We're looking for an AI/ML Engineer with experience building and deploying intelligent systems, spanning classical ML, deep learning, statistics, and contemporary Generative AI, across the full solution lifecycle from model development to production deployment.Responsibilities
Design, develop, and maintain ML/AI solutions using Python
Build and deploy GenAI systems: LLMs, RAG pipelines, and agentic workflows (LangChain, LlamaIndex, LangGraph)
Work with embeddings, semantic search, vector databases, and MCP-based tool integrations
Develop and integrate RESTful APIs for AI/ML services
Fine-tune and evaluate models (including LoRA/QLoRA) and build evaluation frameworks for accuracy, reliability, and bias
Optimize for performance, latency, cost, and scalability
Collaborate cross-functionally, write clean/testable code, participate in code reviews
Stay current with recent model releases, techniques, and tools, and judge what's actually worth adopting vs. hype

Requirements
3+ years in AI/ML development, strong Python
Solid grasp of classical ML (regression, classification, clustering) and foundational statistics (probability, hypothesis testing, A/B testing)




Understanding of deep learning concepts (neural network architectures, CNNs, RNNs, transformers, backpropagation, training/optimization techniques)
Hands-on with NLP, Generative AI, embeddings, semantic search
Experience with RAG, vector databases (Pinecone/Weaviate/Qdrant), and PostgreSQL/MongoDB
Experience with agentic frameworks (LangChain, LangGraph, LlamaIndex) and MCP
Familiarity with Git, CI/CD, Agile
Experience with OpenAI, Anthropic, or similar LLM APIs
Bonus: LoRA/QLoRA fine-tuning, reasoning/test-time-compute techniques, LLMOps

Stand out if you can
Have taken at least one GenAI project end-to-end, from idea to a live, hosted deployment someone else can actually use (a multi-agent system, an AI product, or any other practical application), not just notebooks or coursework
Demonstrate awareness of current AI trends and practical judgment on what's worth adopting
Show sound reasoning around model selection and architecture tradeoffs for a given use case

Pay: ₹500,000.00 - ₹1,000,000.00 per year

Perks
Provident Fund

Work Location: In person

📌 Ai/ml Engineer Sahibzada Ajit Singh Nagar (India)
🏢 tecHindustan
📍 India