Senior AI Engineer in India at Jobgether
Explore Related Opportunities
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Engineer based in India.
This role is a high-impact engineering position focused on designing and building scalable, production-grade AI systems that power enterprise automation at scale. You will work at the intersection of AI, distributed systems, and cloud-native architecture, developing intelligent capabilities that enhance integration, workflow automation, and business decision-making. The position involves hands-on design and development of LLM-powered solutions, RAG pipelines, and AI-driven services within a complex SaaS environment. You will collaborate closely with cross-functional teams to translate AI concepts into reliable, always-on production systems. This is a highly technical role where innovation meets engineering discipline, requiring deep expertise in scalable backend systems and modern AI frameworks. It is ideal for engineers who enjoy building robust AI products that operate in real-world enterprise environments.
- Design, build, and maintain scalable AI-powered backend systems and services within a multi-tenant SaaS architecture.
- Develop and deploy AI solutions leveraging LLMs, RAG pipelines, and frameworks such as LangChain and LlamaIndex.
- Architect and implement robust, production-ready distributed systems ensuring high availability, scalability, and performance.
- Collaborate with product, engineering, and operations teams to define, design, and deliver AI-driven features.
- Build and optimize data pipelines, ETL processes, and integrations supporting AI model training and inference.
- Deploy and manage containerized applications using Docker and Kubernetes in cloud environments (AWS/Azure).
- Work with technologies such as Python, Java, NLP libraries, and modern ML frameworks for AI system development.
- Ensure system reliability, observability, and security across AI services operating at enterprise scale.
- 10+ years of experience building large-scale cloud-based distributed systems.
- Strong expertise in Python and Java for backend and AI system development.
- Hands-on experience with LLMs, RAG architectures, LangChain, and LlamaIndex.
- Proven experience designing and building multi-tenant SaaS platforms.
- Strong understanding of microservices architecture and cloud-native design patterns.
- Experience with NLP tools and frameworks such as Hugging Face, spaCy, or NLTK.
- Solid experience with Kubernetes, Docker, and CI/CD pipelines in production environments.
- Strong knowledge of data pipelines, ETL workflows, and data storage systems (SQL/NoSQL).
- Familiarity with model deployment frameworks and MLOps practices (MLflow, TensorFlow Serving, etc.).
- Strong analytical thinking, debugging skills, and ability to solve complex distributed system challenges.
- Excellent communication skills and ability to work effectively in distributed, remote-first teams.
- Strong mentoring mindset and ability to contribute to team growth and technical excellence.
- Competitive compensation aligned with senior-level AI engineering expertise
- Fully remote opportunity with global collaboration
- Work on cutting-edge AI, LLM, and enterprise automation technologies
- Strong learning culture with continuous exposure to modern AI/ML advancements
- Opportunity to influence architecture and AI strategy in a high-scale SaaS platform
- Flexible, distributed work environment with strong engineering ownership.