Agentic AI Engineer (Generative AI & LLMs) | Things Alive Solutions Pvt. Ltd. | Bangalore, India

Tech Junction Ltd; Bengaluru; On-site; INR 500,000 - 900,000; Full time

Job summary

Things Alive Solutions Pvt. Ltd. in Bengaluru, India, is hiring an Agentic AI Engineer (entry-level) to design and deploy AI-powered applications using Generative AI, LLMs, and autonomous agents.

You will build RAG pipelines and AI agent workflows with LangChain/LangGraph, and integrate AI services with enterprise systems. Ideal candidates have a CS/AI/Data Science background, strong Python skills, and familiarity with FastAPI, REST APIs, and Git.

Qualifications

• Bachelor's or Master's degree in CS/AI/Data Science or related field.
• 0-1 year of experience in AI, ML, Generative AI, or software development.
• Strong programming skills in Python.
• Working knowledge of SQL and databases.
• Understanding of Generative AI concepts and LLMs.
• Familiarity with RAG concepts and AI workflows.
• Experience with REST APIs and AI orchestration tools.

Responsibilities

• Build AI-powered applications using LLMs.
• Design and implement RAG solutions for knowledge-driven apps.
• Develop AI agent workflows with LangChain or LangGraph.
• Integrate AI services with enterprise platforms and external APIs.
• Develop and deploy RESTful APIs using FastAPI.
• Perform prompt engineering and optimize AI responses.
• Evaluate and fine-tune AI system performance.
• Collaborate with product and engineering teams on AI solutions.
• Use Git for version control and collaboratve workflows.
• Assist in deploying AI apps in dev and prod environments.
• Research trends in Generative AI, agentic AI, and LLM ecosystems.
• Document architectures, workflows, and development processes.

Skills

Python

SQL

Generative AI

LLMs

Prompt Engineering

RAG

LangChain/LangGraph

FastAPI

Git

Docker basics

Teamwork & communication

Education

Bachelor's or Master's degree in CS/AI/Data Science

Tools

LangChain

LangGraph

FastAPI

Git

Docker

Pinecone/Weaviate

Job description

Job Title: Agentic AI Engineer (Generative AI & LLMs) | Things Alive Solutions Pvt. Ltd. | Bangalore, India

Recruiting Company: Things Alive Solutions Pvt. Ltd.

Job Location: Bangalore, India

Job Type: Full-Time

Experience Required: 0-1 Year

Education: Bachelor’s or Master’s Degree in Computer Science, Artificial Intelligence, Data Science, or related fields

Career Level: Entry-Level / Early Career AI Professional

Position Summary

Things Alive Solutions Pvt. Ltd. is seeking a motivated and innovative Agentic AI Engineer to join its growing Artificial Intelligence team. This is an exciting opportunity for fresh graduates and early-career professionals to work with cutting-edge Generative AI technologies, Large Language Models (LLMs), AI agents, and Retrieval-Augmented Generation (RAG) systems while building real-world AI-powered applications.

Detailed Job Description

As an Agentic AI Engineer, you will contribute to the design, development, and deployment of intelligent AI solutions that leverage the latest advancements in Generative AI and autonomous agent technologies. You will work closely with experienced engineers and cross-functional teams to build AI-powered applications, implement advanced RAG architectures, develop AI agent workflows, and integrate AI services with enterprise platforms. The role offers hands-on exposure to modern AI frameworks, cloud-native development practices, and production-grade AI deployments. Ideal candidates will possess strong programming fundamentals, a passion for emerging technologies, and a desire to solve complex business challenges using artificial intelligence. This position presents an excellent opportunity to accelerate your career in one of the fastest-growing technology domains.

Key Responsibilities

• Build AI-powered applications using Large Language Models (LLMs).
• Design and implement Retrieval-Augmented Generation (RAG) solutions for knowledge-driven applications.
• Develop intelligent AI agent workflows using LangChain, LangGraph, or similar frameworks.
• Integrate AI applications with external APIs, enterprise systems, and third-party platforms.
• Develop and deploy RESTful APIs using FastAPI.
• Perform prompt engineering, testing, and optimization to improve AI response quality.
• Evaluate, benchmark, and fine-tune AI system performance.
• Collaborate with product, engineering, and business teams to deliver innovative AI solutions.
• Implement version control and development best practices using Git.
• Assist in deploying and maintaining AI applications in development and production environments.
• Research emerging trends and advancements in Generative AI, Agentic AI, and LLM ecosystems.
• Document technical solutions, workflows, and development processes.

Required Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline.
• 0-1 year of experience in AI, Machine Learning, Generative AI, or software development.
• Strong programming skills in Python.
• Working knowledge of SQL and database fundamentals.
• Understanding of Generative AI concepts and Large Language Models (LLMs).
• Knowledge of Prompt Engineering techniques and best practices.
• Experience or academic exposure to Retrieval-Augmented Generation (RAG).
• Familiarity with LangChain, LangGraph, or related AI orchestration frameworks.
• Experience building or consuming REST APIs using FastAPI.
• Proficiency with Git and version control workflows.
• Basic understanding of Docker and containerization concepts.
• Strong analytical thinking and problem-solving abilities.
• Effective communication and teamwork skills.
• Passion for AI innovation and continuous learning.

Nice-to-Have Skills

• Experience with OpenAI, Anthropic Claude, Gemini, Llama, or similar LLM platforms.
• Knowledge of vector databases such as Pinecone, Weaviate, Chroma, or FAISS.
• Familiarity with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform.
• Exposure to machine learning frameworks such as TensorFlow or PyTorch.
• Experience building AI chatbots, virtual assistants, or agentic applications.
• Understanding of MLOps, model deployment, and AI monitoring practices.
• Participation in AI hackathons, research projects, open-source contributions, or technical communities.

Recruitment Pro Tip

Since this is an entry-level AI role, your projects matter as much as professional experience. Showcase personal, academic, freelance, internship, or open-source projects involving LLMs, RAG pipelines, LangChain, AI agents, FastAPI, or prompt engineering. Demonstrating a working AI application with clear technical explanations will significantly improve your chances of being shortlisted and succeeding in technical interviews.