We are looking for a hands-on AI / Machine Learning Engineer who can design, build, and deploy intelligent systems using modern ML and LLM-based architectures. You will work closely with product, engineering, and business teams to deliver scalable AI solutions for real-world use cases.

This role is ideal for someone who enjoys both research + production engineering , and has experience taking models from experimentation to deployment.

Key Responsibilities

- Design, develop, and deploy machine learning and AI solutions for production use

- Build and optimize LLM-based systems (RAG, agents, prompt pipelines)

- Develop data pipelines for training, fine-tuning, and inference :

- Implement vector search, embeddings, and retrieval systems :

- Evaluate model performance and continuously improve accuracy and latency

- Work with backend engineers to integrate AI services via APIs

- Write clean, scalable, and well-documented code

- Stay updated with the latest advancements in AI/ML and LLMs

Required SkillsCore

- Strong proficiency in Python :

- Solid understanding of Machine Learning fundamentals (supervised, unsupervised, evaluation metrics)

- Experience with deep learning frameworks : PyTorch or TensorFlow

- Experience building REST APIs (FastAPI / Flask)





LLM & AI Systems

- Hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, etc.)

- Experience with RAG architectures :

- Vector databases :Chroma, Pinecone, Weaviate, FAISS :

- Prompt engineering and structured outputs (JSON / schemas)

Data & Infra

- Experience with SQL / NoSQL databases :

- Familiarity with cloud platforms (AWS / GCP / Azure)

- Understanding of model deployment, monitoring, and scaling :

- Experience with Docker (preferred)

Good to Have

- Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks :

- Experience with multi-agent systems :

- Familiarity with ML observability tools (Langfuse, LangSmith, Weights & Biases)

- Knowledge of NLP, computer vision, or recommendation systems :

- Experience working in startup or quick-paced environments

What You’ll Work On

- AI chatbots and agents
- RAG-based knowledge systems
- Automation and decision-support tools
- AI features for SaaS and enterprise platforms

Job Types : Full-time, Permanent

Pay: ₹12,000.00 - ₹50,000.00 per month

Benefits :

- Flexible schedule
- Paid sick time
- Paid time off

Work Location: In person

📌 Ai Engineer (Surat)
🏢 Mindlytic AI
📍 Surat