Gen AI Developer Specialist
Fa Etqo Saasfaprod1 Open · verified Oct 22, 2026 India Full-time Mid-level AI Engineering
At a glance
Mid-level AI Engineering role at Fa Etqo Saasfaprod1. India · full-time.
Pay not stated AI Engineering salary
RoleAI Engineering
SeniorityMid-level
LocationIndia
EmploymentFull-time
PostedSep 7, 2026 · 6w ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Build GenAI applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex
- Develop AI agents that use external tools, APIs, databases and enterprise services
- Create RAG features for document question answering with embeddings, vector databases and semantic search
- Build REST APIs with FastAPI or a comparable framework
- Review AI-generated code for correctness, security and performance
What you bring
- You have two to seven years of hands-on work in AI/ML, Generative AI or related software development
- You can program in Python and understand LLMs, transformer architectures and core Generative AI concepts
- You have built agentic AI or RAG solutions, including tool integration or document-based question answering
- You have used ML libraries such as PyTorch, TensorFlow or another listed framework
Who this fits
This mid-level role suits someone who combines practical AI application development with Python programming. You should be comfortable working with agents, RAG, API development and AI-assisted coding practices.
From the employer
AI Developer (2–7 Years Experience) Required Skills • 2–7 years of hands-on experience in AI/ML, Generative AI, or related software development. • Strong programming experience in Python and familiarity with AI/ML development frameworks and libraries. • Strong understanding of Generative AI concepts, Large Language Models (LLMs), and Transformer-based architectures. • Hands-on experience with LLMs such as GPT, Azure Open AI or similar open source/commercial models. • Experience building GenAI applications using frameworks such as LangChain, LangGraph, LlamaIndex, or similar frameworks. • Strong understanding of Agentic AI concepts, including AI agents, tool calling, planning, reasoning, memory, and multi-agent workflows. • Experience developing AI agents and integrating external tools, APIs, databases, and enterprise services. • Experience with Retrieval-Augmented Generation (RAG), embeddings, vector databases, semantic search, and document-based question answering. • Understanding of prompt engineering, prompt optimization, structured outputs, function/tool calling, and context management. • Experience with REST API development using FastAPI or similar frameworks. • Experience with ML libraries such as PyTorch, TensorFlow, Scikit-learn, or similar frameworks. • Understanding of machine learning concepts including supervised and unsupervised learning, model evaluation, feature engineering, and model optimization. • Understanding of LLM evaluation, hallucination detection, response quality, and AI application performance optimization. • Experience in prompt engineering with AI-powered developer tools such as GitHub Copilot, Cursor AI, Claude Code, Windsurf, or similar coding assistants. • Experience with AI-assisted development and Vibe Coding practices. • Ability to review, validate, optimize, and secure AI-generated code. • Good understanding of SDLC and Agile development methodologies.