AI Automation Engineer

Role : AI Engineer

About Sutra.AI

Sutra.AI is a rapidly growing AI Enterprise SaaS Platform company focused on building data-to-decision automation at scale .

Our mission is to help enterprises transform raw data into intelligent, actionable insights through AI, automation, and decision intelligence.

Role Summary

We’re seeking an AI Engineer who is passionate about building real-world, production-ready AI systems using machine learning, generative AI, and agentic frameworks .

The ideal candidate is hands-on, detail-oriented, and thrives in a fast-paced environment where ideas move quickly from prototype to production.

You will collaborate closely with the AI Productization, Data, and Engineering teams to design, develop, and optimize intelligent systems that power Sutra’s next-generation AI capabilities.

Why This Role Matters

AI lies at the heart of Sutra.AI’s mission.

The AI Engineer transforms complex business problems into deployable AI systems that deliver measurable value.

Every model, LLM workflow, and intelligent agent you build directly enhances the Sutra.AI platform-driving automation, scalability, and decision intelligence for customers worldwide.

This role ensures that innovation moves beyond experimentation to become production-grade capabilities that define the Sutra.AI experience.

Must-Have Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI / ML, or related disciplines .
• 3–4 years of hands-on experience in AI / ML, LLMs, or Generative AI application development.
• Experience with RAG (Retrieval-Augmented Generation) and Agentic Frameworks .
• Prior experience fine-tuning models (OpenAI, LLaMA, Mistral, Falcon, etc.) preferred.
• Portfolio or GitHub showcasing AI or GenAI projects.

Key Responsibilities

1. AI / ML Model Development

2. Generative AI & LLM Engineering

3. AI Agent Development

4. Continuous Improvement & Documentation

Core Technical Competencies

Programming : Python (NumPy, Pandas, Scikit-Learn, FastAPI, Flask)

Databases : SQL, MySQL, MongoDB

LLM / GenAI Frameworks : LangChain, Autogen, LangGraph, Hugging Face Transformers

Fine-Tuning Techniques : Instruction-Tuning, PEFT, LoRA, Adapter Training, RLHF

Evaluation & Optimization : BLEU, ROUGE, BERTScore, factuality checks, toxicity filtering

Vector Databases : Pinecone, FAISS, Chroma, Weaviate

Bonus Tools : Streamlit, Gradio, OpenAI / Anthropic APIs, Prompt Optimization tools

Soft Skills

Success Metrics

Role Logistics

Location : Remote / Bhopal / Noida

Reporting To : Leader – AI Engineering

close collaboration with AI, Data, and Engineering teams.