Job Search Results for AI engineer

Principal Software Engineer ? Generative AI - Contract to Hire

Our Healthcare Insurance Client is looking to hire a Principal Software Engineer - Generative AI. This position is remote work from home and will convert to an FTE position after 1 year. Annual... More salary upon conversion to FTE will be $215-260K. We are seeking a Principal Software Engineer to lead the design and delivery of enterprise-scale Generative AI solutions that power next-generation healthcare experiences. This role goes beyond hands-on coding?you will define technical strategy, establish architectural standards, and guide multiple teams in building secure, scalable, and cost-effective AI platforms across AWS (Bedrock) and Google Cloud (Vertex AI API). You will partner with product, security, compliance, and enterprise architecture teams to ensure solutions meet business objectives, regulatory requirements, and performance goals.The ideal candidate combines deep technical expertise with leadership skills?capable of influencing cross-org architecture decisions, mentoring engineering teams, and driving responsible AI practices in production.Key Responsibilities?Lead end-to-end platform delivery of highly scalable, secure AI services and applications leveraging AWS Bedrock (Foundation Models, Knowledge Bases, Agents, Guardrails) and Google Cloud Vertex AI (Gemini via Vertex AI API, Agent Builder, Vector Search, Search & Grounding).?Architect and implement Retrieval-Augmented Generation (RAG) solutions, integrating proprietary data from sources like Amazon S3 and Google Cloud Storage/BigQuery, and using Bedrock Knowledge Bases and/or Vertex AI Search & Grounding with Vector Search to improve relevance and accuracy.?Design solutions that use function/tool calling and multimodal input processing across both platforms (e.g., Bedrock Converse API and Vertex AI API), and integrate with enterprise systems via secure, well-governed service interfaces.?Define reference architectures, golden paths, and guardrails for multi-cloud AI development; drive adoption through design reviews, Architecture Decision Records (ADRs), and clear SLOs for latency, resiliency, safety, and cost.?Champion Responsible AI: implement safety filters, policy-enforced guardrails, data minimization, and red-teaming playbooks using capabilities such as Bedrock Guardrails and Vertex AI Safety.?Partner with Security, Privacy, and Legal to ensure compliance with HIPAA/PHI, encryption, access control, and continuous auditability.?Build evaluation and observability frameworks (groundedness, hallucination rates, relevance, toxicity, drift, cost attribution, A/B testing) and drive FinOps practices (prompt optimization, caching, batching, model selection) across clouds.?Mentor Staff/Senior Engineers, elevate coding and design standards, and foster a culture of learning (design clinics, brown bags, communities of practice).?Monitor the rapidly evolving AI landscape (LLMs, agent frameworks, platform features) and translate advances into actionable platform strategy and roadmaps.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

Data Scientist/ AI Backend Engineer ? INTL India

A global electronics and semiconductor manufacturing company is seeking 4 strong AI Engineers to join their team to support ongoing digital transformation initiatives. This is an immediate need, a 12... More month contract opportunity with the possibility of extensions and will sit remotely in India. Candidates should also have experience working with Azure ecosystem tools and services, including CI/CD workflows and data services. The role involves developing production APIs, orchestrating AI workflows, integrating enterprise data, and operationalizing AI solutions. Candidates should have expertise in at least one AI framework, adapt quickly to new AI methods, and possess strong collaboration and communication skills for agile, global teamwork. Core Requirements (Must Have) Backend Engineering ?Strong Python development experience building production-grade services (code quality, testing, debugging, performance). ?Proven experience building and maintaining FastAPI services, including async execution patterns, API design and error handling. ?Basic experience with CI/CD practices and Git, with the ability to understand and work with CI/CD workflows in the Azure ecosystem. RAG ?Demonstrated experience building RAG systems end to end in real implementations. ?Experience implementing RAG ingestion pipelines, including document ingestion and parsing, chunking, embedding generation, and indexing. ?Hands-on experience with retrieval and search techniques used in RAG, such as hybrid search and vector-based retrieval, and improving retrieval quality through tuning and evaluation. AI Agents Framework ?Expertise in at least one AI framework, for example LangChain, Microsoft Agent Framework, Semantic Kernal, Google ADK ?Good understanding of agentic architecture patterns such as tool or function integration, state management, and orchestration Data and Storage ?Experience with SQL data systems, particularly Microsoft SQL Server, Proficient in writing, validating, and optimizing SQL queries, as well as ingesting data into SQL Server databases. ?Familiarity with NoSQL data handling, preferably Azure Cosmos DB, with exposure to managing unstructured or semi-structured data. Ways of Working ?Strong communication and collaboration skills, and comfortable working agilely with cross-functional teams across the globe.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

