• Design and develop agentic AI solutions using Microsoft AI technologies and services. • Build and configure intelligent AI agents capable of delivering natural, conversational user experiences. • Integrate AI agents with enterprise systems, business workflows, and Microsoft platforms. • Collaborate with internal stakeholders to identify opportunities and define solution approaches. • Evaluate emerging AI capabilities and recommend practical applications aligned to business objectives. • Develop proof-of-concepts, prototypes, and production-ready AI solutions. • Support the design and implementation of AI-enabled business processes and automation initiatives. • Provide technical guidance on AI architecture, governance, security, and best practices. • Create and maintain technical documentation, implementation plans, and solution recommendations.

Role Description We're building the next generation of competitive intelligence for B2B SaaS companies. While most CI tools dump overwhelming data on users, we're creating connected storylines that predict competitor moves and deliver actionable strategic insights. Tasks - Product Discovery & Strategy - Conduct deep customer discovery to validate/refine our ICP and value proposition - Transform our categorization framework from "urgency + impact" to "connected storylines over time" - Design the product experience that makes competitive intelligence feel like having a strategic analyst on your team - Define and measure product-market fit metrics - AI/Data Product Development - Evolve our single-prompt AI analysis into multi-stage reasoning that connects data points across time - Design pattern recognition features that surface "what this means" not just "what happened" - Work with our tech co-founder to improve insight quality through better prompting and data models - Build feedback loops that make our AI smarter over time - Go-to-Market & Revenue - Develop product-led growth strategies to convert trial users to paying customers - Create in-product experiences that demonstrate value within first 24 hours - Help articulate positioning against both manual research and traditional CI tools Qualifications - 3-5 years B2B SaaS product management experience - preferably at early-stage companies (seed to Series A) - Data product background - you understand how users consume insights, analytics, or intelligence tools - Customer discovery obsession - you've personally conducted 50+ customer interviews and can quickly identify problem-solution fit - Comfortable with AI products - understand LLM capabilities, prompt engineering, and how to build products that get smarter over time - Builder mentality - you can move fast, make decisions with incomplete information, and iterate based on feedback Benefits - 15-25% equity (based on experience and time commitment) - 4-year vesting with 1-year cliff - Potential for salary once we reach revenue milestones - Equal co-founder decision-making authority on product direction Working Style - Part-time acceptable initially (20-30 hrs/week) with path to full-time - Remote-friendly (European time zones preferred) - Collaborative culture with tech + commercial co-founders Stage & Funding - Pre-revenue, post-MVP - Bootstrapped currently; potential fundraising path after early revenues - Small group of test users providing feedback

Role Description We are seeking a Sr Agentic AI Engineer to build reusable agentic platform capabilities for smart-home experiences. This role will help Vivint move from AI-assisted workflows and LLM-powered features toward systems that reason over home context, use tools, maintain memory, evaluate outcomes, and operate safely. In this role, you will be responsible to: - Build agent orchestration, tool registry, memory, RAG/retrieval, and prompt/version management systems. - Develop replay, debugging, tracing, observability, and evaluation patterns for agentic workflows. - Define safety gates, action boundaries, grounding strategies, and customer-trust mechanisms for agents. - Create reusable agent primitives for Home Highlights, search, summaries, automations, personalization, and future smart-home use cases. - Partner with AI Platform, Product, Analytics, Privacy, and Engineering to productionize agentic experiences. - Mentor teams on agent architecture, retrieval quality, memory design, and evaluation practices. Qualifications - Bachelor’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 5+ years of professional experience in software development, applied science, or ML engineering; or - Master’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 2+ years of professional experience in software development, applied science, or ML engineering. - Experience building LLM, RAG, agentic, or tool-calling systems in production or near-production environments. - Strong Python and backend engineering skills. - Experience with prompt engineering, retrieval, vector stores, evaluation, and cloud deployment. - Familiarity with distributed systems, APIs, observability, and CI/CD workflows. - Excellent problem-solving and cross-functional communication skills. Requirements - Experience with Google ADK, LangGraph, LangChain, OpenAI Agents SDK, Anthropic, LlamaIndex, or similar frameworks. - Experience with AI memory systems, workflow orchestration, agent tracing, or replay/debugging tools. - Experience building consumer-facing AI products, assistants, automations, or recommendation systems. - Experience with privacy, safety, grounding, or evaluation for LLM-powered products. - Experience with smart home, IoT, edge/cloud, or real-time event systems. Benefits - Paid holidays and flexible paid time away. - Employee/Friends/Family Discounts. - Medical/dental/vision/life coverage & 24/7 Medical Hotline. - 401(k) + Employer Match. - Employee Resource Groups.

