AI Engineer with Python

Additional Details:

There will be one round onsite interview for this job posting.

Hands on experience with AI is important

Candidate will work Tuesdays - Thursdays in office. Virtual Mondays/Fridays

About the Role

The role focuses on developing AI solutions using **Python** and **JavaScript/TypeScript** with modern agent orchestration frameworks such as **LangGraph** and **LangChain**.

Experience:

5+ years of software development experience.

2+ years Agentic AI Development experience, hands-on experience building AI agents using **LangGraph**, **LangChain**, Semantic Kernel, or similar frameworks.

Strong understanding of prompt engineering, tool calling, agent orchestration, and LLM workflows

Strong proficiency in Python and JavaScript/TypeScript

Good working knowledge of Java and Spring Boot

Strong understanding of microservices architecture, distributed systems, REST APIs, and event-driven design.

Experience integrating AI solutions with enterprise applications.

Responsibilities

Design and develop AI agents using **LangGraph**, **LangChain**, or similar frameworks.

Build multi-agent workflows, tool integrations, and RAG solutions.

Develop AI services and APIs using **Python** and **JavaScript/TypeScript**.

Integrate AI agents with **Java Spring Boot** micro-services through REST APIs and event-driven architectures.

Design prompts, tool-calling workflows, memory, and agent orchestration.

Build reliable, scalable, and production-ready AI applications.

Required Technical Skills

Python (required++)

JavaScript / TypeScript

Java

Spring Boot (optional)

LangGraph (required++)

LangChain (required ++)

OpenAI, Claude, Gemini, or similar LLMs (anyone is ok)

Prompt Engineering

Tool Calling / Function Calling

RAG

Vector Databases (Pinecone, pgvector, Weaviate, ChromaDB, FAISS, or similar)

REST APIs

Docker

Kubernetes

Git

Integrate AI agents with **Java Spring Boot** micro-services through REST APIs and event-driven architectures.

Additional Skills Plus

MCP (Model Context Protocol) or AI tool integration.

Agent evaluation, tracing, and observability.

Experience building production AI applications at scale.

Airline or travel industry experience.