Design, develop, and deploy robust AI‑powered applications with a focus on agentic and multi‑modal AI systems
Architect scalable, production‑grade software using modern programming languages (Python preferred) and AI/ML frameworks such as PyTorch
Deployment and monitoring in cloud environments (AWS preferred)
Collaborate closely with AI researchers, data scientists, software engineers, 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 across the GenAI platform
Stay current with advancements in generative AI, agentic systems, LLMs, and cloud engineering, helping drive adoption of new technologies
Contribute to technical roadmaps, architectural decisions, and cross‑functional initiatives aligned with business goals

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
3+ years of professional software engineering experience, with a proven track record of building and deploying AI/ML‑driven systems
Strong proficiency in Python and hands‑on experience with modern AI/ML frameworks (PyTorch or TensorFlow)
Experience or strong interest in agentic AI, retrieval‑augmented generation (RAG), vector databases, and tools such as LlamaIndex
Strong experience developing and maintaining Python‑based APIs (FastAPI preferred)
Hands‑on experience deploying and operating backend services in Kubernetes‑based environments
Experience with cloud‑based AI platforms, including Amazon SageMaker and Amazon Bedrock
Solid understanding of cloud‑native architectures and DevOps practices (AWS + GitLab CI/CD preferred)
Excellent problem‑solving, communication, and collaboration skills
Strong commitment to code quality, security, scalability, and performance
Passion for innovation and staying current with emerging AI technologies.

Software Engineer, GenAI

Key skills