AI Engineer (Junior)

GyanSys Inc.; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

GyanSys Inc. is seeking an AI Engineer to build production-grade agentic AI systems for enterprise use. You will develop multi-agent workflows, integrate large language models, and ensure reliable, secure deployment in production environments.

You will work with LangGraph, LangChain, and multiple LLMs, design REST/WebSocket services, and collaborate with platform, security, and product teams to deliver scalable AI solutions across industries.

Qualifications

• 3-5 years in Machine Learning, AI, or a related field with production systems experience.
• At least 1 year building custom Agentic AI applications.
• Strong Python skills and modern development practices.
• Hands-on experience with LLMs and prompt engineering across the full application lifecycle.
• Experience building AI agents with LangGraph.
• Familiarity with enterprise cloud AI platforms and cloud-native deployment.
• Knowledge of REST APIs, WebSockets, and event-driven systems.
• CI/CD tooling (Jenkins) and Git version control.
• Fluency with AI-augmented development tools for rapid prototyping.
• Clear written and verbal communication; ability to work independently in cross-functional teams.
• Data layer curation and integration with source systems for agentic applications.

Responsibilities

• Build AI agents and multi-agent systems using LangGraph and LangChain.
• Develop and tune prompt workflows across LLMs (GPT, Claude, LLaMA).
• Create REST APIs, WebSocket services, and event-driven pipelines for real-time AI services.
• Automate testing and releases via Jenkins CI/CD; maintain code and documentation with Git/Jira/Confluence.
• Coordinate with platform, security, and product teams for scalable deployments.

Skills

Python

LLMs

LangGraph

LangChain

Agentic AI

REST APIs

WebSockets

Jenkins

Git

AI prototyping

Communication

Data integration

Cloud platforms

Tools

Databricks

Azure AI Foundry

AWS Bedrock

Google Gemini Enterprise

Job description

GyanSys is a global mid-tier systems integrator with over 20 years of experience, headquartered in the US. With 3,000+ employees across 12 countries, we serve 160+ enterprise customers across Manufacturing, Industrial, Consumer, Life Sciences, and High-Tech industries.

We specialize in Digital Transformation through SAP, Salesforce, Databricks, Snowflake, Application Modernization, and AI-driven solutions.

We are seeking a AI Engineer to build and deliver production-grade agentic AI systems for enterprise use. The engineer will develop multi-agent workflows, integrate large language models into existing enterprise systems, and support the deployment and automation needed to run them reliably and securely in production.

This is a hands‑on engineering engagement. The work centers on building agents, orchestration logic, and supporting infrastructure that performs under real production workloads, not on proof‑of‑concept or advisory work.

Scope of Work

• Build AI agents and multi‑agent systems using frameworks with LangGraph and LangChain tools.
• Develop and tune prompt engineering workflows across multiple LLMs (GPT, Claude, LLaMA), balancing reliability, cost, and latency.
• Develop REST APIs, WebSocket services, and event‑driven pipelines for real‑time AI services that remain stable under load.
• Automate testing and releases through Jenkins CI/CD, and maintain code and documentation standards using Git, Jira, and Confluence.
• Deployment of AI Application in enterprise adhering to best practices
• Use AI-augmented development tools such as Claude Code and Codex to accelerate delivery.
• Coordinate with platform, security, and product teams to deliver scalable, secure deployments.

Must-Have Skills

• 3-5 years in Machine Learning, AI, or a related field, with production systems delivered.
• At least 1 year building custom Agentic AI applications
• Strong Python skills and sound modern development practices.
• Hands‑on experience with LLMs and prompt engineering across the full application lifecycle.
• Demonstrated experience building AI agents with LangGraph.
• Familiarity with at least one enterprise cloud AI platform for building and deploying agentic applications, such as Azure AI Foundry, AWS Bedrock, or Google Gemini Enterprise, including cloud‑native deployment practices.
• Working knowledge of REST APIs, WebSockets, and event‑driven systems.
• Proficiency with CI/CD tooling (Jenkins) and version control (Git).
• Fluency with AI-augmented development tools for rapid prototyping.
• Strong written and verbal communication, an analytical approach to problem‑solving, and the ability to work independently within a cross‑functional team.
• Data layer curations and integration with source system for agentic application

Good-to-Have Skills

• Familiarity with Databricks.
• Exposure to MLOps/LLMOps workflows and application monitoring.
• Knowledge of enterprise security, compliance, and governance for AI systems.
• Familiarity with code and model lifecycle management practices.