Data-Driven Commercialization
AI Engineer, Forward Deployed
Location
Pennsylvania
Posted
4 days ago
Salary
0
Seniority
Senior
Job Description
AI Engineer, Forward Deployed
IntegriChain
• Join the Engineering team as a Forward Deployed AI Engineer • Act as a resident AI expert within Individual Departments/Business Units • Function as engineer, solutions architect, and internal consultant • Design and build AI-powered application features using LLM APIs • Create agent loops that can select tools, execute actions, and summarize results • Develop chat-based analytical experiences connecting user questions to backend tools • Improve prompt quality and manage context windows • Use advanced AI coding tools to accelerate development while maintaining code quality • Embed directly with internal departments to identify where AI can drive efficiency • Lead the end-to-end implementation of AI solutions within operational contexts • Provide hands-on troubleshooting and support for AI models running in production mode
Job Requirements
- 5+ years of software engineering or data application development experience
- Demonstrated ability to work in an embedded, consultative capacity
- Strong understanding of LLM application patterns
- Experience creating agents that can select tools
- Hands-on experience with advanced AI coding tools such as Cursor, Claude, or GitHub Copilot
- Strong Python development skills
- Experience designing chat-based user interfaces
- Understanding of token management and LLM cost drivers
- Experience integrating AI applications with data platforms or APIs
- Ability to work cross-functionally and communicate technical concepts to non-technical stakeholders
Benefits
- Excellent and affordable medical benefits
- Student Loan Reimbursement
- Flexible Paid Time Off
- Paid Parental Leave
- 401(k) Plan with a Company Match to prepare for your future
- Robust Learning & Development opportunities including over 700+ development courses free to all employees
Related Guides
Related Job Pages
More AI Engineer Jobs
• Lead the technical vision, design and operation of the company’s AI gateway and core AI enablement platform • Define and implement standards for approved AI providers, models, data sources, shared tools and usage patterns • Build and maintain controls for access, routing, policy enforcement, auditability and financial operations reporting across AI usage • Implement required identity, logging and related controls in alignment with broader IT and security standards • Partner through the AI Enablement Council to translate business needs into scalable platform capabilities and guardrails • Support onboarding, documentation and internal enablement for business teams using approved AI tooling • Evaluate gateway platforms and ecosystem capabilities to improve flexibility, governance and business value • Drive reliable platform operations, issue resolution and continuous improvement across the AI environment
Principal AI Engineer
Exact SciencesExact Sciences is a publicly-traded molecular diagnostics firm focusing on early detection and prevention methods for some of the most life-threatening forms of cancer. Based in Ma
• Lead in the execution of the strategic direction for ML, NLP, LLM, and algorithm development within a world-class AI ML team, working closely with well-renowned experts in AI/ML modeling, ML engineering, data science, and data engineering • Partner with AI leadership to identify opportunities to leverage AI technologies to improve efficiency, productivity, and innovation • Collaborate closely with business stakeholders, data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems • Partner on the execution of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications • Complete the development and deployment of AI models and algorithms to solve complex problems • Ensure the robustness, scalability, and performance of AI systems and solutions • Stay updated on advancements in AI research and technology to guide initiatives • Foster a culture of innovation, collaboration, and continuous learning within the team • Coach, support, and provide mentorship for team members • Ensure stakeholder needs are met through effective communication and collaboration • Promote understanding of AI capabilities and limitations across the organization • Champion ethical AI practices and ensure compliance with regulatory standards • Address issues related to data privacy, security, and biases in AI systems • Develop policies that promote transparency and accountability in AI applications.
AI Architect
AOT TechnologiesBuild business apps swiftly with our low code development platforms, ably supported by bespoke development services.
• Architect and develop production-grade agentic AI applications using modern agent frameworks and orchestration tools • Design and implement tool calling/function calling patterns that integrate LLMs with LOB APIs, databases, enterprise applications, and external services • Lead LLM application architecture decisions, including prompt engineering, context management, RAG pipelines, vectorization, embeddings, and model evaluation • Manage memory and state in complex agentic systems across multi-turn, multi-agent workflows • Build and maintain scalable cloud infrastructure on Azure, AWS, or GCP, applying CI/CD, logging, monitoring, error handling, and secure deployment best practices • Collaborate with full-stack teams to integrate AI capabilities into end-to-end solutions • Contribute to the ongoing evolution of AOT's AI practice, tooling, and standards
AI Software Engineer
Finite StateFinite State is a computer and network security company that is on a mission “to protect the devices that power our modern lives.” The company strives to foster an empathetic,
Role Description We’re looking for a Senior Full-Stack Software Engineer with deep expertise in Next.js, TypeScript, PostgreSQL/Supabase, and AI-assisted development to design, build, and deliver the scalable, secure systems behind our cybersecurity platform. This is a hands-on, product-focused role for an engineer who: - Thrives at the intersection of secure software engineering, data-heavy systems, and product innovation - Is fluent in AI tooling (Cursor, Devin, Copilot, etc.) and knows how to turn them into real velocity — not toys - Can design full-stack solutions, think strategically about risk and performance, and help us move business logic closer to the data layer (Postgres + Supabase) What You’ll Do - Full-Stack Development: Build and maintain secure, scalable web applications using Next.js/React, TypeScript, and Node – backed by PostgreSQL on Supabase (and AWS RDS during migration). Own features end-to-end from UI to database. - Database-Centric Application Logic: Design and implement business logic close to the data using Postgres