AI Engineer (Generative AI)
Job Description
Job Title: AI Engineer (Generative AI)
\nLocation: Chandivali, Andheri East, Mumbai
\nEmployment Type: Full-time
\nExperience Level: 0–1 year
\nJob Summary
\nWe are looking for a passionate Junior AI Engineer with hands-on exposure to Generative AI
\nand LLM-based application development. This role is ideal for candidates who have built
\nprojects using modern AI tools and are eager to work on real-world GenAI applications.
\nYou will work closely with senior engineers and product teams to design, build, and improve
\nAI-powered features using large language models (LLMs).
\nKey Responsibilities
\n Assist in building and deploying AI-powered applications using LLMs (e.g., OpenAI,
\nAnthropic Claude, Hugging Face)
\n Develop proof-of-concept (POC) and prototype GenAI applications
\n Integrate LLM APIs into backend or web applications
\n Design and optimize prompts for different use cases
\n Support development of RAG (Retrieval-Augmented Generation) pipelines
\n Work with structured and unstructured data for AI applications
\n Participate in testing, debugging, and improving AI outputs
\n Collaborate with product, design, and engineering teams
\n Document workflows, experiments, and implementation details
\n Stay updated with the latest advancements in Generative AI
\nRequired Skills & Qualifications
\n 0–1 year of hands-on experience or strong project experience in AI / ML / GenAI
\n Proficiency in Python
\n Basic understanding of LLMs and prompt engineering
\n Experience working with APIs (REST, JSON)
\n Familiarity with Git and basic software development practices
\n Strong problem-solving and analytical skills
\n Demonstrated interest in AI through projects, internships, or coursework
\nPreferred Skills
\n Experience with frameworks like LangChain, LlamaIndex, or similar
\n Exposure to vector databases (e.g., Pinecone, FAISS, Weaviate)
\n Understanding of RAG architectures
\n Basic knowledge of backend frameworks (Flask, FastAPI, Node.js)
\n Familiarity with cloud platforms (AWS / Azure / GCP – basic level)
\n Experience with OpenAI, Anthropic, or Hugging Face APIs
\n Participation in hackathons, AI competitions, or open-source projects
\nEducation
\n Bachelor’s degree in Computer Science, AI, Data Science, or related field
\n Equivalent hands-on/project experience will also be considered
\nWhat We Offer
\n Opportunity to work on cutting-edge Generative AI projects
\n Mentorship from experienced engineers
\n Hands-on exposure to real-world AI systems
\n Fast-paced learning environment with career growth opportunities