AI Developer

MetAntz; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

MetAntz is seeking a GenAI Developer in Bangalore to build and integrate AI-powered applications using modern Generative AI technologies. You will work on RAG pipelines, prompt design, and LLM workflows, collaborating with product and engineering to move AI solutions from concept to production.

The ideal candidate has 2-5 years of software or GenAI experience, strong Python skills, and familiarity with LangChain, vector DBs, and cloud platforms.

Qualifications

• 2-5 years of experience in Software Development, AI/ML, or GenAI.
• Strong programming skills in Python.
• Hands-on experience with Generative AI and Large Language Models (LLMs).
• Good understanding of RAG, embeddings, vector databases, and prompt engineering.
• Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or similar LLM APIs.
• Experience with frameworks such as LangChain, LlamaIndex, LangGraph, or Semantic Kernel.
• Understanding of REST APIs, JSON, Git, and backend development.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.

Responsibilities

• Develop and deploy Generative AI applications using LLMs such as GPT, Claude, Gemini, or open-source models.
• Build RAG pipelines using vector databases and embedding models.
• Design and optimize prompts, prompt templates, and LLM workflows.
• Work with Python and AI/ML frameworks to develop scalable solutions.
• Integrate LLM APIs with existing applications and backend services.
• Work with vector databases such as Pinecone, FAISS, Chroma, or Milvus.
• Develop AI agents, chatbots, document intelligence, and other GenAI use cases.
• Evaluate LLM performance, accuracy, latency, and cost.
• Implement techniques such as fine-tuning, embeddings, function calling, and structured outputs where required.
• Collaborate with product, engineering, and business teams to convert requirements into AI solutions.
• Deploy and monitor GenAI applications in cloud environments such as AWS, Azure, or GCP.

Skills

Python

Generative AI

LLMs

Prompt engineering

RAG

REST APIs

AI/ML frameworks

Cloud platforms

Education

Bachelor's or Master's in CS/AI/ML

Tools

LangChain

LlamaIndex

LangGraph

Semantic Kernel

Docker

Kubernetes

Pinecone/FAISS/Chroma/Milvus

Job description

GenAI Developer

We are looking for a GenAI Developer to build and integrate AI-powered applications using modern Generative AI technologies. The ideal candidate should have hands‑on experience with LLMs, prompt engineering, RAG, Python, and AI/ML frameworks and be comfortable taking AI solutions from concept to production.

Key Responsibilities

• Develop and deploy Generative AI applications using LLMs such as GPT, Claude, Gemini, or open‑source models.


• Build RAG (Retrieval‑Augmented Generation) pipelines using vector databases and embedding models.


• Design and optimize prompts, prompt templates, and LLM workflows.


• Work with Python and AI/ML frameworks to develop scalable solutions.


• Integrate LLM APIs with existing applications and backend services.


• Work with vector databases such as Pinecone, FAISS, Chroma, or Milvus.


• Develop AI agents, chatbots, document intelligence, and other GenAI use cases.


• Evaluate LLM performance, accuracy, latency, and cost.


• Implement techniques such as fine‑tuning, embeddings, function calling, and structured outputs where required.


• Collaborate with product, engineering, and business teams to convert requirements into AI solutions.


• Deploy and monitor GenAI applications in cloud environments such as AWS, Azure, or GCP.

Required Skills

• 2-5 years of experience in Software Development, AI/ML, or GenAI.


• Strong programming skills in Python.


• Hands‑on experience with Generative AI and Large Language Models (LLMs).


• Good understanding of RAG, embeddings, vector databases, and prompt engineering.


• Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or similar LLM APIs.


• Experience with frameworks such as LangChain, LlamaIndex, LangGraph, or Semantic Kernel.


• Understanding of REST APIs, JSON, Git, and backend development.


• Familiarity with cloud platforms such as AWS, Azure, or GCP.


• Good understanding of AI application development and software engineering best practices.

Good to Have

• Experience building AI Agents, Agentic AI workflows.


• Knowledge of LLM evaluation and observability tools.


• Experience with Docker and Kubernetes.


• Exposure to CI/CD and MLOps, LLMOps.


• Knowledge of fine‑tuning or open‑source models such as Llama, Mistral, or Qwen.


• Experience working with enterprise data, APIs, and document‑processing pipelines.

Soft Skills

• Strong problem‑solving and analytical skills.


• Good communication and collaboration abilities.


• Ability to work in a fast‑paced product, startup environment.


• Strong ownership and willingness to experiment with emerging AI technologies.

Education

• Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or a related field. Location Bangalore, Karnataka, India