AI Engineer – LLM, VLM

Job not on LinkedIn

🔥 17 hours ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🗣️ LLM Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SAI Group

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1997

📡 Telecommunications

⚡ Energy

🏗️ Construction

Telecommunications • Energy • Construction

SAI Group is a turnkey developer and contractor based in Salem, NH that provides wireless telecommunications, renewable energy, and construction services. The company offers full lifecycle site development for wireless networks — including RF engineering, DAS services, tower antenna/cable crews, electricians, installation, commissioning and optimization — and emphasizes in-house capabilities, quality control and schedule/cost management. SAI also develops renewable energy projects and infrastructure such as electric vehicle charging, solar power and energy storage solutions, and performs residential and commercial construction work. Founded in 1998, SAI highlights the ability to self-perform over 90% of development tasks and serves clients seeking integrated telecom and energy development services.

📋 Description

• Develop and deploy AI applications using LLMs and VLMs • Build RAG pipelines involving document ingestion, chunking, embeddings, retrieval, reranking, and generation • Work with models such as GPT, Claude, Gemini, Llama, Mistral, Qwen, and multimodal/VLM models • Develop multimodal solutions involving text, images, PDFs, charts, tables, and documents • Perform prompt engineering, supervised fine-tuning, LoRA/QLoRA, and model evaluation • Build AI agents and tool-calling workflows where appropriate • Optimize inference for latency, throughput, memory, and cost • Develop APIs and production services using Python, FastAPI, Docker, and cloud platforms • Implement evaluation frameworks to measure accuracy, hallucination, relevance, latency, and safety • Collaborate with ML engineers, software engineers, and product teams to take prototypes into production

🎯 Requirements

• Strong Python programming and software-engineering fundamentals • Hands-on experience with LLMs and/or VLMs • Strong understanding of Transformers, attention mechanisms, tokenization, embeddings, and inference • Experience with PyTorch and Hugging Face Transformers • Experience building RAG systems and vector-search solutions • Knowledge of prompt engineering and LLM evaluation • Experience with APIs, REST services, Git, Docker, and CI/CD • Familiarity with vector databases such as FAISS, Milvus, Pinecone, Weaviate, or pgvector • Understanding of cloud AI infrastructure, preferably AWS/Azure/GCP • Experience with multimodal models such as Qwen-VL, LLaVA, Gemini, GPT vision models, or similar • Understanding of image preprocessing and document/image understanding • Experience with OCR, document intelligence, image classification, object detection, or visual question answering is a plus • Ability to build pipelines combining vision + language + retrieval