05 AI Engineer Engineering · New Delhi →

D2R Technologies Pte Ltd; New Delhi; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

D2R Technologies Pte Ltd in Delhi, India seeks engineers to architect multi-agent AI backends, integrating LangChain and heterogeneous LLMs into production systems. You will own the data pipeline from retrieval to response and build scalable analytics for audits.

You will design data pipelines, optimize PostgreSQL storage and query performance, and implement quality and lineage monitoring while collaborating on FastAPI, Docker, and Redis-backed services.

Qualifications

• Hands-on LangChain experience including LCEL, chains, agents, memory, and tools.
• Experience with 2+ LLM providers (OpenAI, Anthropic, Gemini, Mistral) and model selection trade-offs.
• Strong PostgreSQL skills: schema design, indexing, query optimization.
• Proficient Python with async/await, FastAPI, Docker, and Redis.

Responsibilities

• Design and build scalable data pipelines for audit data.
• Implement real-time analytics for compliance dashboards.
• Optimize data storage and query performance.
• Build data quality and lineage monitoring systems.

Skills

LangChain

LangChain LCEL

LangGraph

LangSmith

Prompt templating

LLM provisioning

Python

FastAPI

Async/await

Redis caching

Tools

PostgreSQL

pgvector

SQLAlchemy async

asyncpg

Docker

Redis

REST APIs

Job description

LangChain · PostgreSQL · Python · Multi-LLM
We are building the next generation of AI-powered products at D2R Tech. We need engineers who can go beyond prompt engineering people who architect multi-agent systems, integrate LLMs intelligently into production backends and own the full AI pipeline from retrieval to response. If you have shipped LangChain applications, designed RAG pipelines or worked across multiple LLM providers (OpenAI, Anthropic, Gemini, Mistral, open-source), this role is for you.

What you will do

Design and build scalable data pipelines for audit data
Implement real-time analytics for compliance dashboards
Optimize data storage and query performance
Build data quality and lineage monitoring systems

Requirements

LangChain & AI Frameworks

• Strong hands-on LangChain experience in LCEL, chains, agents, memory, tools
• LangGraph for stateful multi-agent workflows
• Familiarity with LangSmith or similar observability/tracing tools
• Experience with prompt templating, output parsers, and structured outputs

Multi-LLM Proficiency

• Production experience with 2+ LLM providers: OpenAI GPT-4/4o, Anthropic Claude, Gemini, Mistral
• Understanding of model selection trade-offs like cost, context window, capability
• Implementing LLM fallback, routing, and load balancing strategies
• Open-source model experience (LLaMA, Mistral, Phi) via Ollama or HuggingFace is a plus

PostgreSQL & Data

• Strong PostgreSQL skills like schema design, query optimization, indexing
• pgvector for vector similarity search and embedding storage
• Designing session and conversation memory schemas
• Experience with async DB access (SQLAlchemy async, asyncpg)

Python & Backend

• Proficient Python like async/await, Pydantic, clean architecture
• FastAPI for building AI-backed REST/streaming endpoints
• Docker for containerized development and deployment
• Redis for caching, rate limiting, and episodic session data