What You'll Do

- 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. Review code and architecture, mentor junior engineers, and contribute to reusable AI accelerators and technical standards for the practice. Track the fast-moving AI/GenAI landscape and help make pragmatic build-vs-buy calls on AI tooling and infrastructure.

Pay: ₹477,682.82 - ₹2,000,000.00 per year

Benefits

- Adaptable schedule

Work Location: Remote

📌 AI Engineer (India)
🏢 Crest Infosystems
📍 India