Job Description

Hiring: Database Programmer (Gen AI & MCPs Integration)

Location:

Hyderabad, India

Department:

Engineering / AI Data Infrastructure

Employment Type:

Full-time

Job Summary

We are looking for a highly skilled

Database Programmer

with deep expertise in

Gen AI integrations, Model Context Protocols (MCPs), and AI-ready data architectures

. In this role, you will design and maintain advanced database systems that seamlessly integrate with

LLMs, vector databases, and multi-agent AI frameworks

.

You will work closely with

AI engineers, backend teams, DevOps, and product stakeholders

to build scalable, secure, and compliance-ready data infrastructure powering intelligent automation solutions.

Key Responsibilities

Design, implement, and maintain

AI-integrated database architectures

interacting with MCPs, LLMs, and vector databases Build and optimize

PostgreSQL and NoSQL

data models for real-time AI inference and compliance workflows Architect and maintain

context stores and embedding repositories

for Gen AI automation Develop

ETL and data pipelines

for structured and unstructured financial data used in AI reasoning Collaborate with AI and backend teams to enable

contextual communication via MCP frameworks

Create and maintain

database orchestration scripts

for automation, versioning, and high-performance querying Perform

query optimization, performance tuning, and data integrity audits

Define

data lineage, retention, and governance policies

aligned with NZ & AU accounting compliance Participate in architecture reviews and contribute to

AI data integration and security strategies

Evaluate and recommend

emerging Gen AI data technologies

and vector DB frameworks
Required Qualifications & Skills

Bachelor's or Master's degree in

Computer Science / Information Systems

or related field

5+ years

of experience in database programming, engineering, or architecture Advanced expertise in

PostgreSQL

and strong knowledge of

NoSQL databases

Hands-on experience with

vector databases

(Pinecone, Qdrant, FAISS, Milvus, Weaviate, etc.) Strong understanding of

Model Context Protocols (MCPs)

for multi-model or multi-agent systems Proficiency in

SQL, PL/pgSQL

, and database APIs for AI/LLM workflows Experience with

Gen AI frameworks

(LangChain, LlamaIndex, Semantic Kernel, OpenAI APIs) Strong knowledge of

ETL pipelines, schema design, and data governance

Experience with

cloud-native databases

(AWS RDS/Aurora, Azure Cosmos DB, GCP Spanner) Understanding of

CI/CD pipelines, DevOps practices, and Infrastructure as Code (IaC)

Excellent analytical, documentation, and problem-solving skills
Preferred Skills

Experience with

multi-LLM routing, orchestration, or MoE systems

Knowledge of

financial and accounting data structures

(GL, ledgers, trial balance) Exposure to

NZ & AU accounting compliance

, GDPR, SOC 2 Python-based AI integrations using

FastAPI, SQLAlchemy, LangChain adapters

Job Type: Full-time

Pay: ?402,110.37 - ?1,366,177.38 per year

Work Location: In person