Mexico - Fullstack Agentic AI React/Java Developer

A fortune 50 client of Insight Global in the Retail space is seeking a strong Full Stack (react/Java) AI Agentic Engineer to join their application engineering team and work across frontend, backend,... More cloud, automation, and observability layers. This role will focus on enhancing a new React-based portal, building financial validation automation pipelines, and introducing agentic AI capabilities to improve developer productivity and system intelligence. The engineer will work closely with product, financial, and engineering teams on a customer-facing portal used by internal financial users and other product teams, with potential for user feedback and interaction.More information:Frontend (FE): React, JavaScriptBackend (BE): Java, Spring Boot, Python, Groovy, JUnitBuild Tools: Maven, Node.js, NPMCloud Platforms: Kubernetes, Google Cloud, AzureCI/CD: Jenkins, GitHub Actions, DockerDatabases: MongoDB, PostgreSQL, MySQL, DB2Automation Tools: Playwright, SeleniumMonitoring & Deployment Tools: Spinnaker, Grafana, TerraformOperating Systems: Linux, WindowsScripting: BashAI: GenAI, Agentic AI Compensation:$10-$20/HRWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

Senior Network Reliability Engineer

Insight Global is seeking a Network Engineer ? Reliability & Observability to support the quality, reliability, and lifecycle performance of large-scale AI network infrastructure. This role serves as... More a reliability engineering leader, responsible for building processes, data collection frameworks, and reliability metrics to improve network performance from initial deployment through ongoing operations.This position focuses on developing scalable processes, systems, tooling, and data pipelines that drive network observability and reliability. You will deliver automated 24x7 metrics as well as periodic reliability reporting for both internal stakeholders and external customers, ensuring visibility into network health, performance, and risk.This role is well-suited for experienced network operators who are passionate about reliability engineering and full-lifecycle software development, including quality assurance audits, circuit audits, periodic inspections, failure rate tracking, and root cause analysis. Ideal candidates bring a strong interest in both hardware (electronics and optics) and software development, and consistently leverage data to guide deployment decisions, operational improvements, and strategic sourcing.Experienced Site Reliability Engineers (SREs) with a strong networking background and a focus on observability and reliability are strongly encouraged to apply.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

AI Engineer ? Classifiers, Media Intelligence & Voice R&D

Studio produces and manages massive volumes of AI-generated media?avatars, images, audio, and video. We?re hiring an AI Engineer to build the ?intelligence layer? on top of that content: classifying... More it, tagging it, organizing it, and making it searchable and useful at scale.This role also includes meaningful R&D work in AI voice/audio and image intelligence that will directly shape next-generation product capabilities. You?ll operate at the intersection of applied ML, production infrastructure, and product impact?taking models from research and prototypes all the way into reliable production APIs.Responsibilities:- Design, train, and deploy classification models across Studio?s content pipeline (style detection, quality scoring, semantic categorization, filtering, moderation signals)- Build automated tagging and organization systems for our media library: - attribute extraction and feature detection - clustering and similarity grouping - intelligent search and discovery signals- Create and maintain training data pipelines: - dataset curation and QA - annotation workflows and tooling - active learning loops to improve labeling efficiency and model performance- Lead voice/audio R&D by evaluating frontier voice models (TTS, voice cloning, audio synthesis)and prototyping integrations and define a practical path from research ? production features- Research and prototype image intelligence capabilities relevant to avatars and media tools: face/body analysis, pose estimation, image-to-image consistency and visual similarity, and style understanding- Build evaluation frameworks to track classifier accuracy and calibration as well as model drift and performance over time- Optimize inference for cost and latency (batching, quantization, caching, serving strategy)- Integrate with GPU infrastructure and ship models behind production APIs, with monitoring and operational disciplineWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

