Role Overview :
We are seeking a high-caliber Python + Gen AI Engineer to join our innovation team. In this role, you will architect and deploy sophisticated Generative AI solutions that transform complex business challenges into scalable, automated workflows. You will collaborate closely with cross-functional product teams, data scientists, and key business stakeholders to bridge the gap between experimental AI research and production-grade software.
By leveraging cutting-edge LLM frameworks, you will directly influence the digital transformation roadmap, delivering intelligent applications that enhance user experiences and drive measurable operational efficiency for our global clients.
Key Responsibilities :
- Design and implement end-to-end Generative AI pipelines using Python to solve complex data processing and automation requirements for internal and external stakeholders.
- Develop robust RAG architectures and integrate VectorDBs to ensure high-accuracy, context-aware responses from Large Language Models.
- Orchestrate complex AI workflows by utilizing LangChain to streamline interactions between LLMs and external data sources, improving system modularity and performance.
- Manage the full lifecycle of AI models, from initial experimentation and fine-tuning to deployment and monitoring within AWS or Azure cloud environments.
- Implement DevOps best practices for machine learning (MLOps) to ensure continuous integration and delivery of AI services, maintaining high availability and reliability for end-users.
- Collaborate with engineering teams to optimize model latency and cost, ensuring that AI-driven features remain performant and scalable under high traffic loads.
Required Skillset :
- Demonstrated expertise in building production-ready applications using Python, with a deep understanding of asynchronous programming and API development.
- Proven ability to design and maintain RAG-based systems and Vector Databases, ensuring seamless retrieval and generation processes for enterprise-grade applications.
- Strong proficiency in working with OpenAI APIs and open-source LLM frameworks, coupled with the ability to evaluate and select the right model for specific business use cases.
- Hands-on experience with cloud infrastructure on AWS or Azure, specifically in deploying containerized AI services and managing CI/CD pipelines.
- Exceptional communication skills, with the ability to translate complex technical AI concepts into actionable insights for non-technical stakeholders and business leaders.
- A Bachelor's or Master's degree in Computer Science, Data Science, or a related quantitative field, reflecting a strong foundation in AIML principles.
- High level of adaptability and comfort working in a hybrid environment, demonstrating the self-discipline and collaborative spirit required to thrive in a distributed team structure.
Note : Immediate joiners only. Candidates who have completed their notice period or are expected to complete it within the next 10 days are encouraged to apply.
Damco Solutions