Artificial Intelligence Engineer

Summitworks Technologies

Chennai District

On-site

INR 600,000 - 900,000

Full time

14 days+

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Job summary

Summitworks Technologies in Chennai seeks an AI Engineer (0–2 years) to design and build AI-powered applications using LLMs, LangChain, and RAG techniques. You will craft prompts, integrate OpenAI/Llama models, and collaborate with engineers to solve real business problems.

You’ll work with vector databases, embeddings, and grounding methods while staying current on Generative AI trends and maintaining technical documentation.

Qualifications

  • 0–2 years of AI/ML or Generative AI development experience.
  • Bachelor’s degree in CS/AI/IT or related Engg disciplines preferred.
  • Strong programming skills in Python.
  • Hands-on experience with Python frameworks such as FastAPI, Flask, or similar.
  • Solid understanding of AI/ML fundamentals and Generative AI concepts.
  • Experience with OpenAI, Llama or similar foundation models.
  • Knowledge of LangChain, LangGraph, Prompt Engineering, Embeddings, Vector Databases, and RAG.
  • Exposure to Agentic AI concepts and AI agent development.
  • Excellent problem-solving and communication skills.

Responsibilities

  • Develop AI-powered applications using Python and modern AI frameworks.
  • Integrate LLM-based solutions using OpenAI, Llama, and similar models.
  • Implement RAG solutions with vector databases and embeddings.
  • Work with LangChain, LangGraph for AI workflows.
  • Design prompts for Generative AI use cases.
  • Collaborate with engineering teams to ship AI solutions for business problems.
  • Participate in model evaluation, testing, and performance optimization.
  • Stay updated with Generative AI advancements and maintain docs.

Skills

Python
FastAPI
LLMs
LangChain
LangGraph
Prompt engineering
Embeddings
Vector databases
RAG
Grounding AI
OpenAI
Llama
Agentic AI
REST APIs
Git
Docker
CI/CD

Education

B.E./B.Tech in CS/AI/IT

Tools

OpenAI
Llama
ChromaDB
Pinecone
FAISS
Qdrant
Milvus
Azure
AWS
GCP
Docker
Git

Job description

JD – AI Engineer (Generative AI / LLM)

Location: Chennai | Experience: 0 – 2 Years | Employment Type: Full-Time

About the Role

We are looking for a passionate and innovative AI Engineer to innovate design, develop AI-powered applications using Large Language Models (LLMs), Agentic AI, and modern Generative AI frameworks. The ideal candidate should have strong programming skills with solid AI/ML fundamentals, and hands‑on experience building AI solutions to solve real-world business problems.

Key Responsibilities
  • Develop AI-powered applications using Python and modern AI frameworks.
  • Build and integrate LLM-based solutions using OpenAI, Llama, and similar foundation models.
  • Develop and implement RAG applications using Vector Databases, Embeddings, and Grounding techniques.
  • Work with LangChain, LangGraph, and Agentic AI frameworks to build intelligent AI workflows.
  • Design and optimize prompts for various Generative AI use cases.
  • Collaborate with engineering teams to build AI solutions for real-world business problems.
  • Participate in AI model evaluation, testing, debugging, and performance optimization.
  • Stay updated with the latest advancements in Generative AI, LLMs, Agentic AI, and related technologies.
  • Contribute to AI projects and maintain technical documentation.
Required Skills
  • 0–2 years of experience in AI/ML or Generative AI development.
  • Bachelor’s degree in computer science, Artificial Intelligence, Information Technology, or related Engineering disciplines (Preferred).
  • Strong programming skills in Python.
  • Hands‑on experience with Python frameworks such as FastAPI, Flask, or similar.
  • Strong understanding of Artificial Intelligence, Machine Learning, and Deep Learning fundamentals.
  • Good understanding of Generative AI concepts and LLM architectures.
  • Hands‑on experience with OpenAI, Llama, or similar foundation models.
  • Strong knowledge of:
    • o LangChain, LangGraph, Prompt Engineering, Embeddings, Vectorization, Vector Databases, Grounding AI Solutions, Retrieval-Augmented Generation (RAG)
  • Good understanding or exposure to Agentic AI concepts and AI Agent development.
  • Strong analytical, logical, and problem‑solving skills.
  • Good communication and collaboration skills.
Preferred Skills
  • Experience with Computer Vision.
  • Exposure to Hugging Face, Transformers, or similar AI frameworks.
  • Experience with Vector Databases such as Pinecone, ChromaDB, FAISS, Qdrant, or Milvus.
  • Exposure to cloud platforms such as Azure, AWS, or GCP.
  • Knowledge of REST APIs, Git, Docker, and CI/CD.
Educational Qualification
  • B.E./B.Tech in Computer Science, Artificial Intelligence, Information Technology, or related Engineering disciplines.

Candidates with strong academic performance and hands‑on AI projects will be preferred.

Mandatory Project Experience
  • LLM-based Applications
  • RAG-based Solutions
  • AI Chatbots / AI Assistants
  • Agentic AI Workflows
  • Prompt Engineering
  • LangChain / LangGraph
  • OpenAI / Llama Integrations
  • Vector Database Implementations
  • AI solutions solving real-world business problems
What We’re Looking For
  • Strong passion for Artificial Intelligence and emerging technologies.
  • Excellent engineering mindset with a focus on solving real-world problems.
  • Ability to quickly learn and adopt new AI frameworks and technologies.
  • Strong ownership, innovation, and problem‑solving capabilities.
  • Ability to work effectively in a fast-paced product engineering environment.
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