Job Description
We are looking for a Full Stack Engineer (AI/ML focused) to design, build, and scale enterprise-grade AI applications. You will deliver end-to-end AI-powered featuresfrom backend and data layers to modern UIsusing LLMs, RAG systems, and production ML infrastructure. This role blends full-stack engineering with hands-on AI/ML delivery in real-world, high-scale environments.
Key Responsibilities :
– Build and deploy AI-powered applications using LLMs (GPT-4, Claude, Gemini) and RAG architectures
– Design and implement scalable backend services (Python/FastAPI) and modern frontends (React/Next.js)
– Develop vector search and semantic retrieval using Pinecone, Weaviate, FAISS, or similar
– Implement prompt engineering, agents, and evaluation frameworks for reliable AI outputs
– Design databases and APIs supporting high-throughput AI workloads
– Deploy and operate services using Docker, Kubernetes, and CI/CD pipelines
– Ensure performance, security, observability, and cost optimization in production
Required Skills & Experience :
– 5+ years of full-stack development (Python, FastAPI/Flask, React, TypeScript)
– 3+ years building and deploying AI/ML systems in production
– Strong experience with LLMs, RAG pipelines, embeddings, and vector databases
– Hands-on with cloud platforms (AWS/Azure/GCP), Docker, Kubernetes, and IaC (Terraform)
– Solid understanding of databases (PostgreSQL, MongoDB, Redis) and API design
– Experience with testing, monitoring, CI/CD, and secure application development
Preferred Experience :
– LLM frameworks : LangChain, LlamaIndex, LangGraph
– Agentic AI systems and tool-using workflows
– Fine-tuning, multimodal AI, or event-driven architectures
– Mentoring engineers and contributing to architectural decisions
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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