Global IT Software Engineer Senior Manager (Gen AI / LLM)

Key Skills

Aartificial intelligence, AWS, Azure, DevOps, Docker, Generative AI, Java Programming, Kubernetes-K8s, Large Language Models - LLMs, Leadership Skill, Machine learning techniques, Natural Language Processing (NLP), Node.js, Python Programming, React.js, TypeScript

Job Description

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, 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 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.