Technisch engineer.

Role: AI Engineer AI 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. 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 . 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. 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. AI experience. 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.) Portfolio or GitHub showcasing AI or GenAI projects. AI/ML Model Development Build and optimize supervised and unsupervised ML models using Python and Scikit-Learn . Perform feature engineering, data wrangling, and model evaluation for structured and unstructured datasets. Collaborate with Data and Engineering teams to ensure reproducibility and deployment readiness . Generative AI & LLM Engineering Develop and integrate LLM-based applications using LangChain, Autogen, or LangGraph . Build evaluation pipelines to assess LLM output quality, coherence, and bias. AI Agent Development Design and deploy autonomous AI agents capable of reasoning, planning, and multi-step tool use. Integrate agents with APIs, databases, and internal platforms to automate workflows. Enhance reliability, scalability, and maintainability of deployed AI systems. Participate in peer reviews and sprint retrospectives to ensure quality and delivery efficiency. Research and adopt emerging AI/ML and agentic advancements to strengthen Sutra’s AI stack. Programming: Python (NumPy, Pandas, Scikit-Learn, FastAPI, Flask) Databases: SQL, MySQL, MongoDB LLM / GenAI Frameworks: Fine-Tuning Techniques: Instruction-Tuning, PEFT, LoRA, Adapter Training, RLHF Vector Databases: Bonus Tools: Deep curiosity and passion for emerging AI technologies. Ability to translate technical outcomes for non-technical audiences. Collaborative mindset and comfort in agile, cross-functional teams. Model Accuracy & Quality: LLM Fine-Tuning Impact: Demonstrated improvement in model performance post-tuning. Location: Remote / Bhopal / Noida Reporting To: Leader – AI Engineering close collaboration with AI, Data, and Engineering teams.