AI Engineering Specialist

2 days ago

Palakkad, Kerala, India beBeeArtificialintelligence Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Ai Engineering Specialist

We are seeking an experienced AI/ML engineer to design and implement cutting-edge solutions in the field of Generative AI and Large Language Models.

This role involves leading the development of intelligent agents, prompt optimization, and scalable AI pipelines, while mentoring team members and driving innovation in applied AI.

Key Responsibilities:

AI/ML Development:

  • Design and develop production-ready AI/ML solutions using LLMs and Generative AI models.
  • Fine-tune and optimize foundation models for domain-specific use cases.
  • Architect and deploy Retrieval-Augmented Generation (RAG) pipelines and multi-agent systems.

Agentic Ai & Prompt Engineering:

  • Build intelligent AI agents using frameworks such as LangChain, CrewAI, AutoGen.
  • Engineer effective prompts for complex language tasks and continuous learning environments.
  • Orchestrate autonomous decision-making pipelines using agent-based design.

Model Lifecycle & MLOps:

  • Implement best practices for responsible AI, model explainability, and fairness.
  • Own model deployment, monitoring, optimization, and cost control.
  • Work with MLOps tools for automation and CI/CD in model delivery pipelines.

Data Engineering & Preparation:

  • Handle advanced data preprocessing, feature engineering, and quality checks.
  • Leverage tools like Pandas, Numpy, Polars for exploration and transformation.
  • 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, Sklearn.
  • LLM ecosystems: LangChain, LlamaIndex, CrewAI.
  • 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.

Benefits:

The ideal candidate will have the opportunity to work on high-impact projects and collaborate with a talented team of professionals.

Other Opportunities:

We offer a dynamic and supportive work environment that fosters growth, creativity, and innovation.

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