Job Description
About the Role :
We are seeking a skilled Senior AI Engineer to design, build, and scale advanced AI-driven applications and data systems. The role focuses on developing intelligent, production-grade solutions, building reusable components, and driving innovation across data, analytics, and AI platforms.
Key Responsibilities (KRA) :
– Design and develop scalable AI-driven applications and intelligent systems
– Build and optimize retrieval-based pipelines, embedding strategies, and context-aware architectures
– Implement multi-step workflow systems with task orchestration and automation capabilities
– Develop API-driven architectures and integrate AI solutions with enterprise systems
– Ensure high performance, reliability, and scalability of AI systems in production
– Drive data integration with platforms such as data warehouses, analytics systems, and metadata layers
– Establish best practices for code quality, testing, and deployment
– Build and maintain CI/CD pipelines for AI and data-driven applications
– Implement observability frameworks including telemetry, metrics tracking, and performance monitoring
– Continuously evaluate and improve system performance through testing, benchmarking, and iteration
– Contribute to reusable frameworks, accelerators, and platform-level capabilities
– Collaborate with cross-functional teams to align AI solutions with business use cases
Required Skillsets :
– Strong programming expertise in Python, including testing, packaging, and dependency management
– Experience in building AI-driven applications and data-centric systems
– Strong understanding of retrieval systems, embeddings, and vector-based search architectures
– Experience with vector databases and document indexing strategies
– Hands-on experience with modern AI frameworks such as LangChain, LangGraph, or Semantic Kernel
– Strong knowledge of system design, scalable architecture, and engineering best practices
– Experience with REST APIs and microservices-based architectures
– Familiarity with data platforms, data warehouses, and analytics engineering workflows
– Experience with CI/CD pipelines and deployment strategies
– Strong understanding of observability practices including monitoring, logging, and performance tracking
– Experience working on modernization, data migration, or platform engineering initiatives
– Ability to design efficient, maintainable, and forward-compatible systems
Preferred Qualifications :
– 4+ years of professional software engineering experience, with at least 23 years in applied AI / LLM system
– Experience in consulting, platform engineering, or reusable asset development environments
– Exposure to workflow orchestration systems and automation frameworks
– Familiarity with cloud platforms such as AWS, Azure, or GCP
What Were Looking For :
– Candidates with a strong connection to Jaipur (education or residence preferred)
– Strong analytical and problem-solving skills
– Passion for building scalable and impactful AI systems
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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