{"id":35724,"date":"2026-01-09T10:56:20","date_gmt":"2026-01-09T10:56:20","guid":{"rendered":"https:\/\/opte.io\/about\/?p=35724"},"modified":"2026-01-09T11:31:01","modified_gmt":"2026-01-09T11:31:01","slug":"reasoning-knowledge-architect-founding-team","status":"publish","type":"post","link":"https:\/\/opte.io\/about\/fr\/employment\/reasoning-knowledge-architect-founding-team\/","title":{"rendered":"Reasoning & Knowledge Architect (Founding Team)"},"content":{"rendered":"[et_pb_section fb_built=”1″ custom_padding_last_edited=”off|desktop” admin_label=”Hero” _builder_version=”4.21.0″ background_enable_color=”off” background_enable_image=”off” background_size=”initial” background_position=”bottom_right” custom_margin=”||||false|false” custom_padding=”0px||||false|false” custom_padding_tablet=”||||false|false” custom_padding_phone=”||||false|false” animation_direction=”bottom” background_last_edited=”off|phone” background_enable_image_phone=”off” background_size_tablet=”contain” background_size_phone=”contain” background_horizontal_offset_tablet=”1%” background_blend_phone=”multiply” locked=”off” global_colors_info=”{}” custom_css_main_element_last_edited=”off|desktop”][et_pb_row make_equal=”on” custom_padding_last_edited=”off|desktop” _builder_version=”4.18.0″ custom_padding=”||||false|false” custom_padding_tablet=”5em||1.5em||false|false” custom_padding_phone=”||||false|false” use_custom_width=”on” custom_width_px=”1280px” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_post_title meta=”off” featured_image=”off” _builder_version=”4.27.4″ _module_preset=”default” title_font=”|700|||||||” title_font_size=”30px” title_line_height=”1.1em” hover_enabled=”0″ title_font_size_tablet=”56px” title_font_size_phone=”32px” title_font_size_last_edited=”on|phone” global_colors_info=”{}” sticky_enabled=”0″][\/et_pb_post_title][et_pb_text _builder_version=”4.27.4″ text_font=”||||||||” header_font=”|700|||||||” header_text_align=”left” header_font_size=”50px” header_line_height=”1.1em” header_2_font=”|700|||||||” module_alignment=”left” custom_margin=”||||false|false” custom_padding_tablet=”1px||0px|1px|false|false” custom_padding_phone=”10px||0px|1px|false|false” custom_padding_last_edited=”off|desktop” hover_enabled=”0″ text_font_size_tablet=”32px” text_font_size_phone=”32px” text_font_size_last_edited=”off|desktop” header_font_size_tablet=”48px” header_font_size_phone=”” header_font_size_last_edited=”on|desktop” header_2_font_size_last_edited=”off|phone” locked=”off” global_colors_info=”{}” sticky_enabled=”0″]

The Vision<\/h3>\nWe aren’t looking for a “Data Scientist” to build dashboards. We need an architect who understands how to turn unstructured global data into a “Sovereign Knowledge Graph” that autonomous agents can query with high reasoning accuracy.\n

Strategic Function in the Tiger Team<\/h3>\nThis person builds the “Shared Memory”<\/strong> of the swarm. Without them, your agents are just fast-talking chatbots. With them, the agents have a persistent, sovereign intelligence they can all tap into.\n

Job Description: Lead Reasoning & Knowledge Architect<\/h2>\nThe Role:<\/strong> As a founding member of the OPTe Tiger Team, you will architect the “Sovereign Knowledge Layer.” You are responsible for ensuring our autonomous agentic swarms don’t just “hallucinate,” but reason against a grounded, high-fidelity knowledge graph. You will bridge the gap between Large Language Models and structured symbolic logic.\n\nWhat You\u2019ll Build:<\/strong>\n
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  • Shared Sovereign Memory:<\/strong> Design a distributed vector and graph-based memory system that allows agents to share context across the “Follow-the-Sun” nodes.<\/li>\n\t
  • Reasoning Chains:<\/strong> Implement and optimize advanced reasoning frameworks (Chain-of-Thought, Tree-of-Thought) to ensure agents can handle complex, multi-step missions.<\/li>\n\t
  • Small Model Optimization:<\/strong> Fine-tune and deploy efficient, specialized models (Mistral, Llama-3) that can reason at the edge without the latency of massive API-based models.<\/li>\n<\/ul>\nWho You Are:<\/strong>\n
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    • The “Graph” Expert:<\/strong> Deep experience with Qdrant, Weaviate, or Neo4j<\/strong>. You know how to make vectors and graphs talk to each other.<\/li>\n\t
    • Systems Mindset:<\/strong> You treat AI as a distributed systems problem. You understand the latency challenges of RAG (Retrieval-Augmented Generation) at scale.<\/li>\n\t
    • European Pedigree:<\/strong> Ideally coming out of a high-complexity environment like CERN, DeepL, Mistral, or a Tier 1 Quant firm.<\/strong><\/li>\n<\/ul>\nThe Conditions:<\/strong> This is a high-autonomy, founding-team role. We move fast, we pay top-tier, and we operate in a “First Who, Then What” culture. No bureaucracy\u2014just pure engineering for the sovereign intelligence layer.\n\n