Description
We are seeking an Engineering Manager to lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions.
The successful candidate will have experience with:
- Strong understanding of Language Models (LLMs), transformers, agentic frameworks, vector stores, and search algorithms.
- Strong proficiency in Python around Agentic, GenAI and frameworks i.e. (LangChain, LangGraph, CrewAI etc.).
- Hands-on experience with AWS ML ecosystem (Bedrock, SageMaker, Lambda, API Gateway).
- Good engineering experience with high-performance, large-scale AI/ML systems.
- Deep understanding of Prompt engineering and Prompt management.
- Experience with Database technologies such as SQL, NoSQL and vector databases (e.g., DynamoDB, PGVector, CromaDB, FAISS etc.).
- Familiarity with one of the major cloud platforms including AWS, GCP or Azure.
Additional relevant skills given below are highly valued:
- Professional experience in financial services and technology firms.
- Knowledge of REST APIs, JSON/XML, CI/CD tools (Jenkins), and cloud-native architectures.
- Demonstrated ability to structure and lead.
- Strong communication and stakeholder management skills.
- Motivated quick learner with the ability to learn new skills.
- Ability to lead technical teams and mentor junior developers.
- Bachelor’s degree in computer science, Information Technology or Engineering is required.
As an Engineering Manager, you will be an innovative Generative AI Engineer to drive adoption of Large Language Models (LLMs) and agentic flows, focusing on process efficiencies, automation, simplification and risk reduction across enterprise business solutions.