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Global IT Software Engineer Senior Manager
3 months ago
Have you got the right qualifications and skills for this job Find out below, and hit apply to be considered.
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
- 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.
- 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 with LLM guardrails
- Experience with security related to LLM integration
- Experience in LLM Testing and Evaluation
- LLM Security
- 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.
