We're looking for a Software Engineer with strong backend and cloud expertise to join our AI team. You'll design and build backend systems that integrate Generative AI capabilities, contributing across the stack from API development to cloud deployment.
This role is ideal for someone who thinks in systems, loves solving complex problems, and can go deep into implementation details while keeping the big picture in mind. You'll work closely with our team lead on architectural decisions and take ownership of project delivery.
Key Responsibilities
Systems Design & Development
Design and build complete backend systems APIs, databases, queues, authentication, and integrations
Develop Python services with strong focus on code quality, performance, and reliability
Design solutions that scale across different client environments (cloud and on-prem)
AI Integration
Integrate LLMs (Multi Agents Systems) and GenAI capabilities into production systems
Build orchestration layers and workflows that combine AI with traditional backend logic
Optimize AI system performance, cost, and reliability
Cloud & Infrastructure
Deploy and manage systems across major cloud platforms (GCP, Azure, AWS)
Work with cloud-native services, databases, and infrastructure tools
work with production systems, monitoring, and operational health
Collaboration & Delivery
Communicate with client development teams, DevOps, and business stakeholders
Guide frontend developers on API contracts and integration requirements
Contribute to technical decisions and solution design within the team
Client Engagement & Advisory
Lead technical discussions with clients and translate business needs into technical architectures
Present GenAI solutions, design decisions, and trade-offs to technical and non-technical stakeholders
Provide strategic technical guidance.
Requirements: Must Have
3+ years of relevant software engineering experience
Working knowledge of GenAI concepts and LLM integration
Strong proficiency in Python for backend development
Solid experience designing and building production systems (APIs, Microservices, databases, message queues, authentication)
Hands-on experience with at least one major cloud platform (GCP, Azure, or AWS)
Understanding of software architecture patterns and best practices
Bachelors degree in Computer Science or related field or equivalent practical experience
Advantages
Experience with multiple cloud platforms
Docker and Kubernetes experience
Experience with LLM provider APIs (OpenAI, Anthropic, Google) including function calling and streaming
Data pipeline development experience
What We're Looking For
Strong problem-solving skills ability to model a problem correctly and propose complete solutions
Attention to detail and ability to go deep into implementation
Ability to quickly learn and apply new technologies, especially in the GenAI space
Clear technical communication skills
Comfort working in a fast-paced consulting environment with varying project types.
This position is open to all candidates.