Company:
AI Sales
Location: San Francisco
Closing Date: 23/11/2026
Hours: Full Time
Type: Permanent
Job Description
Team: AI & Engineering Location: Remote / USA/San Francisco Type: Full-time Reports to: AI Engineering Lead
About us
With a very small sized team, we are talking to most senior executives of top companies in the World for a client relationship. Similarly, we are in discussion with top M&A guys of best companies. Come and join a small team that is achieving so much. A very interesting, detailed strategic plan is ready for you to work on.
AI Sales LLC (Idea N Technology) builds LeadsPipe, an AI sales co-pilot for enterprise and engineering/EPC firms. The platform finds high-intent prospects, identifies the real decision-makers, surfaces the business problems inside target companies, forecasts tenders before they are announced, and helps prepare proposal sections. We are an early-stage, founder-led company serving clients in the USA, the GCC and worldwide, and we are building our first core team.
The role
You will build the agents that do the selling work: researching accounts, mapping decision-makers, simulating buying committees and drafting outreach and proposal sections. Your work is the heart of what clients pay for.
What you'll do
Build and improve multi-agent workflows such as the Shadow Agent (decision-committee simulation), Digital Twin of the buyer and Orchestrator
Develop prompt chains, RAG pipelines and tool-use agents that research companies and surface their business problems
Build proposal-generation features (Proposal DNA, Reality Sim) that draft and test proposal sections
Set up evaluation datasets and metrics to measure accuracy, hallucination rate and usefulness
Optimise latency and token cost across LLM providers
Work with the sales team to turn real client feedback into better agent behaviour
What you bring
3+ years of software engineering with 1+ year building on LLMs in production
Strong Python; experience with LangChain, LlamaIndex, LangGraph or similar
Solid grasp of embeddings, retrieval, prompt engineering and fine-tuning trade-offs
A habit of measuring quality with evals rather than gut feel
Clear written English
Nice to have
NLP background (classification, entity extraction, summarisation)
Experience with voice AI or speech synthesis
Knowledge of sales processes, procurement or tendering
What we offer
Meaningful founding-team equity (ESOP), vesting over 4 years
Remote-first, flexible hours, with overlap to UAE (GST) time
Direct mentorship from a founder with 15+ years of enterprise BD across AtkinsRalis, Parsons and Worley
Real ownership: your work ships to paying enterprise clients
How to apply
Send your CV, GitHub, and a link to (or short write-up of) an LLM agent you built to . Subject line: LLM & AI Agent Engineer.
About us
With a very small sized team, we are talking to most senior executives of top companies in the World for a client relationship. Similarly, we are in discussion with top M&A guys of best companies. Come and join a small team that is achieving so much. A very interesting, detailed strategic plan is ready for you to work on.
AI Sales LLC (Idea N Technology) builds LeadsPipe, an AI sales co-pilot for enterprise and engineering/EPC firms. The platform finds high-intent prospects, identifies the real decision-makers, surfaces the business problems inside target companies, forecasts tenders before they are announced, and helps prepare proposal sections. We are an early-stage, founder-led company serving clients in the USA, the GCC and worldwide, and we are building our first core team.
The role
You will build the agents that do the selling work: researching accounts, mapping decision-makers, simulating buying committees and drafting outreach and proposal sections. Your work is the heart of what clients pay for.
What you'll do
Build and improve multi-agent workflows such as the Shadow Agent (decision-committee simulation), Digital Twin of the buyer and Orchestrator
Develop prompt chains, RAG pipelines and tool-use agents that research companies and surface their business problems
Build proposal-generation features (Proposal DNA, Reality Sim) that draft and test proposal sections
Set up evaluation datasets and metrics to measure accuracy, hallucination rate and usefulness
Optimise latency and token cost across LLM providers
Work with the sales team to turn real client feedback into better agent behaviour
What you bring
3+ years of software engineering with 1+ year building on LLMs in production
Strong Python; experience with LangChain, LlamaIndex, LangGraph or similar
Solid grasp of embeddings, retrieval, prompt engineering and fine-tuning trade-offs
A habit of measuring quality with evals rather than gut feel
Clear written English
Nice to have
NLP background (classification, entity extraction, summarisation)
Experience with voice AI or speech synthesis
Knowledge of sales processes, procurement or tendering
What we offer
Meaningful founding-team equity (ESOP), vesting over 4 years
Remote-first, flexible hours, with overlap to UAE (GST) time
Direct mentorship from a founder with 15+ years of enterprise BD across AtkinsRalis, Parsons and Worley
Real ownership: your work ships to paying enterprise clients
How to apply
Send your CV, GitHub, and a link to (or short write-up of) an LLM agent you built to . Subject line: LLM & AI Agent Engineer.
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