AI Tech Lead

Reports to: CTO

Number of Direct Reports: N/A

Location: Hyderabad India

Working Shift: UK/Hybrid (2 days a week at office)

The Opportunity

We are at an exciting stage in our AI journey. is embedding advanced AI capabilities across its data and product ecosystem to accelerate innovation and deliver smarter more personalized sourcing experiences.

The AI Technical Lead will serve as the CTOs right hand in designing developing and implementing AI solutions that power next-generation platform. This is a hands-on individual contributor role focused on deep technical expertise architecture and execution not people management. The ideal candidate will bring strong experience with LLM architecture RAG systems and agentic frameworks alongside a solid foundation in machine learning and data engineering.

What You Will Do

AI Architecture & System Design

o Architect prototype and deploy large language model (LLM) and retrieval-augmented generation (RAG) systems that enhance products.

o Design scalable architectures for integrating LLMs into production workflowsbalancing cost latency and performance.

o Develop agentic AI workflows to automate complex tasks such as supplier search enrichment classification and insights generation.

Collaboration & Leadership

o Partner closely with AI Engineers to define implementation details guide development and ensure code quality and performance.

o Collaborate with Product Managers and the CTO to translate business objectives into robust AI technical solutions.

o Establish best practices for model orchestration evaluation and continuous improvement.

Research & Innovation

o Explore emerging frameworks (LangChain LlamaIndex CrewAI AutoGen etc.) and assess their applicability to use cases.

o Prototype benchmark and refine LLM-driven components for semantic search summarization supplier matching and recommendation systems.

o Drive experimentation to evaluate open-source and proprietary LLMs embeddings and vector databases (e.g. Pinecone Chroma Weaviate).

Operational Excellence

o Define observability testing and deployment standards for AI components across environments.

o Work with DevOps and Data Engineering to optimize pipelines for scalability and cost efficiency.

o Contribute to model governance documentation and reproducibility practices.

Security Privacy & Compliance

o Ensure all LLM and RAG implementations follow security best practices related to data confidentiality PII handling and prompt injection prevention.

o Partner with Legal/Security to ensure compliance with SOC 2 GDPR and other relevant standards.

AI Roadmap & Strategy Contribution

o Contribute to the annual AI roadmap by proposing scalable LLM-powered features tools and platform investments.

Evaluate build-vs-buy decisions for vendor AI tools and foundational models.

What You Will Bring

7 years of experience in AI/ML engineering with 3 years of recent focus on LLM NLP or RAG-based architectures.

Proven experience designing and deploying AI systems in production using frameworks like LangChain LlamaIndex Hugging Face or Ray.

Strong understanding of LLM architecture embeddings fine-tuning and inference optimization.

Proficiency in Python and modern ML frameworks (PyTorch TensorFlow scikit-learn).

Experience with vector databases (Pinecone Chroma FAISS Weaviate) and cloud platforms (GCP AWS or Azure).

Familiarity with agentic AI frameworks and multi-agent orchestration concepts.

Working knowledge of MLOps model evaluation and continuous delivery pipelines.

Excellent collaboration and communication skills with the ability to influence technical direction across teams.

Why Join

Collaborate directly with the CTO on shaping and executing the companys AI roadmap.

Work on real-world AI systems powering the leading supplier intelligence platform trusted by global enterprises.

Build and ship production-grade AI features that impact procurement and sourcing outcomes at scale.

Be part of a fast-moving innovation-driven culture that values creativity ownership and results.

Required Experience:

Staff IC