Role Description AI Engineer will design and deliver AI based solutions for a web based workflow application for the Federal Government. You will learn customer business workflows, refine business use cases that can leverage AI enablement and build cutting-edge AI solutions that directly result in productivity increase, enhanced user experience and cost savings. You will work with cross-functional teams to develop AI-enabled features, build Proof of Concept (POC) for agentic solutions and translate it into Production Ready systems. You will utilize latest AI tools to develop AI chatbots, Agentic workflows, intelligent dashboards and application assistants. Qualifications - Bachelor’s degree in Computer Science, Data Science, Mathematics, or related STEM field - Minimum 5+ years relevant experience - Master's degree preferred Requirements - The ability to obtain, maintain and access classified information at the client level - 5+ years of experience with software implementation across all aspects of the SDLC - 1+ years hands-on experience developing generative AI / LLM-powered applications - Expert-level proficiency in Python; strong JavaScript proficiency - Experience with RESTful APIs and integrating AI/LLM APIs (OpenAI, Bedrock) - Experience with prompt engineering techniques (few-shot, chain-of-thought, system prompts) - Experience with LLM orchestration frameworks such as LangGraph, Agno, CrewAI, or similar - Experience with RAG architectures, agentic patterns, and vector databases - Strong understanding of ML fundamentals (supervised/unsupervised learning, model evaluation, feature engineering, NLP) - Experience with data analysis and ML libraries (pandas, NumPy, scikit-learn, or equivalent) - Experience with containerization (Docker) and at least one major cloud platform (AWS, Azure, or GCP) - Proficiency with Git version control and CI/CD pipelines - Strong written and verbal communication skills Preferred - Experience with vector databases (OpenSearch, pgvector) and embedding models - Experience with AWS GovCloud, AWS Bedrock, or Azure OpenAI Service Key Duties and Responsibilities - Design and develop AI-enabled features for web-based workflow applications using LLMs, GenAI, and agentic AI patterns - Build RAG pipelines using application data, policy documents, user manuals, help cards and business process publications - Implement agentic workflows using orchestration frameworks (LangGraph, Agno, Haystack, CrewAI) for AI based application assistants - Implement prompt engineering strategies and integrate AI/LLM APIs (OpenAI, Bedrock) - Architect full-stack AI features with reliable API integrations, error handling, and graceful degradation - Establish LLM observability (cost, latency, quality) and responsible AI guardrails (hallucination detection, output validation, CUI safeguards) - Maintain full-stack applications (including Web Application development using modern technologies such as React, TypeScript, NodeJS, Python and Java) - Address security vulnerabilities and ensure compliance with cybersecurity standards - Participate in code reviews, CI/CD pipelines, and collaborative development workflows - Document technical implementations and stay current with AI and ML developments Physical Demands The physical demands described here are representative of those that must be met by an employee to perform successfully the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this job. - Work is primarily performed in an office environment - Regularly required to sit - Regularly required to use hands to finger, handle, or feel, reach with hands and arms to handle objects and operate tools, computer, and/or controls - Required to speak and hear - Occasionally required to stand, walk and stoop, kneel, crouch, or crawl - Must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds - Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus - Exposed to general office noise with computers, printers, and light traffic Benefits - Medical - Dental - Vision - 401(k) - Family Planning/Fertility Assistance - STD/LTD/Basic Life/AD&D - Legal-Aid Program - Employee Assistance Program (EAP) - Paid Time Off (PTO) – (11) Federal Holidays - Training and Development Opportunities EOE Including Disability/Vet The estimated pay range for this role is $100k to $125k, with the final offer contingent on location, skillset, and experience. Your application submission will be considered for all potential employment opportunities with Chickasaw Nation Industries (CNI).