Abrar Admin

Sutra.AI

<div>
 
 
 Role: AI Engineer
 
 
 
 
 [Immediate Joiners Only]
 
 
 
 
 
 
 
 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&rsquo;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&rsquo;s next-generation AI capabilities.
 
 
 
 
 
 
 Why This Role Matters
 
 
 
 AI lies at the heart of Sutra.AI&rsquo;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
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Computer Science, Data Science, AI/ML, or related disciplines
 
 .
 </li>
 <li>
 
 3&ndash;4 years
 
 of hands-on experience in
 
 AI/ML, LLMs, or Generative AI
 
 application development.
 </li>
 <li>
 Experience with
 
 RAG (Retrieval-Augmented Generation)
 
 and
 
 Agentic Frameworks
 
 .
 </li>
 <li>
 Prior experience
 
 fine-tuning models
 
 (OpenAI, LLaMA, Mistral, Falcon, etc.) preferred.
 </li>
 <li>
 
 Portfolio or GitHub
 
 showcasing AI or GenAI projects.
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 1. AI/ML Model Development
 
 
 <ul>
 <li>
 Build and optimize supervised and unsupervised ML models using
 
 Python and Scikit-Learn
 
 .
 </li>
 <li>
 Perform
 
 feature engineering, data wrangling, and model evaluation
 
 for structured and unstructured datasets.
 </li>
 <li>
 Apply
 
 evaluation metrics
 
 (ROC-AUC, F1, RMSE, Precision, Recall) for benchmarking.
 </li>
 <li>
 Collaborate with Data and Engineering teams to ensure
 
 reproducibility and deployment readiness
 
 .
 </li>
 </ul>
 
 
 2. Generative AI &amp; LLM Engineering
 
 
 <ul>
 <li>
 Develop and integrate
 
 LLM-based applications
 
 using
 
 LangChain, Autogen, or LangGraph
 
 .
 </li>
 <li>
 Perform
 
 fine-tuning and instruction-tuning
 
 using
 
 Hugging Face Transformers, PEFT, LoRA, or OpenAI APIs
 
 .
 </li>
 <li>
 Optimize
 
 prompts, model parameters, and responses
 
 for factual accuracy and contextual relevance.
 </li>
 <li>
 Implement
 
 RAG pipelines
 
 using
 
 Pinecone, FAISS, Chroma, or Weaviate
 
 .
 </li>
 <li>
 Build
 
 evaluation pipelines
 
 to assess LLM output quality, coherence, and bias.
 </li>
 </ul>
 
 
 3. AI Agent Development
 
 
 <ul>
 <li>
 Design and deploy
 
 autonomous AI agents
 
 capable of reasoning, planning, and multi-step tool use.
 </li>
 <li>
 Leverage frameworks such as
 
 LangGraph, Autogen, or CrewAI
 
 for
 
 multi-agent systems
 
 .
 </li>
 <li>
 Integrate agents with
 
 APIs, databases, and internal platforms
 
 to automate workflows.
 </li>
 <li>
 Enhance
 
 reliability, scalability, and maintainability
 
 of deployed AI systems.
 </li>
 </ul>
 
 
 4. Continuous Improvement &amp; Documentation
 
 
 <ul>
 <li>
 Maintain
 
 comprehensive documentation
 
 and model tracking for reproducibility.
 </li>
 <li>
 Collaborate with cross-functional teams for
 
 smooth integration
 
 into customer solutions.
 </li>
 <li>
 Participate in
 
 peer reviews and sprint retrospectives
 
 to ensure quality and delivery efficiency.
 </li>
 <li>
 Research and adopt
 
 emerging AI/ML and agentic advancements
 
 to strengthen Sutra&rsquo;s AI stack.
 </li>
 </ul>
 
 
 
 
 
 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 &amp; 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
 
 
 <ul>
 <li>
 Deep curiosity and passion for emerging AI technologies.
 </li>
 <li>
 Clear, structured communication and documentation ability.
 </li>
 <li>
 Ability to
 
 translate technical outcomes
 
 for non-technical audiences.
 </li>
 <li>
 Strong ownership, accountability, and commitment to delivery timelines.
 </li>
 <li>
 Collaborative mindset and comfort in agile, cross-functional teams.
 </li>
 </ul>
 
 
 
 
 
 Success Metrics
 
 
 <ul>
 <li>
 
 Model Accuracy &amp; Quality:
 
 Achieves or exceeds benchmark accuracy and consistency.
 </li>
 <li>
 
 LLM Fine-Tuning Impact:
 
 Demonstrated improvement in model performance post-tuning.
 </li>
 <li>
 
 Delivery Timeliness:
 
 On-time completion of key milestones and deliverables.
 </li>
 <li>
 
 Documentation Completeness:
 
 Clear, reproducible code and experiment logs.
 </li>
 </ul>
 
 
 
 
 
 Role Logistics
 
 
 
 
 Location:
 
 Delhi NCR / Bhopal
 
 
 
 Reporting To:
 
 Leader &ndash; AI Engineering
 
 
 
 Cadence &amp; Collaboration:
 
 Weekly team meetings; close collaboration with AI, Data, and Engineering teams.
 
</div>

AI Engineer

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Sutra.AI

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AI Engineer