Full-stack Software Engineer Consultant

About the Role

Join our AI & Engineering team transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Work You'll Do

You are a hands-on full-stack developer who builds, tests, and ships reliable software as part of an agile engineering team. You contribute to the design and implementation of cloud-native applications and AI-augmented features, growing your technical depth across the stack. You will work alongside senior engineers to grow your technical skills while making meaningful contributions to our projects.

Key Responsibilities

• Design, build, test, and maintain scalable full-stack features across front-end and back-end systems, following project engineering standards and conventions.
• Write clean, well-documented, and maintainable code; participate in code reviews and contribute constructive technical feedback to peers.
• Develop and maintain back-end microservices and scalable APIs; implement CI/CD pipelines, containerized workloads, and infrastructure-as-code as part of client engagements.
• Integrate LLM APIs (OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI) to build intelligent, context-aware features within client applications.
• Implement agentic AI patterns - tool-calling agents, RAG pipelines, prompt chaining, and memory management - within full-stack applications under senior engineer guidance.
• Collaborate on prototyping and iterating AI-powered workflows and automation solutions, contributing to the practice's growing AI delivery capability.
• Participate actively in code reviews, providing and incorporating constructive feedback.
• Collaborate with product managers, designers, and fellow engineers to translate requirements into technical solutions.
• Identify, diagnose, and resolve bugs and performance issues in development and production environments.
• Assist in breaking down technical requirements into well-scoped tasks and estimates.
• Support junior engineers through pairing, knowledge sharing, and informal mentorship.
• Write and maintain unit, integration, and end-to-end tests to ensure software reliability.
• Participate in on-call rotations and contribute to incident response and post-mortems.

Qualifications

• 6+ years of professional software engineering experience with a focus on full-stack development.
• 4+ years of full system lifecycle development experience, from requirements through production deployment.
• 4+ years of hands-on full-stack experience with proficiency in at least one back-end language (Python, Java, .NET, Go, or Node.js) and a modern front-end framework (React, Angular, or Vue.js).
• 4+ years in a client-facing development role, or a demonstrated ability to engage professionally with external stakeholders.
• 3+ years building and consuming RESTful APIs and/or GraphQL services in a professional, team-based delivery environment.
• Solid understanding of software engineering fundamentals including data structures, algorithms, and OOP principles.
• Familiarity with relational or NoSQL databases and comfort writing efficient queries.
• Working knowledge of version control systems (Git) and collaborative development workflows.
• Understanding of testing practices and experience writing automated test suites.
• Strong verbal and written communication skills with the ability to work effectively in a team environment.
• Working knowledge of at least one major cloud platform (AWS, Azure, or GCP), including deployment, managed services, and basic infrastructure configuration.
• Hands-on experience integrating at least one LLM platform or generative AI API (OpenAI, Azure OpenAI, Anthropic, Google Vertex AI, or equivalent).
• Bachelor's degree in Computer Science, Engineering, or a related discipline - or equivalent professional experience.
• Ability to travel up to 50% based on the work you do and the clients and industries/sectors you serve.

Preferred Background

• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience working in an Agile/Scrum environment using tools like Jira or Linear.
• Contributions to open-source projects or a personal portfolio demonstrating technical initiative.
• Interest in mentoring others and taking on increased technical responsibility over time.
• Industry-recognized cloud certifications (AWS Certified Developer, Azure Developer Associate, GCP Professional Developer, or equivalent).

Key skills/competency

• Full-Stack Development
• Software Engineering
• Cloud-Native Applications
• AI Integration
• LLM APIs
• Microservices
• API Development
• CI/CD
• DevOps
• Agile Methodologies