AI Program Manager

The Program Manager (PM) is the person who manages the studio. Not a single product -- a continuous innovation framework. They own intake, sprint cycles, stakeholder coordination, delivery cadence,... More scheduling, resource management, and onboarding/offboarding. They are the person who sees what the rest of the teamcan't because they operate at a higher altitude than any individual engagement. What makes this role different from a traditional project manager or scrum master isscope and judgment. The PM isn't managing a Gantt chart or running standup rituals for their own sake. They're managing a portfolio of concurrent experiments, each ona 4-6 week cycle, with shifting stakeholder priorities, variable team capacity, andconstant intake of new ideas. The work is inherently unpredictable -- the PM createsthe structure that lets the team operate within that unpredictability instead of beingconsumed by it.In a traditional consulting model, coordination gets distributed across engagementmanagers, resource managers, PMO staff, and delivery leads. In the AI Studio pod, it's one person -- because the team is small enough that one person can hold the full context, and splitting it would create more handoff friction than it eliminates.Core ResponsibilitiesIdea Intake and Pipeline Management -Own the intake process for new ideas, requests, and problem statements from stakeholders. -Triage and prioritize incoming requests against current capacity and strategicalignment -Maintain a visible pipeline of what's been proposed, what's been accepted, what's in progress, and what's been delivered or shelved-Ensure nothing falls through the cracks -- every idea gets a response, even if the response is "not now"Delivery Rhythm and Sprint Coordination-Own the sprint cadence: planning, execution, review, retrospective-Manage the backlog -- not just maintaining a list, but actively grooming it with thevStrategist and Forward Deployed Engineers to ensure work items are welldefined and sequenced-Track progress against sprint commitments and surface risks early when things are going off track-Coordinate handoffs between FDS (problem framing) and FDEs (solution building) to ensure nothing gets lost in translation-Stakeholder Coordination and CommunicationServe as the primary operational point of contact for stakeholders -- status updates, schedule coordination, escalation management- Produce regular status visibility: what the team is working on, what's beendelivered, what's coming next, where the risks are-Coordinate demo scheduling and stakeholder review sessions-Manage expectations proactively -- if a timeline is slipping or scope needs to change, stakeholders hear it from the PM before they have to askTeam Operations-Own scheduling and resource management -- who's working on what, when, and for how long-Manage onboarding for new team members joining an engagement-Manage offboarding and knowledge transfer when team members rotate off-Coordinate across multiple concurrent engagements when managing more than one pod-Handle the operational logistics that FDEs shouldn't have to think about -- tool access, environment setup, meeting logistics, documentation standardsOperational Visibility and Risk Surfacing-Maintain a clear, always-current picture of what's happening across the pods-Surface risks, blockers, and dependencies before they become problems -- don't wait for someone to ask-Track metrics that matter: cycle time, throughput, stakeholder satisfaction, idea to-delivery velocityProvide the data and context that leadership needs to make decisions about capacity, investment, and scalingWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

Systems Engineer

As a Systems Engineer, you'll be part of a high-performance team driving innovation in AI, cloud, and enterprise data centers. Your work will support mission-critical infrastructure and contribute to... More the sustainable growth of the Internet.We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .Less

AI Data Scientist? RAG, SLM & Distributed Data (Spanner)

We are looking for a mid-level AI Engineer with hands-on experience in Retrieval-Augmented Generation (RAG)systems, Small Language Models (SLMs), and distributed databases such as Google Cloud... More Spanner.You will work closely with senior engineers and product teams to build scalable AI systems that integrate retrieval pipelines, language models, and distributed transactional infrastructure. This role is ideal for someone who has already built AI features in production and wants to deepen their expertise in applied GenAI systems.Contract: Through the end of the year What You?ll Be Working On?Production RAG features.?Distributed knowledge storage backed by Spanner.?AI-powered APIs and services.?Retrieval optimization and evaluation.?Model cost/latency optimization.________________________________________Technical Skills SnapshotCategorySkillsAIRAG pipelines, Embeddings, Prompt engineeringModelsSLM/LLM integrationDatabaseSpanner schema design, SQL optimizationBackendPython, APIsCloudGCPWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

Senior Network Engineer

A healthcare client is seeking a Senior Network Engineer to sit fully remote. The Senior Network Engineer (SaaS Platform, GCP Focus) is responsible for architecting, implementing, and optimizing... More cloud-native networking for a multi-tenant SaaS platform built primarily on Google Cloud Platform with integrations into Azure. This role designs secure, resilient, and scalable connectivity?including VPCs, firewalls, load balancers, Cloud Interconnect, and landing zones?while codifying infrastructure through IaC and integrating network changes into CI/CD pipelines. Working closely with platform engineering, DevOps, and security teams, the engineer leads networking patterns for Kubernetes/GKE, service mesh (Istio), microservices traffic management, and hybrid connectivity, enforcing Zero Trust, segmentation, encryption, and compliance across major frameworks. The position provides advanced support for complex issues, drives automation, observability, and best practices, and contributes technical leadership to ensure high availability, performance, and cost-efficient cloud operations.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

GenAI Engineer / Forward Deployed Engineer

An AI solutions and consulting firm is seeking a GenAI Innovation Engineer / GenAI Forward Deployed Engineer for greenfield product development. This firm is one of the most reputable AI... More consultancies in the country. They are disrupting the AI industry not only by building native AI solutions for their clients, but also by bringing together some of the most creative, outside the box thinkers and passionate forward deployed engineers into their internal ?Incubator.? Think of an incubator filled with the most elite, AI first builders in the game. They take immense pride in who they hire because their culture is truly special and unique?and being part of it is something people work hard to earn.In this role, you will build industry specific AI solutions (Healthcare, BFSI) from scratch. The goal is to create reusable frameworks that the company can co invest in with pilot customers. This team is effectively building a ?startup? within the organization to serve as the GenAI brain trust for the entire company.The work will involve frequent client meetings, solving business problems with AI, brainstorming new AI capabilities to take to market, prototyping, and engaging in energizing technical conversations. Day to day responsibilities will include approximately 60% hands on engineering (building production grade AI/ML pipelines and reusable frameworks), 20% research, and 20% architecture and strategy?designing for scalability and transforming specific client solutions into reusable products.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less