We are seeking an experienced Senior AI Engineer to join our Engineering Team. The ideal candidate will have deep expertise in Large Language Models (LLMs), OCR, RetrievalAugmented Generation (RAG), and Agentic AI systems, coupled with strong experience in cloud-native, enterprise-scale environments. This role is pivotal in driving our AI innovation strategy, leading end-to-end solution development, and delivering productiongrade AI systems.
- Lead the full lifecycle of Generative AI solutions , from design and development to deployment encompassing LLM-powered workflows, RAG pipelines, OCR, and Agentic AI systems.
- Architect and implement secure, scalable AI infrastructures using GCP, AWS, or Azure.
- Apply LLMOps best practices, including fine-tuning, advanced prompt engineering, and model optimization, to maximize performance and contextual accuracy.
- Design and maintain APIs and microservices (FastAPI, REST, Spring Boot) to integrate AI capabilities into enterprise systems.
- Build and optimize data pipelines and manage vector databases and Elasticsearch for efficient knowledge retrieval and decision-making.
- Implement MLOps, CI/CD, and DevOps pipelines using Kubernetes, Docker, Jenkins, and Ansible for automated deployment and monitoring.
- Ensure system reliability and observability through logging, monitoring, and infrastructure-as-code practices (e.g., ELK stack).
- Collaborate cross-functionally with product, engineering, and business teams to align AI solutions with organizational goals.
- Mentor and guide junior engineers, setting best practices for scalable, maintainable AI development.
CashFlo, G-502, Lotus Corporate Park, Western Express Hwy, Jogeshwari, Mumbai, Maharashtra, 400065 | [email protected]
2.5+ years of professional software engineering experience focused on Generative AI / LLMbased applications.
Proven experience in developing and deploying enterprise-grade AI systems.
- Degree in Computer Science, Computer Engineering, or a related field.
- Demonstrated expertise in LLMs, LangChain, LangGraph, RAG architectures, OCR, and Agentic AI frameworks.
- Advanced proficiency in Python and modern AI/ML development practices.
- Strong experience with cloud platforms (GCP, AWS, Azure).
- Hands-on expertise in MLOps & DevOps (Kubernetes, Docker, Jenkins, Ansible, Infrastructure-as-Code).
- Proficiency in databases and data engineering (PostgreSQL, SQL, Vector Databases).
- Experience with API frameworks such as FastAPI or Spring Boot.
- Excellent analytical, problem-solving, and communication skills, with a proven ability to lead complex AI initiatives.
- Comfortable working across cross-functional and distributed teams.
- Experience with enterprise AI security, governance, and compliance frameworks.
- Familiarity with frontend integration frameworks (e.g., ReactJS) for AI-enabled applications.
- A passion for innovation and staying current with emerging trends in Generative AI and Agenti systems.
