Hiring: Lead, Engineering Excellence Company: Bain & Company Location: Houston, TX Job Posted Time: 2026-09-15 06:32:11 Employment Type: Full-time / Hybrid Target Skills & Keywords : AWS, Azure, Azure AD, CI/CD, FastAPI, GCP, GraphQL, LLM, Microservices, MongoDB, OpenAPI, PostgreSQL, Python, RAG, RESTful, SQL, SQL Server, Swagger, TestNG, Transformers, gRPC About the job Experience: •5+ years of experience with full-stack development •2+ years of experience with micro-service API development (e.g., RESTful, GraphQL, gRPC) with frameworks (e.g. FastAPI, Swagger, OpenAPI etc.) •1+ years of experience with AI tools (Cursor, Claude Code, etc.) •1+ years of experience in consulting •2+ years of experience with SQL or NoSQL databases Required Skills: •Help clients improve AI-assisted or AI-led maturity across people, process, and technology •Help developers improve productivity through adoption of AI tools (Claude Code, Cursor, Codex etc.) •Design, develop, and document AI applications aligned to business outcomes. •Develop prompt engineering strategies, implement retrieval-augmented generation (RAG) pipelines, and optimize model inference latency and cost •Develop and champion modern software development best practices and concepts to technical audience and business stakeholders •Participate within a cross functional product team to develop and deploy production quality code for clients •Participate in the full software development life cycle including architecture design, writing documentation and unit/integration tests, identifying issues and resolution, writing clean code, and conducting code reviews •Provide technical guidance to external clients and internal stakeholders in Bain (80%): Qualifications: •Bachelor’s in computer science or a related technical field; or equivalent work experience •Strong knowledge in development best practices (automated testing frameworks, CI/CD etc.) •Strong computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance •Strong interpersonal and communication skills •Comprehensive expertise in large language models (LLMs) and transformer architectures •Strong knowledge of prompt engineering, structured prompting, and reasoning control techniques •Demonstrated capacity to evaluate model performance beyond accuracy (reasoning quality, hallucination rate, task success) •Understanding of tokenization, context window limits, and cost optimization strategies •Strong Python proficiency for AI development Compensation: •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!