functions, views, triggers, Row-Level Security (RLS), and Supabase Edge Functions, minimizing unnecessary middleware and enabling high performance and strong data isolation. - AI-Accelerated Development: Treat tools like Cursor, Devin, GitHub Copilot, and agent frameworks as core parts of your workflow. You'll use them to scaffold and refactor full-stack features, generate and evolve schemas, migrations, and RLS policies and build internal agents that automate repetitive engineering tasks and glue systems together. - Application Security First: Embed security best practices into every layer of development — from secure coding and dependency management to data protection and authentication/authorization (Supabase Auth, OAuth2/OIDC, SSO). Collaborate with security researchers to ensure features align with threat models. - Product Collaboration: Work hand-in-hand with product managers and designers to translate customer pain points into impactful, intuitive features. Participate in product discovery and help shape roadmaps with a strong technical and data-informed perspective. - Architect & Scale: Design and optimize API contracts, edge endpoints, and event flows using Next.js (server components, API routes) and Supabase (Edge Functions, real-time). Consider performance, resiliency, and multi-region deployment (read replicas, data partitioning) as first-class concerns. - Data Expertise: Model and optimize relational data in PostgreSQL for large, multi-tenant workloads. Own indexing strategies, query performance, and data partitioning approaches to support 10x–30x growth in customers and data. - Security-Integrated DevOps: Support automated testing, CI/CD pipelines, database migrations, and vulnerability scanning throughout the development lifecycle. Work closely with infrastructure engineers on Supabase + AWS environments, observability, and performance tuning. - Mentorship & Collaboration: Provide guidance and thoughtful code reviews to peers, fostering a culture of quality, security, and ownership. Help raise the bar on full-stack, data-centric, and AI-native engineering practices. - Continuous Learning: Stay ahead of trends in AI-assisted engineering, agentic systems, application security, Next.js, and modern Postgres/Supabase practices, and share what you learn with the team. Qualifications - Senior Full-Stack Engineer with experience building and shipping production web apps using Next.js/React, TypeScript, PostgreSQL, and a Node-based backend - AI-native developer who regularly uses AI-assisted dev tools (e.g., Cursor, Copilot, Devin) to move faster, improve code quality, and explore design options, and knows when to verify output - Strong backend and data modeling skills in Postgres; experience with Supabase (Auth, RLS, Edge Functions, migrations) or similar Postgres-based platforms is a plus - Security-conscious engineer with a solid understanding of secure web application development, authentication/authorization, and modern security best practices; familiarity with software supply chain security or interest in learning quickly - Experience deploying and operating applications in the cloud (ideally AWS), with working knowledge of Docker, CI/CD, and modern managed or serverless platforms - Product-minded and collaborative, balancing technical rigor with user and business needs, caring about testing and maintainability, and communicating clearly in a remote, cross-functional team Your 90-Day Success Path - 30 Days: Ship small full-stack features in our Next.js + Supabase stack; learn our security and data architecture; demonstrate effective use of AI tools + agentic workflows in your day-to-day work. - 60 Days: Own and deliver secure, high-impact features end-to-end; contribute to schema and API design; help refine patterns for RLS, migrations, edge functions, and internal AI/agent tooling. - 90 Days: Lead new initiatives, drive improvements in performance and security posture, shape our full-stack and AI-native architecture, and mentor peers on Next.js, Supabase, and AI-accelerated development. Our Tech Stack - Languages: TypeScript, JavaScript, Python - Frontend: Next.js, React - Backend / Platform: Supabase (PostgreSQL, Auth, Edge Functions, Storage), Node/TypeScript services - Data: PostgreSQL (Supabase + AWS RDS during migration), Redis - Auth & Security: Supabase Auth, OAuth2/OIDC, GitHub, Trivy, Snyk - Infrastructure: AWS, Docker, Kubernetes (for supporting services), modern CI/CD - AI Tools: Cursor, Devin, GitHub Copilot, and modern agent frameworks where appropriate Benefits - Investment: We offer learning stipends to support your professional development - Equity: We offer equity so you can share in our growth and success - Help solve some of the most pressing cybersecurity challenges facing connected device manufacturers and the millions of people who depend on them Compensation Our salary ranges are categorized into two tiers based on geographic location: - Tier 1 (San Francisco, New York, Seattle): $227,000 - $270,000 - Tier 2 (All Other Locations): $181,000 - $216,000 The final base salary will be determined by experience, skill set, and specific location. In addition to base pay, this role is eligible for equity and benefits. Company Description At Finite State, we're on a mission to secure the connected world. Our platform empowers product security teams to detect vulnerabilities, manage software supply chain risks, and ensure compliance across complex device ecosystems. From IoT to critical infrastructure, we provide unparalleled visibility into firmware and software components, helping organizations protect their products and customers. - We move with urgency and intent — we’re transparent, own outcomes, put customers first, speak up, and learn fast — turning evidence into action. - CLARITY is how we move fast without breaking trust. - C: Customer first - Learn from customers. Ship with urgency. - L: Leverage - Outsource the routine. Own the result. - A: Agency - We take responsibility—end to end. - R: Results - Ship value. Improve fast. - I: Integrity - Speak up. Experiment boldly. Be kind. - T: Transparency - Clear context. Faster decisions. - Y: "Why" - Our mission—securing the connected products humanity depends on—is the reason Finite State exists. CLARITY is how we make that mission real, every day, at speed. Bold Innovation – We push boundaries, explore new ideas, and take initiative to solve complex problems. The Finite State platform brings visibility and control to the supply chains that create connected devices and embedded systems—all in a simple to use platform and at the scale manufacturers need to keep device production on time and on budget. We are proud to be an Equal Employer Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Finite State is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.




