Artificial Intelligence Engineer

3 weeks ago

Bhopal, Madhya Pradesh, India SUPERSOURCING TECHNOLOGIES PRIVATE LIMITED Full time

Job Title : AI Engineer GenAI/NLP (Relocation to Indore | Immediate Joiners Only)

Location : Indore (Relocation Required)

Experience : 2+ Years

Join Timeframe : Immediate (015 days preferred)

Job Type : Full-time | On-site

About Us :

Were a fast-growing startup on a mission to revolutionize software delivery through AI-first solutions. Our platform leverages the latest in Generative AI and NLP to empower developers, automate tasks, and supercharge productivity across the tech lifecycle.

What Youll Do :


- Design and develop scalable NLP and GenAI-driven solutions using Python and state-of-the-art LLMs (OpenAI, Mistral, GPT, etc.)

- Own prompt engineering, fine-tuning, and pipeline optimization

- Apply ML algorithms, clustering, and classification techniques to solve real-world tech productivity problems

- Collaborate closely with our founders, product teams, and developers to integrate AI into core product workflows

- Stay updated with the latest research and innovations in GenAI and ML

What Were Looking For :

- 2+ years of hands-on experience in Python and NLP

- 1+ years of experience working with LLMs (OpenAI, Mistral, GPTs, etc.) and prompt engineering

- Strong foundation in ML algorithms, predictive modeling, and data structures

- Degree in a quantitative field Computer Science, Statistics, or similar (or equivalent practical experience)

- Bonus: Experience with LangChain, vector databases (Pinecone/FAISS), or RAG pipelines

Why Join Us :

- Direct Impact Work side-by-side with the founding team; your ideas shape the product

- Career Growth Get exposure to cutting-edge AI tools and challenging problems from day one

- Smart Peers Join a high-caliber, collaborative, and innovative team

- Best-in-Class Pay Compensation above industry standards

- Relocation Support We assist in making your move to Indore smooth and easy

- Learning Culture Weekly AI discussions, paper reading, and open experimentation encouraged.

(ref:hirist.tech)

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