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About the Role

Bain’s Vector leads the firm’s software development efforts and defines engineering standards for Bain globally. You will solve cutting-edge problems for a variety of industries as a software engineer specializing in strategy for Engineering Transformations. As a member of a diverse engineering team, you will participate in the full software development life cycle. You will collaborate with diverse product and engineering teams to help engineering organizations transform across people, process, and technology to support business needs for both consumer and enterprise environments.

Responsibilities

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
Drive AI-led or AI-assisted transformation to improve productivity and quality across the PDLC
Explore new innovations in AI and software development to further improve productivity and modularity.
Take an active role in ideation processes, alongside consulting and client colleagues, to bring innovative solutions to problems
Work in a collaborative manner with clients’ technical teams to define technical approaches to implementing designed solutions, including new product architecture, data flows and integration strategies, build processes, etc
Translate business requirements into technical requirements and implementation details
Build complex systems that are extensible, easy to understand, and self-maintaining
Integration with third-party systems to enable use cases that power business solutions
Work closely with product and design to create modern AI systems.
Build end-to-end AI agent systems, including reasoning loops, planning mechanisms, and tool orchestration frameworks
Develop and optimize LLM-powered applications using advanced prompting, structured outputs, and model routing strategies
Design and implement multi-agent architectures (planner, executor, verifier, critic patterns)
Build scalable retrieval-augmented generation (RAG) pipelines with optimized embedding and retrieval strategies

Requirements

Bachelor’s in computer science or a related technical field; or equivalent work experience
Experience in an engineering role at a start-up or fast-growing tech company, with a strong track record of increasing mastery and responsibility
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.)
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
Deep understanding of large language models (LLMs) and transformer architectures
Strong knowledge of prompt engineering, structured prompting, and reasoning control techniques
Experience designing and deploying retrieval-augmented generation (RAG) systems
Ability 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
Master’s in computer science or a related technical field
1+ years of experience in consulting
2+ years of experience with SQL or NoSQL databases
Experience with PostgreSQL, MongoDB, or SQL Server
Experience working on public cloud environments (AWS, GCP, or Azure), and associated deep understanding of failover, high-availability, and high scalability
Ability to explain and discuss technical concepts and methodologies with colleagues and clients from other disciplines

Skills

Full-stack development
Micro-service API development
RESTful
GraphQL
gRPC
FastAPI
Swagger
OpenAPI
AI tools
Automated testing frameworks
CI/CD
Data structures
Algorithms
Object-oriented programming
Performance complexity
Computer architecture
Large language models (LLMs)
Transformer architectures
Prompt engineering
Structured prompting
Reasoning control techniques
Retrieval-augmented generation (RAG) systems
Model performance evaluation
Tokenization
Context window limits
Cost optimization strategies
Python
Consulting
SQL
NoSQL databases
PostgreSQL
MongoDB
SQL Server
AWS
GCP
Azure

Location

Atlanta
Austin
Boston
Chicago
Dallas
Houston
Los Angeles
New York
San Francisco
Seattle
Silicon Valley
Washington DC

Work Type

Hybrid
Permanent Full-Time

Experience Level

5+ years of experience with full-stack development
2+ years of experience with micro-service API development
1+ years of experience with AI tools
1+ years of experience in consulting
2+ years of experience with SQL or NoSQL databases

Education Level

Bachelor’s in computer science or a related technical field; or equivalent work experience
Master’s in computer science or a related technical field

Salary/Compensations

In Atlanta, Boston, Texas, and Chicago the good-faith, reasonable annualized full-time salary range for this role is $179,875
In California, New York, Washington, DC and Washington State, the good-faith, reasonable annualized full-time salary for this role is $203,925

Benefits

Annual discretionary performance bonus
401(k) plan with an annual employer contribution based on years of service
Bain’s best in class benefits package
4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date
Full premium coverage for medical, dental, and vision
Generous paid time off, including parental leave, sick leave and paid holidays
Fully vested 401(k) company contribution
Paid Life and Long-Term Disability insurance

About the Company

We are proud to be consistently recognized as one of the world’s best places to work.
We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times.
Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance.
They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment.
We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.