Senior AI | GenAI Engineer (Agentic & Multimodal Systems)

Location: Remote / Hybrid

Experience: 1-2 Years

Employment Type: Full-Time

About the Role

We are building next-generation AI systems that operate in real-world environments — combining agentic reasoning, predictive intelligence, multilingual voice interfaces, and intelligent routing.

We are looking for a Senior AI | GenAI Engineer who can architect and deploy advanced multi-agent systems capable of planning, recommendation, contextual reasoning, and real-time adaptation.

This role goes beyond simple LLM integrations. You will design AI systems that think, decide, allocate, optimize, and interact across modalities.

What You’ll Build

Multi-agent AI systems using modern LLM ecosystems (including Claude)

MCP-based structured context architectures

Intelligent planning and reasoning agents

Real-time routing and decision-support engines

AI-driven recommendation and allocation systems

Multilingual conversational AI (text + voice)

Predictive and optimization models for real-world workflows

Multimodal content intelligence systems (text, image, video, audio)

Key Responsibilities

1️⃣ Agentic Architecture & LLM Systems

Design and implement multi-agent systems with memory, tools, and orchestration

Build structured context pipelines using MCP

Implement reasoning-driven workflows across dynamic environments

Integrate LLMs with external APIs, databases, and live signals

2️⃣ Prediction, Recommendation & Allocation

Develop intelligent matching and ranking systems

Build recommendation engines based on profile, history, and contextual signals

Design predictive models for demand, allocation, and optimization

Implement decision engines that adapt to real-time changes

3️⃣ Real-Time Routing & Navigation Intelligence

Build AI systems that analyze:

Traffic

Weather

Density / crowd signals

Scheduling constraints

Optimize routes and sequencing dynamically

Improve user experience through adaptive planning

4️⃣ Voice & Indian Language AI

Build multilingual conversational systems

Implement STT and TTS pipelines

Ensure fluency and contextual accuracy in Indian languages

Design voice-first AI workflows

5️⃣ AI Assessment & Performance Intelligence

Build scoring and evaluation systems

Design AI-driven performance insights

Develop profile intelligence frameworks

Implement feedback-loop learning systems

6️⃣ Multimodal AI & Content Intelligence

Build pipelines for:

Text generation

Audio intelligence

Video analysis

Image understanding

Implement AI moderation and safety systems

Detect inappropriate or unsafe content across modalities

Technical Requirements

Must Have:

Strong experience with Claude or similar advanced LLM ecosystems

Deep understanding of MCP (Model Context Protocol)

Experience building multi-agent AI systems

Strong Python expertise

Experience with:

RAG architectures

Vector databases

Embeddings

Tool-augmented agents

Experience in:

Recommendation systems

Predictive modeling

Optimization algorithms

Experience building production-grade AI systems

Strong Plus:

Experience with:

Voice AI systems (STT / TTS)

Indian language NLP

Geo-spatial systems

Real-time signal processing

Computer vision pipelines

Background in marketplace or allocation engines

Experience deploying scalable AI infrastructure (AWS/GCP/Azure)

What We’re Looking For

Systems thinker, not just prompt engineer

Strong problem-solving & architecture skills

Ability to move from concept → production

Comfortable working with ambiguity

High ownership mindset

Interested in building applied AI with real-world impact

Why Join

Build advanced agentic AI systems beyond basic chatbots

Work on real-time intelligence + decision-making AI

High autonomy and technical ownership

Opportunity to define scalable AI infrastructure from scratch