About the Role
We are on the verge of an AI revolution and have a tremendous opportunity to empower our partners and customers to harness the full power of AI responsibly. We offer afully managedAgenticAIteam to accelerate the development, and operations of AI powered intelligent solutions at scale.
We are seeking a Principal Software Engineer with strong coding expertise and solid AI knowledge, who combines deep technical mastery with curiosity and creativity in leveraging AI tools to design, build, and refine next-generation solutions.
This role is ideal for someone with 6+ years coding skills and hands-on experience or strong understanding of generative AI, large language models (LLMs), and Agentic AI who thrives in fast-paced environments and is passionate about solving real-world problems through AI.
Responsibilities
- Leverage AI tools and frameworks not only for automation but as creative partnersexperimenting with prompts, refining outputs, and integrating generative models into the development workflow.
- Demonstrate critical evaluation of AI-generated results, ensuring quality, maintainability, and reliability.
- Design, develop, and maintain production-grade software systems with senior-level code quality and architecture standards.
- Lead the design, development, and deployment ofAI-enabled systems, including LLM-based agents and RAG pipelines.
- Collaborate with cross-functional teams (PMs, data scientists, backend engineers) to define product scenarios and optimize AI workflows.
- Architect scalable solutions using modern cloud platforms (Azure) and MLOps tools (MLFlow, Kubeflow, CI/CD).
- Implement and optimize vector databases (e.g., FAISS, Pinecone, Qdrant) and retrieval systems for enterprise knowledge integration.
- Drive prompt engineering,AI system integration, and performance evaluation strategies.
- Contribute to the team's technical roadmap, mentor junior engineers, and promote best practices in software and AI development.
Qualifications
- Bachelor's Degree in Computer Science or related technical field, and 6+ years technical engineering experience with coding in Python/C#.
- Proven experience withor strong practical understanding of generative AI, LLMs (OpenAI), and RAG architectures.
- Strong programming skills in Python/C# and familiarity with frameworks like LangChain, LangGraph, FastAPI.
- Experience with cloud-native development (Azure AI Studio, Cognitive Search, AKS, Azure ML).
- Solid understanding of backend systems, microservices, and distributed computing.
- Familiarity with MLOps practices and tools for scalable deployment and monitoring.
- Excellent communication skills and a proactive mindset to contribute ideas beyond assigned tasks.
Preferred
- Experience building complex, production-grade systems where AI is part of the solution rather than the entire focus.
- Preferred experience in building production-grade AI agents for enterprise use cases.
- Background in NLP, transformers, and model orchestration.
- Prior contributions to open-source projects or technical publications.
Project Highlights
- Leverage top-tier AI service platforms to gain exposure to cutting-edge AI technologies and application ecosystems worldwide
- Collaborate with global teams and engineers from multiple countries, enhancing international perspective and cross-cultural communication skills
- Outstanding performers will have access to fast-track career development opportunities
