WHAT YOU'LL DO

We are seeking a highly skilled and experienced full-stack Software Engineer Expert Senior Manager with Gen AI /LLM expertise to join our Gen AI platform team. This role focuses on building and maintaining cloud-native platforms specifically designed for Generative AI and Large Language Model (LLM) development. The ideal candidate will have a strong background in reusable software components, frameworks, SDKs, microservices and APIs, cloud infrastructure, and DevOps/MLOps/LLMOps, with a passion for creating scalable, reliable, and efficient systems.
YOU'RE GOOD AT

• Being a great hands-on engineer passionate of building platform capabilities.

• Performing successfully in a fast-paced, multi-cultural and service-oriented environment

• Verbal and written communication at a business and technical level

• High level of initiative, self-motivation, resourcefulness, and collaboration

• Are passionate, intellectually curious, and enjoy learning new skills and capabilities.

• Building relationships and reliable team player, displaying consideration and respect for others

• Interpreting rules and guidelines flexibly to enhance the business and aligning with BCG's values and culture

• Exhibiting ownership and accountability for the squad deliverables

• Servicing customer teams / platform users with a strong customer centricity

• Attention to detail, well organized, able to set priorities and take decisions

• Being flexible to be available outside of normal business hours for international calls as needed

YOU BRING (EXPERIENCE & QUALIFICATIONS)

• Bachelor's degree in computer science engineering (or equivalent degree or experience)

• Proven Experience in Gen AI, Artificial Intelligence, Machine Learning, or Natural Language Processing

• 12+ years of relevant experience in delivering platform or complex technology solutions with strong technical background, preferably in global organization/ enterprise.

• 2+ years' experience in experimenting and developing with LLM.

• 1+ years of experience developing with LLMs for production use case.

• 8+years of experience in leading Enterprise scale software engineering/ platform engineering teams.

• Passionate expert in Modern Engineering, DevOps practices - Strong understanding of CI/CD, AI/ ML pipelines and automation tools.

Experience & Skills (Mandatory)

• Strong knowledge and experience in Generative AI/ LLM based development.

• Strong knowledge and experience in building conversational agent-based UX.

• Strong knowledge and experience in building SDKs and libraries used by other developers.

• Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex)

• Experience with multi-agent frameworks and an understanding of multi-agent systems and their applications in complex, multi-step problem-solving scenarios.

• Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data - including indexing, search, and advance retrieval patterns.

• Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information retrieval.

• Knowledge and Experience in building knowledge graphs in production.

• Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models.

• Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and all associated GenAI libraries and frameworks.

• Experience with containerization and orchestration technologies (Kubernetes, Docker).

Experience & Skills (Nice to have)

• Experience with LLM guardrails

• Experience with security related to LLM integration

• Experience in LLM Testing and Evaluation

• LLM Security

YOU'LL WORK WITH

• Your Gen AI Platform Engineering chapter in Cloud and Platform Engineering Portfolio

• Product Owners, Chapter Leads and other squad members.

• Agile Coaches and Scrum Leads, that will ensure that you adopt agile principles, mindset and ways of working into your daily routine and who will coach you during the transformation.