.g., LangChain, Hugging Face, Pandas, NumPy).
  • Hands-on experience implementing RAG pipelines, embeddings, and vector search solutions.
  • Understanding of LLM architectures and integration patterns.
  • Working knowledge of SQL and data processing best practices.
  • Basic knowledge of cloud DevOps concepts, preferably with Azure (AWS/GCP experience is also acceptable).">
">

Benefits:

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The successful candidate will have the opportunity to work with a high-performing team, collaborating with both onshore and offshore members.

They will be part of a collaborative environment that values innovation and continuous learning.

">

Others:

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The ideal candidate will be passionate about solving complex problems in real-world business contexts.

They will have a strong understanding of AI/ML concepts and be able to apply them to real-world problems.

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