Hiring For AI/ML Engineer

Tranzeal; Bengaluru; Hybrid; INR 900,000 - 1,500,000; Full time

Benefits offered by this job

null

Job summary

Tranzeal is seeking an AI/ML Engineer with 5 years of experience to design, develop, and deploy AI/ML solutions in Bengaluru, India. The role requires hands-on work in Agentic AI or LLM/Generative AI, with strong Python and software engineering skills.

You will build AI agents and LLM-based applications, integrate with REST APIs, and deploy on Azure or Databricks, collaborating with cross-functional teams.

Qualifications

• 5+ years in AI/ML or related software roles.
• 3+ years hands-on in Agentic AI or LLM/Generative AI.
• Strong Python development experience.
• Experience with LLMs, RAG, prompt engineering.
• Experience with frameworks: LangGraph, LangChain, CrewAI, AutoGen, PydanticAI.
• Experience with REST APIs and application integration.
• Familiarity with Azure and/or Databricks.
• Experience with Git and CI/CD practices.
• Good communication and problem-solving skills.

Responsibilities

• Design and develop AI/ML solutions and applications using Python.
• Build and integrate LLM/Generative AI applications or AI agent solutions.
• Develop RAG-based applications, prompt workflows, and LLM integrations.
• Build AI agents using LangGraph, LangChain, CrewAI, AutoGen, or PydanticAI.
• Integrate AI solutions with REST APIs, databases, and existing enterprise applications.
• Develop and maintain scalable AI services using FastAPI or similar frameworks.
• Deploy and support AI/ML applications on Azure and/or Databricks.
• Work with development and platform teams on CI/CD, testing, deployment, monitoring and production support.
• Maintain clean, reusable, well-documented code using Git and standard development practices.
• Understand project requirements and deliver practical AI solutions.

Skills

Python development

Agentic AI

LLMs / Generative AI

REST APIs

Git

CI/CD

Communication

Problem-solving

Azure Databricks

CI/CD practices

Education

Bachelor's/Master's in CS/AI/Data Science/Engineering

Tools

LangGraph

LangChain

CrewAI

AutoGen

PydanticAI

FastAPI

Databricks

Job description

AI/ML Engineer Agentic AI/LLM

Experience: 5 Years | Job Type: Full-Time

Role Overview

We are looking for an AI/ML Engineer with 5 years of experience, including 3+ years of hands‑on experience in Agentic AI OR LLM/Generative AI.

The engineer will work with technical and project teams to design, develop, integrate, and deploy AI/ML solutions. The role requires strong Python and software engineering skills, along with practical experience building AI-powered applications.

Key Responsibilities

• Design and develop AI/ML solutions and applications using Python.
• Build and integrate LLM/Generative AI applications or AI agent solutions based on project requirements.
• Develop RAG-based applications, prompt workflows, and LLM integrations where required.
• Build AI agents using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or PydanticAI.
• Integrate AI solutions with REST APIs, databases, and existing enterprise applications.
• Develop and maintain scalable AI services using FastAPI or similar frameworks.
• Deploy and support AI/ML applications on Azure and/or Databricks.
• Work with development and platform teams on CI/CD, testing, deployment, monitoring, and production support.
• Maintain clean, reusable, and well‑documented code using Git and standard development practices.
• Understand project requirements and work with technical teams to deliver practical AI solutions.

Required Skills

• 5 years of experience in AI/ML, Machine Learning, Artificial Intelligence, or related software engineering roles.
• 3+ years of hands‑on experience in Agentic AI OR LLM/Generative AI.
• Strong Python development experience.
• Practical experience with LLMs, RAG, prompt engineering, or AI agents.
• Experience with at least one framework such as LangGraph, LangChain, CrewAI, AutoGen, or PydanticAI.
• Experience with REST APIs and application integration.
• Familiarity with Azure and/or Databricks.
• Experience with Git and CI/CD practices.
• Good communication and problem-solving skills.

Good to Have

• Experience with both Agentic AI and LLM/Generative AI.
• Exposure to MLOps/LLMOps and AI application monitoring.
• Experience with Azure OpenAI, Azure AI Search, vector databases, MLflow, or LangSmith.
• Familiarity with Docker, Kubernetes, or event‑driven architectures.
• Experience using AI‑assisted development tools such as GitHub Copilot, Windsurf, or Codeium.

Education

Bachelor's or master's degree in computer science , AI/ML, Data Science, Engineering, or a related technical field.