Senior GenAI Engineer
- Posted 12 days ago
- Be among the first 10 applicants
Job Description
Role Overview
We are seeking a Senior GenAI Engineer with 5–7 years of experience who has independently built and deployed scalable GenAI systems. You will play a critical role in designing robust architectures and owning end-to-end delivery of production-grade AI applications.
Key Responsibilities
We are seeking a Senior GenAI Engineer with 5–7 years of experience who has independently built and deployed scalable GenAI systems. You will play a critical role in designing robust architectures and owning end-to-end delivery of production-grade AI applications.
Key Responsibilities
- Design and implement scalable GenAI and RAG-based architectures
- Lead development using LangChain / LangGraph and advanced orchestration techniques
- Architect and optimize vector search systems and embedding pipelines
- Develop and deploy APIs and microservices for GenAI applications
- Take ownership of end-to-end lifecycle: design, development, testing, deployment, monitoring
- Optimize performance, latency, and cost of LLM-based systems
- Mentor junior engineers and contribute to best practices
- Collaborate with product and business teams to translate requirements into AI solutions
- Strong expertise in Python and backend development
- Deep understanding of RAG pipelines and LLM architectures
- Hands-on experience with LangChain / LangGraph
- Strong experience with Vector Databases (Pinecone, Weaviate, FAISS, etc.)
- Proven experience deploying applications on cloud platforms (AWS/GCP/Azure)
- Experience with Docker, Kubernetes, CI/CD pipelines
- Solid understanding of system design and scalability
- Experience building enterprise-grade GenAI applications in production
- Familiarity with LLMOps / MLOps practices
- Exposure to multi-agent systems
- Experience with monitoring tools and observability
More Info
Key Skills
LangChain
Pinecone
LangGraph
Vector Databases
FAISS
CI CD pipelines
LLM architectures
RAG pipelines
Weaviate
About Company
Skills:
Orchestration, Django, React, Gcp, FastAPI, Azure, Python, multi-step reasoning, tool function calling, Vector databases, Svelte, Agentic AI, LLM APIs, RAG pipelines
Skills:
Tensorflow, Pytorch, Microsoft Azure, Python, Sql, LangChain, OpenAI API, Anthropic Claude, Hugging Face, Azure OpenAI
Skills:
Sql, Deep Learning, Tensorflow, Pytorch, Keras, Groovy, Machine Learning Algorithms, FastAPI, Python, Docker, Jenkins, MongoDB, LLMs, OpenAI, feature engineering, scikit-learn, data preprocessing, Azure OpenAI, Weaviate, Meta Llama, LangFuse, LangChain, Pinecone, LangGraph, Vector Databases, FAISS, Anthropic Claude
Skills:
production readiness , Python, ML training and evaluation workflows, scalable system design, data pipelines, GenAI LLM application development, deployment observability, model pipelines, APIs and backend services, ML LLM framework
Skills:
Algorithms, Computer Vision, Debugging, data structures, Python, ML infrastructure, LLMs, Data Processing, GenAI techniques, model deployment, language modeling, model evaluation, Optimization, Multi-Modal Large Vision Models