AI Engineer
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Reach the decision-maker — $5About the role
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
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