Artificial Intelligence Engineer

Nxtwave Disruptive Technologies (Hiring for a Client); Ahmedabad District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Nxtwave Disruptive Technologies in Ahmedabad is seeking a highly motivated AI Engineer with 3-4 years of experience to design, implement, and optimize AI solutions. The role is on-site and focuses on building a foundational stack at the intersection of AI agents, language models, and backend systems.

You will work with LangChain, multi-agent pipelines, vector databases, and secure Python backends, contributing to cutting-edge voice interfaces and regional language support in an ambitious product.

Qualifications

• 3–4 years of engineering experience with LLM primitives, prompts, and agentic workflows.
• Hands-on with retrieval-augmented generation architectures, semantic vector space search, and vector storage engines.
• Strong programming command over Python, backend software development architectures, and scalable API design patterns.
• Solid architectural comprehension of multi-agent execution graphs, state machine orchestration, and persistent agent memory patterns.
• BE/B.Tech or equivalent technical undergraduate degree in Computer Science, Artificial Intelligence, or a highly quantitative engineering field.

Responsibilities

• Design and implement LLM-based features and agent frameworks.
• Build production-grade multi-agent networks and tool-augmented workflows.
• Manage vector databases and model fine-tuning workflows.
• Develop secure, high-performance Python backends and REST APIs.
• Evaluate models with tracing, drift tracking and observability.

Skills

LLM integration

Python

Back-end architecture

API design

Multi-agent orchestration

Prompt engineering

Education

BE/B.Tech in CS/AI

Tools

LangChain

LangGraph

AutoGen

CrewAI

Pinecone

Weaviate

FAISS

Hugging Face Transformers

LangSmith

REST APIs

Job description

Job Overview:

We are looking for a highly motivated AI Engineer with 3-4 years of experience to design, implement, and optimize cutting-edge AI solutions. In this full-time, on-site role based in Ahmedabad, you will be among the first engineers building a foundational stack at the intersection of AI agents, voice interfaces, consumer hardware, regional languages, and system-level app integrations (WhatsApp, UPI, instant commerce). This position is tailored for engineers passionate about large language model (LLM) integration, stateful multi-agent orchestrations, and robust backend engineering.

Key Responsibilities:

• Agent Frameworks & LLM Integration: Architect and deploy advanced LLM-based features using state-of-the-art frameworks such as LangChain, LangGraph, AutoGen, and CrewAI.
• Multi-Agent & RAG Pipeline Engineering: Design production-grade multi-agent networks, autonomous tool-augmented workflows, memory components, and retrieval-augmented generation (RAG) loops.
• Vector Data & Model Architecture: Manage, query, and optimize vector databases (e.g., Pinecone, Weaviate, FAISS) alongside fine-tuning models and embeddings with Hugging Face Transformers.
• Backend & API Development: Build high-performance, scalable Python backends and secure REST APIs to serve as the core orchestration layer for hardware and voice automation pipelines.
• Model Observability & Evaluation: Implement end-to-end evaluation, prompt tracing, drift tracking, and model debugging frameworks using platform toolsets like LangSmith.

Required Skills & Qualifications:

• 3-4 years of functional engineering experience with clear, practical knowledge of LLM primitives, prompt engineering, and agentic workflows.
• Hands-on exposure to retrieval-augmented generation architectures, semantic vector space search, and vector storage engines.
• Strong programming command over Python, backend software development architectures, and scalable API design patterns.
• Solid architectural comprehension of multi-agent execution graphs, state machine orchestration, and persistent agent memory patterns.
• B.E. / B.Tech or equivalent technical undergraduate degree in Computer Science, Artificial Intelligence, or a highly quantitative engineering field.