Chief AI Architect

2 weeks ago

Bengaluru, Karnataka, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Description

We are seeking a seasoned Artificial Intelligence Engineer to craft and implement cutting-edge solutions in Generative AI and Large Language Models.

This role involves spearheading the development of intelligent agents, optimizing prompts, and scaling AI pipelines while mentoring team members and driving innovation in applied AI.

As a key player at the intersection of machine learning, prompt engineering, and production-grade AI orchestration, you will contribute to the deployment of next-gen cognitive systems across telecom and enterprise environments.

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; 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).
About Us

We are committed to creating an inclusive workplace for all. Tanla is an equal opportunity employer championing diversity and growth opportunities for passionate engineers and researchers in a dynamic environment that celebrates experimentation, learning, and innovation.

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