Role Overview :

As an AI Engineer at Sysmind, you will be at the forefront of our generative AI initiatives, designing and deploying intelligent systems that solve complex business challenges. You will work closely with cross-functional teams of data scientists, software architects, and product managers to translate high-level business requirements into robust AI models and applications. Your daily focus will involve architecting end-to-end pipelines, refining LLM performance, and ensuring that our AI solutions are scalable, secure, and seamlessly integrated into our clients' existing cloud ecosystems.

Key Responsibilities :

- Architect and implement end-to-end Generative AI solutions, including RAG pipelines and LLM-based applications, to automate complex workflows for our enterprise clients.

- Optimize and fine-tune Large Language Models to improve accuracy, relevance, and performance for domain-specific use cases.

- Develop sophisticated prompt engineering strategies to enhance model output quality and reliability in production environments.

- Collaborate with cloud infrastructure teams to deploy scalable AI services, ensuring high availability and cost-efficiency on platforms like AWS, Azure, or GCP.

- Translate technical AI research and advancements into practical, production-ready features that provide a competitive edge to our clients.

- Mentor junior engineers and contribute to internal knowledge sharing to foster a culture of continuous learning and technical rigor.

Required Skillset:

- Demonstrated expertise in Python development with a deep understanding of machine learning frameworks and libraries such as PyTorch or TensorFlow.

- Proven ability to build and deploy applications using LangChain and vector databases to create advanced RAG architectures.

- Strong grasp of Natural Language Processing (NLP) techniques and experience in managing the full lifecycle of LLM-based projects.

- Ability to communicate complex technical concepts effectively to non-technical stakeholders and collaborate across distributed teams in Bangalore, Hyderabad, or Chennai.

- Solid experience in cloud-native development and deploying AI models within containerized environments.

- A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field, supported by 5 to 8 years of relevant professional experience.

- High degree of adaptability to work in a fast-paced, hybrid environment, balancing independent research with collaborative project delivery.