Data Science Engineer - IV [LLM]

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 (LLMs). 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.

You will work at the intersection of machine learning, prompt engineering, and production-grade AI orchestration, contributing 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.

What You’ll Bring:

• 7–11 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)

Why Join Us?

• Impactful Work: Play a key role in building scalable AI solutions that power real-time telecom, messaging, and enterprise platforms.

• Tremendous Growth Opportunities: Be part of a dynamic, fast-scaling AI team solving real-world problems.

• Innovative Environment: Collaborate with passionate engineers and researchers in a culture that celebrates experimentation, learning, and innovation.

Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive workplace for all.