Artificial Intelligence Engineer

Innvonix Tech Solutions; Bhadaj; On-site; INR 1,400,000 - 2,200,000; Full time

Benefits offered by this job

5 Days Working Week

Flexible Job Timings

Training & Development Sessions

Monthly Celebrations

Energetic & Experienced Team

Fun & Learning Environment

Early Promotions & Attractive Salary H

Job summary

Innvonix Tech Solutions in Bhadaj, Gujarat, seeks a software professional with strong Python, 2+ years building LLM-enabled applications, and experience with RAG pipelines. You'll work on AI agents using LangGraph, LangChain, LlamaIndex, and related tooling.

Responsibilities include integrating vector databases (Pinecone, Qdrant, Milvus, Weaviate, Chroma, FAISS), embeddings, semantic search, and deploying via Docker/Kubernetes on cloud platforms.

Qualifications

• Strong Python proficiency and hands-on experience with building applications around LLMs.
• 2+ years of end-to-end development using LLMs and RAG pipelines.
• Experience with AI agents and related tooling (LangGraph, LangChain, LlamaIndex).
• Knowledge of vector databases and embeddings for semantic search.
• Familiarity with containerization and cloud platforms (Docker, Kubernetes, AWS/Azure/GCP).

Skills

Python

LLMs

RAG pipelines

AI Agents

LangGraph

LangChain

LlamaIndex

CrewAI

AutoGen

OpenAI

Claude

Gemini

Llama

Qwen

Mistral

Prompt engineering

tool calling

memory

Education

BE (IT)

B.Sc. IT

BCA

Tools

LangGraph

LangChain

LlamaIndex

CrewAI

AutoGen

Pinecone

Qdrant

Milvus

Weaviate

Chroma

FAISS

Docker

Kubernetes

AWS

Azure

GCP

REST APIs

Job description

Required Technical Skills

• Strong proficiency in Python.
• 2+ years building applications using Large Language Models (LLMs).
• Experience with RAG pipelines.
• AI Agents using LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen (preferred).
• LLMs: OpenAI, Claude, Gemini, Llama, Qwen, Mistral.
• Prompt engineering, tool/function calling, structured outputs, context management, memory

architectures, AI evaluation.

• Vector DBs: Pinecone, Qdrant, Milvus, Weaviate, Chroma, FAISS.
• Embeddings and semantic search.
• Docker, Kubernetes.
• AWS/Azure/GCP.
• REST APIs and microservices.

Nice to Have

• Model Context Protocol (MCP).
• vLLM, Ollama or similar.
• LangSmith, Langfuse, OpenTelemetry.n8n or Temporal.
• Fine-tuning, LoRA, PEFT.
• Self-hosted/open-source LLM infrastructure.

Qualifications & Skills

• BE (IT), B.Sc. IT, BCA or equivalent.
• Excellent written and verbal communication.
• Strong analytical and client requirement understanding.
• Work closely with development teams.
• Flexible and responsible.
• Strong documentation and presentation skills.

Benefits

• 5 Days Working Week
• Flexible Job Timings
• Training & Development Sessions
• Monthly Celebrations
• Energetic & Experienced Team
• Fun & Learning Environment
• Early Promotions & Attractive Salary Hikes