Large Language Model Jobs

I’ve already built a working AI-powered commercial decision engine that lets business users ask natural-language questions and receive strategy-level answers. Now I want to take it to the next level for large enterprises. What I need: • Solid integration with complex internal databases so the engine can pull clean, reliable data on demand. • Expansion of the insight library to cover financial performance analysis, market-trend analysis, operational-efficiency insights, plus commercial strategy, operation and CRM perspectives. • Robust, enterprise-grade architecture (security, scalability, logging, role-based access) so the solution works inside Fortune-500-style environments. • Fine-tuning of the natural-language layer—ideally using modern LLMs or RAG...

Only from NCR delhi Gurugram Noida or max India only. IST time required. Looking for a consultant who can guide on various llms and tools and how to implement. Offline and online. I am not looking for programmer. Also for different projects how best and fast programming and dev can be done using different techs

Dont bid indian and pakistan. only seeking American or European I’m looking to connect with experienced AI Engineers who are interested in collaboration opportunities related to the U.S. tech job market. Requirements: - Strong experience in AI, ML, LLMs, RAG, agents, or backend AI systems - Good software engineering foundation - Strong English communication skills, preferably C1 level or above - Reliable, professional, and open to long-term collaboration If you’re interested, please feel free to contact me. I’d be happy to share more details and discuss possible collaboration opportunities.

I want to build an intelligent agent—powered by Generative AI and a solid LLM backbone—that can sit inside our current stack and take over the routine workflows my team now handles manually. Its core purpose is task automation, and more precisely workflow automation, so every design and coding decision should support that end. The agent must be able to: • Document routing – read incoming files or messages, understand context, and pass each item to the correct person, folder, or third-party system. • Approval processes – trigger, monitor, and record multilayer approvals, nudging stakeholders when they lag, and logging a full audit trail. • Scheduling tasks – analyse workload and availability, then automatically book or reschedule tasks, meet...

I need to turn a Large Language Model into a practical, real-time assistant that runs directly on an NVIDIA Jetson board. The model will reason over image data at the edge, so every millisecond saved and every megabyte spared matters. Memory-optimised execution is therefore the single most important constraint, though I still expect you to keep latency low and power draw sensible. Here is what I want to achieve. The LLM must accept a pre-processed visual input, apply prompt-engineering tricks that preserve context, and reply fast enough to be useful on-device—no cloud fallback. Smart caching, selective quantisation, and, when it genuinely pays off, lightweight fine-tuning are all on the table. I will look to you to suggest the right mix of techniques and to implement them. You shou...