Senior Software Engineer — Knowledge Graph & Retrieval (Aiva)

Keka Technologies Private Limited; Coimbatore District; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Keka Technologies Private Limited in Coimbatore, Tamilnadu, is hiring Senior Software Engineer - Knowledge Graph & Retrieval (Aiva). This backend role focuses on building the storage and retrieval backbone of Aiva, including the context graph and ingestion pipelines, to support real-time agent interactions.

The candidate should have 6+ years of backend experience with Python/Go/Java, experience with graph databases, and deep knowledge of vector retrieval and data pipelines.

Qualifications

• 6+ years of backend engineering in production at scale.
• Hands-on experience with at least one graph database (Neptune, Neo4j, ArangoDB).
• Practical experience with search/vector retrieval (OpenSearch/Elasticsearch, pgvector).
• Strong data pipelines experience (Kafka/Kinesis) and idempotent processing.
• Solid AWS experience (EKS/Lambda, DynamoDB, S3, IAM) and IaC (Terraform/CDK).
• Rigor in API design, testing, observability, and multi-tenant patterns.

Responsibilities

• Implement the context graph data layer: schema, entity and relationship management, versioning, and time-aware memory records.
• Build streaming and batch ingestion pipelines with idempotency, ordering, and replay support.
• Develop entity resolution and deduplication across channels into a single graph identity.
• Implement the hybrid retrieval service with graph traversal, vector search, and metadata filtering.
• Build and maintain Aiva's public APIs and internal SDKs with robust authentication and multi-tenant scoping.
• Own performance engineering: query profiling, index design, load testing, and capacity/cost tuning.
• Implement data lifecycle mechanics: TTL/decay, archival, right-to-be-forgotten, and audit logging.
• Write tests, runbooks, and operational dashboards; participate in on-call for the platform.

Skills

Backend engineering

Graph databases

Vector search

Data pipelines

AWS

API design

Tools

Neptune

Neo4j

ArangoDB

OpenSearch

pgvector

Terraform/CDK

Job description

Senior Software Engineer - Knowledge Graph & Retrieval (Aiva)

7-10

Coimbatore, Tamilnadu

Full-Time

You will build the storage and retrieval backbone of Aiva: the context graph itself, the ingestion pipelines that populate it, and the query layer that serves it to agents in real time. This is a deep backend role for an engineer who cares about data modeling, query performance, and correctness under scale - and who wants their work to sit on the critical path of every agent interaction across the Aivar platform.

Key Responsibilities

• Implement the context graph data layer: schema, entity and relationship management, versioning, and time-aware (temporal) memory records.
• Build streaming and batch ingestion pipelines that capture events from Convogent conversations, Velogent process runs, and customer systems of record - with idempotency, ordering, and replay support.
• Develop entity resolution and deduplication: matching customers, accounts, and interactions across channels into a single coherent graph identity.
• Implement the hybrid retrieval service - graph traversal, vector k-NN, and metadata filtering - with caching, pagination, and strict latency budgets.
• Build and maintain Aiva's public APIs and internal SDKs (REST/gRPC, and MCP-compatible tool surfaces) with robust authentication, rate limiting, and multi-tenant scoping.
• Own performance engineering: query profiling, index design, load testing, and capacity/cost tuning across graph and vector stores.
• Implement data lifecycle mechanics: TTL and decay policies, archival, tenant-scoped deletion (right-to-be-forgotten), and audit logging in line with AI Gateway governance policies.
• Write thorough tests, runbooks, and operational dashboards; participate in on-call for the platform.

Must-Have Qualifications

• 6+ years of backend engineering in Python, Go, or Java/Kotlin, building services in production at meaningful scale.
• Hands-on production experience with at least one graph database (Neptune, Neo4j, ArangoDB) or a demonstrated ability to model highly connected data in relational/NoSQL stores.
• Practical experience with search/vector retrieval: OpenSearch/Elasticsearch, pgvector, or a dedicated vector database, including index tuning and relevance debugging.
• Strong data pipeline skills: Kafka/Kinesis or equivalent, exactly-once/idempotent processing patterns, and schema evolution.
• Solid AWS experience (EKS or Lambda, DynamoDB, S3, IAM) and infrastructure-as-code (Terraform/CDK).
• Rigor around API design, testing, observability (metrics, tracing), and secure multi-tenant service patterns.

Nice-to-Have

• Experience with entity resolution, identity graphs, CDPs, or master data management.
• Exposure to RAG systems or LLM-serving infrastructure.
• Familiarity with Gremlin/openCypher/SPARQL query languages.
• Experience meeting compliance requirements (data residency, PII handling) in BFSI, healthcare, or telecom.