About the Role
We are looking for an AI Engineer who can effectively leverage modern AI-powered development tools (e.g., GitHub Copilot, Cursor, Claude, etc.) and Agentic AI to accelerate software development while maintaining high standards of code quality, scalability, and security. This role sits at the intersection of software engineering and applied AI / Agentic AI — ideal for engineers who not only write code but also know how to collaborate with AI systems to design, build, test, and optimize applications / build Agentic AI applications.
Key Responsibilities
- AI-Assisted Development
- Use AI coding assistants (e.g., GitHub Copilot, Cursor, Claude) to enhance productivity across the SDLC
- Design effective prompts and workflows for code generation, debugging, refactoring, and documentation
- Evaluate, validate, and harden AI-generated code for production readiness
- Continuously experiment with emerging AI tools and integrate them into development workflows
- Design and development of Agentic AI applications
- Software Engineering
- Design, develop, and maintain scalable backend systems and APIs
- Write clean, maintainable, and testable code in languages such as Python
- Participate in architecture design and technical decision-making
- Implement robust testing strategies (unit, e.g. integration)
- AI/ML Integration
- Integrate LLMs and AI services into applications (e.g., via APIs like OpenAI, Anthropic, etc.)
- Working with Agentic AI frameworks like LangGraph, LangChain, CrewAI etc
- Build AI-powered features such as chatbots, copilots, automation pipelines, and intelligent workflows
- Work with embeddings, vector databases, and retrieval-augmented generation (RAG) patterns
- Optimize prompts, latency, and cost for AI-driven features
- DevOps & Delivery
- Collaborate with DevOps teams for CI/CD pipeline integration
- Ensure code quality through code reviews and automated checks
- Adept working in agile ways of working
- Model Deployment (FastAPI, Hugging face etc) and MLOps knowledge
- Collaboration
- Work closely with product managers, designers, and other engineers. Sometimes in co-sourced client teams as well.
- Mentor junior engineers on AI-assisted development practices
- Contribute to internal best practices and knowledge sharing
Required Skills & Qualifications
Technical Skills
- Strong programming experience in:
- Python
- Experience with modern frameworks:
- Python: FastAPI, Flask, Django
- Good understanding of:
- Data structures, algorithms, and system design
- RESTful APIs and microservices architecture
- Version control (Git) and Cloud platforms (AWS or Azure)
- AI & Tooling
- Hands-on experience with AI coding tools: GitHub Copilot, Cursor, Claude, or similar
- Familiarity with LLM concepts - Prompt engineering & Context Engineering (e.g. OpenAI functions, MCP, Claude etc)
- Experience integrating LLM APIs into applications
- AI Application Development
- Experience with: RAG pipelines, Vector databases, LangChain, LlamaIndex, or similar frameworks.
- Basic understanding of ML concepts.
Professional Skills
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed
- Presence in the external tech community: you willingly share your expertise with others via speaking engagements, contributions to open source, blogs and more
- You’re resilient in ambiguous situations and can approach challenges from multiple perspectives