Full-Stack & Agentic AI Engineer

We are looking for a strong

AI Engineer with a solid full-stack software engineering background

to design, develop, and deploy production-grade AI applications and intelligent agentic systems.

The ideal candidate should combine

hands-on full-stack development expertise

with practical experience in

LLMs, RAG, AI agents, orchestration frameworks, APIs, and data pipelines

. Candidates who have

actually built and deployed AI agents in production

will be strongly preferred.

Key Responsibilities

• Design and develop

AI-powered applications and agentic solutions

using modern LLM technologies.

• Build scalable

full-stack applications

, including backend APIs, services, databases, and frontend interfaces.

• Develop

RAG (Retrieval-Augmented Generation)

pipelines using vector databases, embeddings, document processing, and retrieval techniques.

• Build and orchestrate

AI agents

capable of reasoning, tool usage, task execution, and multi-step workflows.

• Work with

LLMs, prompt engineering, context management, function/tool calling, and agent orchestration

.

• Integrate AI models and services through APIs and frameworks such as

LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent

.

• Design and implement

data pipelines

for ingestion, transformation, processing, indexing, and retrieval.

• Develop secure and scalable APIs and microservices to integrate AI capabilities with enterprise applications.
• Deploy and operate AI solutions across

cloud and containerized environments

.

• Optimize AI applications for

performance, scalability, reliability, latency, and cost

.

• Implement evaluation, monitoring, logging, and observability for LLM and agentic applications.
• Collaborate with product, engineering, data, and business teams to translate requirements into production-ready AI solutions.

Required Skills \& Experience

• 5+ years of software/full-stack engineering experience

with strong hands-on development expertise.

• Strong proficiency in

Python and/or Node.js

.

• Solid experience with modern frontend technologies such as

React, Next.js, or equivalent

.

• Strong backend/API development experience using

REST APIs, microservices, and databases

.

• Practical experience building applications using

LLMs and Generative AI

.

• Strong understanding of

RAG, embeddings, vector databases, semantic search, and retrieval pipelines

.

• Experience with

AI agent development and orchestration frameworks

.

• Hands-on experience with

LLM APIs, tool/function calling, prompt engineering, and structured outputs

.

• Experience with

data pipelines, ETL/ELT, data ingestion, and data processing

is highly desirable.

• Experience with

Docker, Kubernetes, CI/CD, Git, and cloud platforms

.

• Strong understanding of software architecture, security, scalability, and production deployment.

Strongly Preferred

*

Proven experience building and deploying AI agents into production.

• Experience with

multi-agent architectures and agentic workflows

.

• Experience with

LangGraph, LangChain, LlamaIndex, Semantic Kernel, or similar frameworks

.

• Experience with

Azure AI, AWS Bedrock, Google Vertex AI, OpenAI, or equivalent platforms

.

• Experience with

Kafka, Spark, Airflow, Databricks, or similar data technologies

.

• Experience implementing

LLM evaluation, observability, guardrails, and AI security

.