Build the AI enterprises can truly own.

The role

Translate business workflows, data sensitivity, governance expectations, and infrastructure constraints into secure, scalable architectures spanning data, models, orchestration, integrations, deployment, observability, and human oversight.

What you will do

• Lead technical discovery with enterprise executives, architects, engineering leaders, and business stakeholders.
• Define end-to-end private AI architectures across identity, policy, data, tools, models, orchestration, validation, workflow, and learning.
• Shape provider-neutral model strategies spanning deterministic rules, SLMs, private RAG, specialist models, and larger LLMs.
• Design secure enterprise integrations, governance controls, model routing, and on-premises, private-cloud, hybrid, or disconnected deployments.
• Guide AI and Data Engineers through design, build, testing, production readiness, and technical risk management.
• Create reusable reference architectures, accelerators, templates, and technical playbooks.

What you bring

• 10–15 years in technology, including 5+ years in AI, ML, data, cloud, platform, or enterprise architecture.
• 2–3+ years designing production GenAI, LLM, SLM, RAG, or AI orchestration systems.
• Strength in distributed systems, model routing, orchestration, secure RAG, evaluation, and human-in-the-loop patterns.
• Practical knowledge of private deployment, GPU infrastructure, Kubernetes, model serving, IAM, encryption, isolation, and observability.
• Experience leading enterprise design reviews and customer implementations; regulated-industry experience is strongly preferred.

You will thrive here if: you combine deep technical judgment with commercial awareness and can move comfortably between executive conversations and hands-on engineering decisions.

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The role

Design and build the secure foundation that turns structured and unstructured enterprise information into trusted, permission-aware, traceable context for private AI orchestration and SLMs.

What you will do

• Build secure ingestion from ERP, CRM, DMS, databases, APIs, spreadsheets, repositories, and legacy applications.
• Create canonical models and pipelines for private RAG, enterprise search, AI workflows, evaluation, analytics, and fine-tuning.
• Develop document processing for contracts, claims, policies, manuals, emails, PDFs, and other unstructured sources.
• Implement metadata, lineage, versioning, source traceability, vector and keyword indexes, and permission-aware retrieval.
• Establish automated data quality, reconciliation, schema validation, anomaly monitoring, isolation, encryption, and masking.
• Document source systems, transformations, data contracts, dependencies, runbooks, and production operations.

What you bring

• 5–8 years of hands-on data engineering, with 2+ years supporting AI, ML, search, analytics, or RAG.
• Strong Python and advanced SQL plus production ETL/ELT and orchestration experience.
• Hands-on experience with tools such as Airflow, Dagster, dbt, Spark, Kafka, PostgreSQL, Snowflake, or Databricks.
• Knowledge of vector databases, embeddings, search indexes, data modelling, lineage, observability, and secure integration patterns.
• Production experience across cloud, private cloud, hybrid, or on-premises environments; regulated-data experience is preferred.

You will thrive here if: you know enterprise AI quality depends as much on data quality, permissions, metadata, lineage, and reliability as it does on model capability.

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The role

Work between applied AI research and production software engineering, moving use cases from rapid prototype to reliable, secure enterprise deployment.

What you will do

• Build private AI workflows for retrieval, document processing, extraction, classification, summarization, recommendations, and workflow assistance.
• Implement secure RAG and task-specific SLM solutions over enterprise documents, databases, policies, contracts, tickets, and knowledge stores.
• Develop model routing across rules, specialist SLMs, retrieval models, and larger LLMs.
• Fine-tune, adapt, quantize, and optimize models for customer terminology, tasks, and infrastructure.
• Build validation, fallback, retries, timeouts, human escalation, evaluation, citations, version controls, and observability.
• Contribute reusable orchestration components, connectors, evaluators, guardrails, and deployment components.

What you bring

• 4–7 years in software engineering, ML, NLP, or applied AI, including 2+ years with LLMs, SLMs, RAG, or orchestration.
• Strong Python, software engineering, PyTorch, Hugging Face, structured outputs, function calling, and tool use.
• Experience with retrieval, orchestration frameworks, model serving, fine-tuning, quantization, and inference optimization.
• Production skills across FastAPI, APIs, event-driven services, Docker, Kubernetes, CI/CD, MLOps or LLMOps, tracing, and monitoring.
• Demonstrated production deployment experience; work with enterprise APIs or customer-facing AI products is preferred.

You will thrive here if: you experiment quickly while maintaining the discipline needed for secure, observable, testable, and maintainable enterprise systems.

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The internship

Support B2B enterprise marketing for the US market while gaining hands-on experience in content strategy, SEO, website optimization, social media, demand generation, and enterprise technology positioning. You will work closely with leadership and receive mentorship from an experienced marketing leader and former CMO.

What you will do

• Create and optimize blogs, website pages, case studies, social posts, and marketing assets for enterprise audiences.
• Support keyword research, on-page SEO, content optimization, and website improvements.
• Help improve website messaging, user experience, and conversion journeys.
• Manage and strengthen our presence across relevant professional social platforms.
• Research competitors, industry trends, enterprise AI topics, and US-market opportunities.
• Develop thought leadership around AI, enterprise transformation, and emerging technologies.
• Analyze marketing metrics and identify opportunities to improve performance.
• Collaborate with founders and leadership on campaigns and growth initiatives.

