1. Role Objective To design, develop, integrate, and optimize AI capabilities within the TGIP Agentic AI Orchestration Platform (AAOP) and its Just-in-Time Applications (JITA) ecosystem.

The role focuses on connecting Large Language Models (LLMs), developing intelligent agents, engineering prompts and personas, and ensuring AI-powered applications deliver accurate, reliable, secure, and cost-productive outcomes.

2. Key Responsibilities

A. LLM Integration & Orchestration

- Integrate multiple LLM providers, including OpenAI, Google Gemini, and local/open-source models.
- Develop intelligent model-selection and switching mechanisms based on task complexity, performance, and cost.
- Implement API integrations and manage LLM interactions within AAOP.
- Optimize token consumption, response latency, and inference costs.

B. Prompt Engineering & AI Personas

- Design and maintain system prompts, agent instructions, and AI personas.
- Develop department-specific and task-specific AI behaviors.
- Implement structured outputs and response validation.
- Improve AI response accuracy, consistency, and contextual relevance.

C. Agentic AI Development

- Design AI agents capable of executing business workflows.
- Implement tool calling, function calling, and MCP-based integrations.
- Develop multi-step agent workflows and orchestration logic.
- Integrate AI agents with business applications such as Odoo, Zoho, eBay, and internal enterprise systems.

D. JITA Integration

- Integrate AI capabilities into Genie Chatbot (GCB).
- Support Genie Voice Interface (GVI) for Android and iOS.
- Enable AI-powered widgets, dashboards, and enterprise applications.
- Coordinate with frontend and backend developers for seamless AI integration.

E. AI Performance, Security & Quality

- Evaluate AI responses for accuracy, relevance, and reliability.
- Develop safeguards against hallucinations and prompt injection.
- Ensure secure handling of API credentials and enterprise data.
- Monitor LLM performance, token usage, and operational costs.




- Collaborate with QA/QC teams to validate AI functionality before production deployment.

3. Required Technical Skills

Category

Skills

Programming

Python, JavaScript, REST APIs

AI/LLMs

OpenAI, Gemini, open-source LLMs

Agent Frameworks

Google ADK, LangChain, LangGraph

Prompt Engineering

System prompts, personas, structured outputs

AI Integration

Function calling, MCP, API integration

Model Optimization

Token management, latency, cost optimization

Local AI

Ollama, llama.cpp, local inference

Data

JSON, vector databases, RAG concepts

Development

Git, debugging, API testing

Security

API authentication, secrets management, AI security

4. Expected Deliverables

- Multi-LLM integration: Reliable integration and switching between supported AI models.
- AI persona management: Standardized, reusable prompts and personas across TGIP.
- Agent development: Functional AI agents capable of completing defined business tasks.
- JITA enablement: AI services integrated with GCB, GVI, and other JITA applications.
- Cost optimization: Measurable improvements in token efficiency and cost per completed task.
- Quality assurance: Tested AI workflows with documented accuracy, failures, and limitations.
- Documentation: Technical documentation covering AI integrations, agent configurations, and deployment requirements.

5. Responsibilities should focus on three outcomes: 1. Intelligence: Selecting the appropriate model and designing the prompts, personas, and agent behaviors needed to complete a task.

2. Integration: Connecting AI capabilities to TGIP’s orchestration platform, business tools, and JITA applications.

3. Optimization: Delivering the required accuracy, reliability, and performance at the lowest practical cost per successful task.

Pay: ₹40,000.00 - ₹70,000.00 per month

Benefits

- Health insurance
- Paid sick time
- Paid time off

Ability to commute/relocate:
- Bangalore City, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):
- what's your notice Period
- Current CTC
- Expected CTC

Experience:
- AI Integration: 4 years (Required)

Work Location: In person

📌 AI Integration Engineer (Bengaluru)
🏢 Turnipseed International
📍 Bengaluru