Expert Software Engineering Manager – Generative AI and SDK Innovations

2 months ago


London, Greater London, United Kingdom Boston Consulting Group Full time
ROLE OVERVIEW
We are on the lookout for a highly proficient and seasoned Full-Stack Software Engineering Senior Manager with expertise in Generative AI and Large Language Models (LLM) to become a vital part of our Gen AI platform team. This position is centered around the creation and upkeep of cloud-native platforms specifically tailored for Generative AI and LLM development. The ideal candidate will possess a robust background in reusable software components, frameworks, SDKs, microservices, APIs, cloud infrastructure, and DevOps/MLOps/LLMOps, along with a commitment to developing scalable, dependable, and efficient systems.
KEY COMPETENCIES
  • Demonstrating exceptional hands-on engineering skills with a passion for enhancing platform capabilities.
  • Thriving in a dynamic, multicultural, and service-oriented environment.
  • Communicating effectively at both business and technical levels, both verbally and in writing.
  • Exhibiting a high degree of initiative, self-motivation, resourcefulness, and teamwork.
  • Showing enthusiasm for learning new skills and technologies.
  • Building strong relationships and being a reliable team player, showing respect and consideration for colleagues.
  • Flexibly interpreting guidelines to benefit the business while aligning with organizational values and culture.
  • Taking ownership and accountability for team deliverables.
  • Providing exceptional service to customer teams and platform users with a strong customer focus.
  • Maintaining attention to detail, being well-organized, and capable of prioritizing tasks and making decisions.
  • Being adaptable to participate in international calls outside of standard business hours as required.
QUALIFICATIONS & EXPERIENCE
  • Bachelor’s degree in Computer Science Engineering or a related field.
  • Demonstrated experience in Generative AI, Artificial Intelligence, Machine Learning, or Natural Language Processing.
  • Over 12 years of relevant experience in delivering complex technology solutions, ideally within a global organization.
  • At least 2 years of hands-on experience in experimenting and developing with LLMs.
  • A minimum of 1 year of experience in deploying LLMs for production applications.
  • More than 8 years of experience leading enterprise-scale software engineering or platform engineering teams.
  • Deep expertise in Modern Engineering and DevOps practices, with a strong grasp of CI/CD, AI/ML pipelines, and automation tools.

Essential Skills

  • Extensive knowledge and experience in Generative AI and LLM-based development.
  • Proficient in developing conversational agent-based user experiences.
  • Experienced in creating SDKs and libraries for developer use.
  • Familiar with key LLM model APIs (e.g., AWS Bedrock, Azure OpenAI) and LLM frameworks (e.g., LangChain, LlamaIndex).
  • Knowledgeable in multi-agent frameworks and their applications in complex problem-solving scenarios.
  • Expertise in constructing secure data ingestion pipelines for unstructured data, including indexing and advanced retrieval techniques.
  • Proficient in generating and manipulating text embeddings, with an understanding of embedding spaces for semantic search.
  • Experienced in building production-level knowledge graphs.
  • Knowledgeable in RAG concepts and systems, including VectorDBs and semantic search.
  • Proficient in programming languages such as Python, TypeScript, NodeJS, and ReactJS, along with associated GenAI libraries.
  • Experienced with containerization and orchestration technologies like Kubernetes and Docker.

Desirable Skills

  • Familiarity with LLM guardrails and security considerations in LLM integration.
  • Experience in LLM testing and evaluation methodologies.
COLLABORATION
  • Collaborating with your Gen AI Platform Engineering chapter within the Cloud and Platform Engineering Portfolio.
  • Working alongside Product Owners, Chapter Leads, and other squad members.
  • Engaging with Agile Coaches and Scrum Leads to integrate agile principles into daily practices and receive coaching during transformation initiatives.

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