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Senior AI/ML Engineer – Generative AI & LLMs
Exp: 3+ years | On-site
About the Role
We are looking for a Senior Python AI/ML Engineer with hands-on experience building and deploying production-grade Generative AI applications. You’ll be responsible for designing scalable AI systems, developing intelligent agents, implementing high-performance RAG pipelines, and taking AI solutions from prototype to production.
📍 Position: Senior Python AI/ML Engineer
🕒 Joining: Immediate Joiners Preferred
Must-Have Skills
– Strong proficiency in Python
– FastAPI for building scalable backend APIs
– PostgreSQL and Redis
– LangGraph for building AI agents and workflows
– LangSmith and Langfuse for LLM evaluation, tracing, and observability
– Docker & Docker Compose for containerization and deployments
– Experience building production-ready RAG (Retrieval-Augmented Generation) pipelines
– Hands-on experience with Qdrant or other vector databases (Pinecone, Weaviate, Milvus, ChromaDB, FAISS)
– Strong understanding of embeddings, semantic search, chunking strategies, hybrid search, reranking, and retrieval optimization
– Experience deploying and maintaining AI applications on Linux servers or cloud infrastructure
Git and modern software development practices
Responsibilities
– Build scalable AI/LLM applications and backend services.
– Design, develop, and optimize production-grade RAG pipelines.
– Develop AI agents and workflows using LangGraph.
– Integrate and optimize LLMs from OpenAI, Anthropic, Gemini, Llama, Mistral, DeepSeek, or similar providers.
– Implement LLM evaluation, monitoring, tracing, and observability using LangSmith and Langfuse.
– Optimize prompts, retrieval strategies, latency, and inference performance.
– Deploy and manage AI services using Docker, Docker Compose, and Linux servers.
– Collaborate with product and engineering teams to deliver reliable AI-powered features.
Good to Have
– LangChain or LlamaIndex
– Fine-tuning using Hugging Face, LoRA, QLoRA, PEFT, or SFT
– Experience with vLLM, Ollama, or other model-serving frameworks
– Kubernetes, Nginx, CI/CD, GitHub Actions
– Cloud platforms such as AWS, Azure, or GCP
– Multi-agent systems, MCP (Model Context Protocol), and AI orchestration frameworks
What We’re Looking For
– 3+ years of Python/backend development experience.
– Proven experience building and deploying AI applications used in production.
– Strong problem-solving skills and ability to own features end-to-end.
– Passion for modern Generative AI technologies and continuous learning.
If you’ve built real-world AI systems, production RAG pipelines, AI agents, and know how to evaluate, deploy, and scale LLM applications, we’d love to connect with you.
🚀 Immediate Joiners will be given preference.
To learn more about Ninjatech, please visit our website at https://ninjatech.agency/ or email us at hr@ninjatechnolabs.com