Mindlytic AIListing closed

AI Engineer

GJ, INOn-siteSeniorFound Jun 13
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pythonmachine learningpytorchtensorflowllmragfastapidocker

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 fast-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

Mindlytic AIAI Engineer
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