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Mid-level generalist title, metro Bengaluru location, strong employer brand and broad data/AI skillset increase candidate competition.
Role requires specialized AI retrieval, knowledge-graph, and observability skills limiting cross-industry transfer.
Multiple mandatory technologies, cloud, containerization, and distributed systems experience make filters strict.
Design and implement core AI platform features including semantic search, retrieval-augmented generation (RAG) systems, and enterprise context graphs that drive intelligent agentic workflows.
Lead technical design and integration of enterprise knowledge graph solutions combining foundation models, ML systems, and scalable data infrastructure.
Develop comprehensive observability solutions using OpenTelemetry for distributed agentic systems and mentor engineers to uphold code quality and platform innovation.
5+ years of software development experience with distributed systems, cloud-native architectures, or data-intensive applications.
Proficiency in C#, Go, Python, and Java; experience with AWS, Docker, Kubernetes, and messaging technologies such as Kafka/NATS.
Bachelor's or Master's Degree in Software Engineering, Computer Science, or equivalent experience considered for exceptional candidates.
Strong understanding of data structures, algorithms, design patterns, databases (relational and/or NoSQL), and excellent debugging skills.
Experience with production semantic search and RAG systems using embeddings and vector databases like Pinecone or S3 Vector.
Proficient with enterprise knowledge graphs and graph databases such as Neo4j or Neptune and familiar with context graphs for enterprise data relationships.
Skilled in using OpenTelemetry for distributed tracing, logging, and metrics, and experienced with AI-driven development tools like Claude or Cursor.