Design, develop, and deploy robust AI-powered applications, with a focus on agentic and multi-modal AI systems
Architect scalable, production-grade software solutions using modern programming languages (Python preferred) and AI/ML frameworks (e.g., PyTorch)
Lead the end-to-end development lifecycle: from ideation and prototyping to deployment and monitoring in cloud environments (AWS preferred)
Collaborate closely with AI researchers, scientists, software developers, and product managers to translate business needs into technical solutions
Build and optimize data pipelines for training, evaluating, and serving AI models
Implement best practices for code quality, testing, CI/CD, and DevOps within the GenAI team
Mentor and guide junior engineers, fostering a culture of technical excellence, innovation, and continuous learning
Stay current with advancements in AI, agentic systems, cloud engineering, and drive their adoption within the team
Contribute to strategic planning, technical roadmaps, and cross-functional initiatives that align with organizational goals.

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
4+ years of experience in software engineering, with a strong track record of building and deploying AI/ML solutions
Deep proficiency in Python and experience with modern AI/ML frameworks (e.g., PyTorch, TensorFlow)
Interest or experience with agentic AI, retrieval augmented generation, vector databases, and LlamaIndex
Strong proficiency developing and maintaining APIs in Python (FastAPI)
Hands-on experience with deploying and operationalizing backend services in a Kubernetes-based environment
Hands-on experience with model serving in cloud environments, with technologies such as Amazon Sagemaker and Bedrock
Strong understanding of cloud-based architectures and DevOps practices (AWS and GitLab CI/CD experience preferred)
Proven ability to lead complex technical projects and mentor other engineers
Excellent problem-solving, communication, and collaboration skills
Commitment to code quality, security, scalability, and performance
Passion for innovation and staying at the cutting edge of AI technology.

AI Software Engineer

Key skills