Cutting-Edge AI Solutions Specialist

22 hours ago

Kollam, Kerala, India beBeeDevelopment Full time ₹ 1,00,00,000 - ₹ 2,51,00,000
Job Title:

AI Solutions Developer

Company Overview:

  • We're an equal opportunity employer that champions diversity and celebrates experimentation, learning, and innovation.

About the Role:

We're seeking a skilled AI Solutions Developer to join our team. As an AI Solutions Developer, you'll be responsible for designing and implementing cutting-edge AI solutions in Generative AI and Large Language Models.

Your Key Responsibilities:

  1. AI/ML Development: Design and develop production-ready AI/ml solutions using LLMs and Generative AI models.
  2. Fine-tune and optimize foundation models: For domain-specific use cases.
  3. Architect and deploy Retrieval-Augmented Generation (RAG) pipelines and multi-agent systems:
  4. Agentic AI & Prompt Engineering: Build intelligent AI agents using frameworks such as LangChain, CrewAI, AutoGen.
  5. Engineer effective prompts: For complex language tasks and continuous learning environments.
  6. Orchestrate autonomous decision-making pipelines: Using agent-based design.
  7. Model Lifecycle & MLOps: Implement best practices for responsible AI, model explainability, and fairness.
  8. Own model deployment, monitoring, optimization, and cost control:
  9. Data Engineering & Preparation: Handle advanced data preprocessing, feature engineering, and quality checks.
  10. Leverage tools like Pandas, NumPy, Polars: For exploration and transformation.
  11. Integrate with vector databases: Such as Pinecone, ChromaDB, Weaviate for semantic search applications.

Requirements:

  • 4 – 8 years of experience as an AI/ML engineer or Data Scientist with a proven track record in delivering ML solutions to production.
  • Expertise in ML/DL frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn.
  • LLM ecosystems: LangChain, LLaMA Index, CrewAI.
  • Foundation models, RAG pipelines, and Agentic AI systems.
  • Strong programming in Python (R is a plus).
  • Deep knowledge of ML/DL algorithms and probabilistic modeling.
  • Statistics, feature engineering, and data wrangling.
  • AI governance and ethical development practices.
  • Hands-on experience in Prompt engineering and LLM fine-tuning.
  • Vector databases and memory integration.
  • Model performance tuning, compression, and deployment (ONNX, TorchScript, Quantization).

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