JOBILY AI SUMMARY
What you'll do
- Work closely with client teams to translate business challenges into production-ready AI solutions
- Lead architecture, development, and deployment of end-to-end AI and Generative AI solutions
- Design and implement Retrieval-Augmented Generation, agentic AI, and intelligent automation solutions
- Evaluate, adapt, and optimize LLM-based solutions for quality and performance
- Integrate AI capabilities into enterprise platforms in cloud and on-premises environments
- Build evaluation frameworks and monitor AI solutions for quality, latency, cost, and business impact
- Collaborate with business and technology teams to create scalable AI architectures and applications
- Contribute to Responsible AI, governance, and compliance initiatives
- Mentor junior engineers and promote engineering best practices
- Support client workshops, solution design sessions, and AI transformation initiatives
Key requirements
- 5+ years' experience
- Proficiency in Python and building production-grade AI applications
- Experience with LLM, Generative AI, Retrieval-Augmented Generation, and agentic AI
- Skilled in API design, data pipelines, and cloud platforms such as Azure, AWS, or GCP
- Knowledge of MLOps, CI/CD, containerization, and production deployment
- Understanding of Responsible AI and AI governance
- Experience with Enterprise Integrations and AI engineering best practices
- Computer Science / Engineering / STEMpreferred
About the job
As an Forward Deployed Engineer, you'll work alongside client teams to bridge the gap between cutting - edge AI capabilities and real business outcomes. You will design, build, and deploy production - ready AI and Generative AI solutions, helping organizations accelerate innovation, improve…




