Gen AI & Agentic AI Engineer

KloudPortal Technology Solutions Pvt Ltd.; Hyderabad; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

KloudPortal Technology Solutions Pvt Ltd. is hiring a Gen AI & Agentic AI Engineer to own the design and delivery of multi-agent AI systems. Candidates should have extensive experience in ML/AI engineering, particularly with LLMs and agentic frameworks. The role requires a self-starter with a production mindset who can work independently on complex AI features and products.

The ideal candidate will integrate AI systems with enterprise APIs and databases, focusing on the full delivery lifecycle from architecture to deployment.

Qualifications

• 6–7+ years of overall experience in ML/AI engineering.
• At least 2+ years working specifically with LLMs and agentic frameworks in production.
• Proven track record of independently delivered AI products or features.

Responsibilities

• Design and build multi-agent AI systems using platforms like LangGraph and CrewAI.
• Architect and implement RAG pipelines with vector databases.
• Develop and fine-tune LLM-based applications using OpenAI, Claude, or Gemini.
• Implement MLOps/GenAIOps pipelines for AI systems.

Skills

Agentic & Gen AI LLMs & RAG

LangGraph

Python

Engineering MLOps / Cloud

FastAPI

REST APIs

Tools

Docker

Kubernetes

SQL / NoSQL

Job description

Job Title: Gen AI & Agentic AI Engineer

Employment Type: Full-time

Experience: 6–7+ Years

Job Level: Individual Contributor / Owner

Job Summary: This is an individual ownership role — you are expected to design, build, and ship independently with minimal supervision. We are looking for a hands‑on Gen AI & Agentic AI Engineer who can independently own end‑to‑end delivery of intelligent, production‑grade AI systems. The ideal candidate is a builder — someone who takes a problem from ideation to deployment without hand‑holding, with deep practical experience designing multi‑agent architectures, RAG pipelines, and LLM‑powered applications at scale.

Key Responsibilities:

• Design and build multi-agent AI systems using frameworks like LangGraph, CrewAI, AutoGen, or equivalent
• Architect and implement RAG pipelines with vector databases (FAISS, Weaviate, Pinecone, ChromaDB)
• Develop and fine‑tune LLM‑based applications using OpenAI, Claude, Gemini, or open‑source models (Llama, Mistral)
• Build and maintain agentic workflows — tool use, function calling, memory systems, orchestration layers
• Implement MLOps/GenAIOps pipelines: model versioning, monitoring, observability, CI/CD for AI systems
• Integrate AI systems with enterprise APIs, databases, and cloud services (AWS / Azure / GCP)
• Own the full delivery lifecycle: requirements fi architecture fi build fi test fi deploy fi monitor
• Evaluate model performance, handle prompt engineering, and optimize for accuracy, latency, and cost

Required Skills:

• Agentic & Gen AI LLMs & RAG
• LangGraph, LangChain, CrewAI / AutoGen, A2A OpenAI / Claude / Gemini, RAG pipelines, Vector Protocol, Multi‑agent orchestration, Tool use / DBs, Fine‑tuning (LoRA / PEFT), Embeddings, Function calling, Prompt engineering VLLM
• Engineering MLOps / Cloud
• Python, FastAPI, REST APIs, SQL / NoSQL, Docker MLflow, Azure ML / AWS, CI/CD pipelines, Kubernetes, Git workflows Observability & monitoring, Databricks

Nice to Have:

• Experience with real‑time document parsing, OCR, or multimodal models
• Exposure to credit risk, finance, or enterprise SaaS domains
• Published work — GitHub projects, technical blogs, or research papers
• Azure Certifications (Data Scientist Associate, AI Engineer Associate)

What We're Looking For:

• Self‑starter — takes ownership from brief to delivery without follow‑up
• Problem‑first thinker — chooses the right tool for the problem, not the trendiest one
• Production mindset — thinks about reliability, observability, and scale from day one
• Communicator — able to explain technical decisions to non‑technical stakeholders

Minimum Requirements:

• 6–7+ years of overall experience in ML/AI engineering
• At least 2+ years working specifically with LLMs and agentic frameworks in production
• Proven track record of independently delivered AI products or features