Job Description
About Oliver Wyman
Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 5,000 professionals around the world who work with clients to optimize their business, improve their operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wymans thought leadership is evident in our agenda-setting books, research reports, and articles in the business press. Our clients are the CEOs and executive teams of the top Global 1000 companies.
Visit our website for more details about Oliver Wyman: www.oliverwyman.com
Job specification
Job title:
Mid AI Full Stack Developer (MEAN/MERN)
Department:
OWG Tech
Office/region:
India Gurugram DLF
Reports to:
Application Development Manager
Job Overview:
Oliver Wyman Group is looking for a mid-level full-stack developer with strong MEAN/MERN expertise and strong practical experience building and integrating AI solutions, particularly LLM/SLM-based capabilities, into production applications.
Qualifications
- Bachelors degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field is preferred.
- A strong portfolio of completed projects (especially AI/LLM-based solutions) can be considered as an alternative to formal education.
- Minimum 8 years of professional software development experience with a focus on MERN/MEAN stack technologies.
- Hands-on experience designing, integrating, or fine-tuning Large Language Model (LLM) or Small Language Model (SLM) based solutions (either via APIs or open-source models).
- Demonstrated ability to work collaboratively in cross-functional teams.
- Experience providing guidance and support to junior engineers (e.g. pair programming, code reviews, knowledge sharing).
- Effective communication skills, with the ability to clearly explain technical and AI-related concepts to both technical and non-technical stakeholders.
- Capacity to take ownership of features or workstreams and support team leads in planning and execution.
- Good practical knowledge of cloud solutions (AWS preferred); AWS certification is a plus.
- If no certification is present, achieving the AWS Certified Cloud Practitioner within the first months of work will be a requirement for success.
- AI/ML-related certifications (cloud provider or vendor-neutral) are a plus but not mandatory.
Key Responsibilities
- Design, develop, and maintain robust MEAN/MERN applications in line with the organizations strategic direction.
- Build and integrate LLM/SLM-based features into web applications (e.g., AI assistants, smart search, content generation, automation workflows).
- Implement end-to-end AI functionality: from prompt and context design through to API integration, logging, monitoring, and optimization of model behavior.
- Collaborate with engineers, product owners, and other stakeholders to define and deliver high-quality features.
- Contribute to the mentoring and development of junior staff by providing feedback, guidance, and knowledge sharing.
- Uphold high standards of code quality, testing, documentation, and securityboth for core application code and AI integrations.
- Contribute to the establishment and continual improvement of engineering and AI best practices (coding standards, patterns, guidelines).
- Stay informed about technological trends in web development and AI/LLMs and share relevant insights with the team.
- The work is 100% hands-on and implementation-focused.
Skills and Attributes
- Strong analytical and problem-solving skills, including debugging complex, data-driven, or AI-related issues.
- Ability to work both independently and as part of a team, managing priorities in a fast-paced environment.
- Good communication skills, with the ability to break down complex concepts clearly and concisely.
- Ability and willingness to mentor less experienced colleagues.
- Curiosity and dedication to continuous improvement and learning, particularly in the rapidly evolving AI ecosystem.
- Strong sense of ownership, accountability, and attention to detail.
Technical Skills
- Strong proficiency in:
- HTML, CSS, JavaScript, TypeScript
- Node.js, Express.js
- React and/or Angular
- SQL and NoSQL databases (e.g., MongoDB)
- Experience with AI/LLM/SLM-related work, including:
- Integrating LLMs/SLMs via APIs (e.g. OpenAI, Azure/OpenAI, or other hosted LLM providers) or self-hosted/open-source models.
- Building AI-backed features such as chatbots, copilots, summarization, classification, semantic search, or recommendation flows.
- Working with Retrieval-Augmented Generation (RAG) patterns: vector search, embeddings, and injecting context into prompts.
- Basic prompt engineering: designing prompts, system instructions, and guardrails for reliable responses.
- Familiarity with at least some AI/ML ecosystems (e.g. Python-based toolchains, Hugging Face, LangChain, LlamaIndex, etc.) is a strong plus.
- Experience using GitHub (or similar) for version control, pull requests, and code reviews.
- Practical experience with cloud platforms (AWS preferred), including:
- Hosting Node.js/React/Angular services.
- Deploying AI workloads or integrating with managed AI services.
- Good understanding of system design principles, Agile methodologies, and the software development lifecycle (SDLC).
