We're hiring an AI Engineer to design, build, and ship AI/ML and generative AI solutions for our client projects — spanning LLM-powered applications, RAG pipelines, and classical ML systems. This is a client-facing delivery role: you'll work directly with international stakeholders to turn business problems into working, production-grade AI systems, not just prototypes. AWS experience is a plus, since our US partner firm is an AWS Advanced Partner, but it is not mandatory — we care more about your ability to reason about AI system architecture across any cloud stack.

Responsibilities
- Design, build, and deploy production-grade AI/ML and generative AI solutions — LLM-powered applications, RAG pipelines, agentic workflows, and classical ML models — for client engagements.
- Work directly with international clients to translate business requirements into technical AI solution designs; contribute to scoping, estimation, and architecture discussions across time zones.
- Build and optimize RAG pipelines: chunking strategies, embeddings, hybrid retrieval, and vector search,



along with prompt engineering for accuracy and reliability.
- Integrate LLM APIs (OpenAI, Anthropic, open-source models via Hugging Face, etc.) and orchestration frameworks (LangChain, LlamaIndex, or similar) into client backend and product systems.
- Fine-tune and customize foundation models where needed (SFT, PEFT/LoRA) for domain-specific client use cases.
- Build and maintain data pipelines for training and inference — cleaning, labeling, and feature engineering.
- Deploy and operate models and AI services on cloud infrastructure (AWS, GCP, or Azure) using Docker, Kubernetes, and CI/CD pipelines.
- Set up evaluation harnesses and monitoring for accuracy, hallucination rate, latency, drift, and inference cost; iterate based on production feedback.
- Collaborate with backend, frontend, DevOps, QA, and project management, as well as directly with client teams, across the full delivery lifecycle.
- Re

📌 Data Engineer (Surat)
🏢 Crest Infosystems
📍 Surat