What you bring

• Excellent written and verbal communication and the ability to create clear, engaging, professional content.
• Strong interest in digital marketing, B2B technology marketing, artificial intelligence, and emerging enterprise technology.
• Basic understanding of SEO, websites, social media, and digital marketing concepts.
• Strong research skills, attention to detail, creativity, and a willingness to experiment and learn.
• The independence and ownership needed to contribute in a fully remote startup environment.
• Exposure to Legal, Consumer Goods, Retail, Technology, SaaS, Consulting, or Enterprise Software is helpful.

What you will learn: how an enterprise technology company builds its brand, reaches US buyers, shapes content for enterprise buying journeys, and turns SEO, content, web, and social activity into demand.

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The internship

Work closely with founders and leadership on enterprise AI strategy, competitive intelligence, market positioning, sales enablement, and partnership initiatives. You will help turn technology and market research into practical decisions and customer-facing assets.

What you will do

• Conduct deep competitive research on enterprise AI companies, platforms, products, and solutions.
• Analyze competitor positioning, technology approaches, customer use cases, and go-to-market strategies.
• Study industry solutions and help create prototype scripts and solution demonstrations.
• Build sales pitch decks, solution presentations, competitive battlecards, and customer-facing materials.
• Research potential technology partners, ecosystem players, and strategic alliances.
• Support partner and alliance strategy and identify emerging AI trends and market opportunities.
• Prepare structured insights and recommendations for founder and leadership discussions.

What you bring

• Excellent written and verbal communication plus strong analytical, research, and problem-solving abilities.
• The ability to understand technology concepts and convert them into concise business insights.
• Strong interest in AI, enterprise software, startups, consulting, strategy, or technology markets.
• The ability to create structured presentations and polished business documents.
• Strong ownership, attention to detail, curiosity, and the ability to work independently in a fast-moving remote environment.
• Exposure to business strategy, consulting, product management, AI, SaaS, or enterprise software is helpful.

What you will learn: how enterprise AI companies compete, position solutions, build customer narratives, support sales conversations, and develop technology partnerships in global markets.

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The internship

Support business development for the US enterprise market while learning prospecting, outreach, qualification, pipeline management, and AI solution positioning. You will work directly with founders who bring more than 20 years of industry experience.

What you will do

• Research US enterprise organizations and identify relevant prospects and target accounts.
• Identify decision-makers across technology, AI, data, innovation, and business teams.
• Support personalized outbound outreach through email, LinkedIn, and other channels.
• Understand customer challenges and connect them with relevant enterprise AI solutions.
• Maintain accurate prospect information and sales activity tracking.
• Support founders with prospect research, sales preparation, and customer conversations.
• Research AI market trends, industries, buying journeys, and enterprise use cases.

What you bring

• Excellent written and verbal communication and the confidence to communicate with US-market professionals.
• Strong curiosity, a desire to learn enterprise sales, and an interest in AI, technology, and startups.
• A basic theoretical understanding of sales, marketing, or business development.
• Strong research skills, attention to detail, consistency, and a self-driven approach.
• The ability to work independently in a remote environment and according to the US Eastern Time zone.

What you will learn: how enterprise technology sales works in the US, including account research, decision-maker mapping, outreach strategy, qualification, pipeline discipline, and enterprise buying processes.

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The internship

Work directly with founders on strategic initiatives across startup programs, government ecosystems, grants, technology partnerships, AI-market research, and business growth. The role offers broad exposure to how an early-stage enterprise AI company is built and scaled.

What you will do

• Research government programs, grants, accelerators, startup opportunities, and strategic ecosystems.
• Support registrations and onboarding for GeM and other relevant platforms.
• Prepare grant applications, proposals, presentations, and supporting documents.
• Research and apply for technology credits and startup programs from AWS, Microsoft, Google Cloud, NVIDIA, and other partners.
• Track program requirements, application status, deadlines, and follow-up actions.
• Support partnerships with technology providers, industry bodies, and ecosystem organizations.
• Conduct research on AI trends, startup ecosystems, and enterprise opportunities.
• Handle high-priority, ad-hoc strategic initiatives requiring founder-level support.

What you bring

• Excellent written and verbal communication and strong research and analytical skills.
• The ability to prepare professional documents, presentations, proposals, and business communications.
• Strong curiosity about startups, artificial intelligence, partnerships, and emerging technology.
• An organized, proactive approach with attention to detail, follow-through, and ownership.
• Comfort working directly with founders and senior professionals in a fully remote startup.
• Exposure to startups, consulting, strategy, government programs, AI, SaaS, or enterprise software is helpful.

What you will learn: how early-stage AI companies navigate startup and government programs, build ecosystem partnerships, secure technology support, and execute strategic priorities with limited resources.

Apply for this internship