Software Engineer

Job Title : Gen AI Engineer

Location : Mumbai (On-site)

Experience : 0–3 years

About the company

We are a pioneering artificial intelligence company that has developed its own Large Language Model (LLM) to power enterprise intelligence and automation at scale. Our mission is to redefine how businesses interact with data — transforming static information into dynamic, decision-ready insights. We’re not just building tools; we’re building the future of intelligent systems.

Role Overview

We’re looking for a Gen AI Engineer who is passionate about developing, fine-tuning, and deploying advanced generative AI systems. You’ll work closely with our product, data, and engineering teams to enhance our proprietary LLM capabilities and build intelligent applications around it.

This is a hands-on role ideal for someone who thrives at the intersection of research, applied AI engineering, and problem-solving.

Key Responsibilities

Develop and

fine-tune LLMs and multimodal AI

models for domain-specific applications.

Design and implement

prompt engineering, retrieval-augmented generation (RAG),

and knowledge grounding pipelines.

Collaborate with backend and ML teams to

integrate GenAI models

into production systems.

Experiment with

open-source models (Llama, Mistral, Falcon, etc.)

and evaluate them for internal use cases.

Build and optimize

data pipelines for training and inference.

Work with

vector databases (Pinecone, FAISS, Weaviate)

and embedding frameworks.

Monitor and improve

model performance, scalability, and latency in live environments.

Contribute to

AI safety, compliance , and ethical model usage frameworks.

Required Skills & Experience

0–3 years of hands-on experience in Machine Learning, NLP, or Generative AI development.

Strong proficiency in

Python, PyTorch / TensorFlow, and LangChain / LlamaIndex.

Solid understanding of transformer architectures, tokenization, and embedding models.

Experience working with

LLM APIs (OpenAI, Anthropic, our own LLM, etc.).

Proficiency in deploying models using

Docker, FastAPI, or similar frameworks.

Good grasp of cloud platforms

(AWS, GCP, Azure) for AI workloads.

Demonstrated problem-solving skills and a strong product-focused mindset.

Proven participation and success in Hackathons or

AI / ML competitions.

Good to Have

Experience building AI copilots, chatbots, or enterprise automation systems.

Familiarity with fine-tuning methods

(LoRA, QLoRA, PEFT).

Knowledge of MLOps

and continuous training pipelines.

Exposure to vector search and knowledge graph systems.

Why us?

Work directly on a homegrown LLM powering enterprise intelligence.

Collaborate with a team of AI innovators and full-stack problem-solvers.

Be part of a fast-scaling company building real-world, high-impact AI systems.

Enjoy a learning-driven environment, competitive compensation, and rapid growth opportunities.

If you are interested please apply at - Priyansh@hirojet.com