Python + Gen AI Engineer
Overview:
In this role, you will advance generative AI capabilities by designing and deploying state-of-the-art models and agentic systems. You will work on large-language and image-generation models, integrating them into scalable microservice architectures. Collaborating with cross-functional teams, you will shape tooling, memory, planning, and tool-use for autonomous agents. This position offers opportunities to optimize prompts, fine-tune models, and deliver production-ready AI applications that solve complex problems at scale.
Responsibilities:
- Develop and deploy generative AI models and agentic stacks (planning, memory, tool usage)
- Design and optimize architectures for autonomous agents and tool integration
- Fine-tune models and implement prompt engineering practices
- Maintain and evolve microservice-based AI applications and CI/CD pipelines
- Collaborate with data governance, data pipelines, and data architectures in AI projects
- Leverage tools and frameworks (e.g., LangChain) to build end-to-end AI solutions
- Work with version control and collaboration tools (GitHub, Confluence, JIRA) to manage development lifecycle
Key requirements:
- 5+ years hands-on Python experience 2-5 years relevant experience in ML/AI and generative models
- Proficient with Generative AI models (LLMs, image generation)
- Proven experience with agentic AI stacks and autonomous-agent frameworks
- Hands-on in prompt engineering, fine-tuning, and deployment of Generative AI apps
- Experience with GitHub, Confluence, JIRA, Jenkins, CI/CD tooling
- Experience in large microservice-based architectures
- Understanding of data architectures, data pipelines, and data governance in AIStrong analytical and problem-solving abilities
- Excellent verbal and written communication skillsstrong communicationproblem-solvingability to explain complex concepts to technical and non-technical audiences
- LangChainagent developmenttools integration for AI