ai technical lead

YO IT Consulting

<div>
 
 Job Title:
 
 Technical Lead
 
 
 
 Job Type:
 
 Contractor
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary
 
 
 
 We are seeking an expert Technical Lead to join our customer's team and drive innovation on a cutting-edge AI agent project. In this role, you will leverage your deep hands-on coding expertise to guide the design, development, and training of AI models. This is an exciting opportunity to work remotely with a dynamic, collaborative team on impactful technology initiatives.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead technical direction and architectural decisions for AI agent development using modern programming languages.
 </li>
 <li>
 Collaborate with cross-functional teams to design, build, and optimize scalable AI solutions.
 </li>
 <li>
 Write high-quality, production-level code in React, Python, Node.js, PHP, .NET, C#, or C++.
 </li>
 <li>
 Mentor and support team members, fostering a culture of technical excellence and collaboration.
 </li>
 <li>
 Develop, evaluate, and iterate on AI model training processes to enhance performance and accuracy.
 </li>
 <li>
 Ensure clear, concise, and effective written and verbal communication within the team and with stakeholders.
 </li>
 <li>
 Continuously research emerging trends in AI and software development to recommend improvements and drive innovation.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience developing with React, Python, Node.js, PHP, .NET, C#, or C++.
 </li>
 <li>
 Proven leadership experience guiding technical teams and projects to successful delivery.
 </li>
 <li>
 Strong expertise in training AI models and implementing machine learning solutions.
 </li>
 <li>
 Excellent written and verbal communication skills, with a passion for clarity and collaboration.
 </li>
 <li>
 Ability to take ownership of complex tasks and drive projects from ideation to completion.
 </li>
 <li>
 Self-motivated, proactive, and adaptable in a fast-paced remote environment.
 </li>
 <li>
 Experience working with distributed teams and agile development methodologies.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Exposure to multiple programming languages and willingness to learn new technologies.
 </li>
 <li>
 Prior involvement in AI agent or similar advanced technology projects.
 </li>
 <li>
 Experience working on customer-facing or client-driven teams.
 </li>
 </ul>
</div>

Technical Lead - Remote

YO IT CONSULTING

<div>Job Title: Technical Lead
Job Type: Contractor
Location: Remote
Job Summary:
We are seeking an expert Technical Lead to join our customer's team and drive innovation on a cutting-edge AI agent project. In this role, you will leverage your deep hands-on coding expertise to guide the design, development, and training of AI models. This is an exciting opportunity to work remotely with a dynamic, collaborative team on impactful technology initiatives.
Key Responsibilities:
<div><ul><li>Lead technical direction and architectural decisions for AI agent development using modern programming languages.</li></ul>
<ul><li>Collaborate with cross-functional teams to design, build, and optimize scalable AI solutions.</li></ul>
<ul><li>Write high-quality, production-level code in React, Python, Node.js, PHP, .NET, C#, or C++.</li></ul>
<ul><li>Mentor and support team members, fostering a culture of technical excellence and collaboration.</li></ul>
<ul><li>Develop, evaluate, and iterate on AI model training processes to enhance performance and accuracy.</li></ul>
<ul><li>Ensure clear, concise, and effective written and verbal communication within the team and with stakeholders.</li></ul>
<ul><li>Continuously research emerging trends in AI and software development to recommend improvements and drive innovation.</li></ul>
</div>Required Skills and Qualifications:
<div><ul><li>3+ years of hands-on experience developing with React, Python, Node.js, PHP, .NET, C#, or C++.</li></ul>
<ul><li>Proven leadership experience guiding technical teams and projects to successful delivery.</li></ul>
<ul><li>Strong expertise in training AI models and implementing machine learning solutions.</li></ul>
<ul><li>Excellent written and verbal communication skills, with a passion for clarity and collaboration.</li></ul>
<ul><li>Ability to take ownership of complex tasks and drive projects from ideation to completion.</li></ul>
<ul><li>Self-motivated, proactive, and adaptable in a fast-paced remote environment.</li></ul>
<ul><li>Experience working with distributed teams and agile development methodologies.</li></ul>
</div>Preferred Qualifications:
<div><ul><li>Exposure to multiple programming languages and willingness to learn new technologies.</li></ul>
<ul><li>Prior involvement in AI agent or similar advanced technology projects.</li></ul>
<ul><li>Experience working on customer-facing or client-driven teams.</li></ul></div></div>

Finaira

<div>
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineer, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives.
 
 
 
 Focus:
 
 End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Provide technical leadership, guidance, and mentorship to a team of AI Engineer
 </li>
 <li>
 Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production
 </li>
 <li>
 Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans
 </li>
 <li>
 Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing
 </li>
 <li>
 Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments
 </li>
 <li>
 Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation
 </li>
 <li>
 Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency
 </li>
 <li>
 Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth
 </li>
 <li>
 Act as a primary technical point of contact for stakeholders regarding AI solutions
 </li>
 <li>
 Hands-on contribution to critical code components, architectural design, and complex problem-solving
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What you will bring to the role:
 
 
 
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred
 
 
 </li>
 </ul>
 
 Experience:
 
 
 
 <ul>
 <li>
 8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras)
 </li>
 <li>
 Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving
 </li>
 <li>
 In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes)
 </li>
 <li>
 Strong architectural skills for building robust, scalable, and maintainable AI infrastructures
 </li>
 <li>
 Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services
 </li>
 <li>
 Excellent understanding of data engineering principles, data governance, and database technologies
 </li>
 <li>
 Ability to evaluate and make sound technical decisions on complex trade-offs
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Exceptional leadership, communication, and presentation skills, with the ability to influence and persuade stakeholders at all levels, including executive leadership
 </li>
 <li>
 Proven ability to think strategically and translate complex business challenges into innovative and impactful data science initiatives
 </li>
 <li>
 Strong mentoring and coaching skills, with a passion for developing the talents of junior team members
 </li>
 <li>
 Excellent collaboration and negotiation skills, with the ability to work effectively across diverse, cross-functional teams and build strong relationships
 
 
 </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Principal AI Engineer

<div>The Principal AI Engineer provides technical leadership and direction for a team of AI Engineer, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives. 
Focus: End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship
The difference you will make:<ul><li>
Provide technical leadership, guidance, and mentorship to a team of AI Engineer.</li><li>
Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production.</li><li>
Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans.</li><li>
Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing.</li><li>
Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments.</li><li>
Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation.</li><li>
Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency.</li><li>
Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth.</li><li>
Act as a primary technical point of contact for stakeholders regarding AI solutions.</li><li>
Hands-on contribution to critical code components, architectural design, and complex problem-solving.</li></ul> 

Requirements 
What you will bring to the role:
Education:<ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred.</li></ul>
Experience:<ul><li>
8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end.</li></ul>
Technical Skills:<ul><li>
Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras).</li><li>
Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving.</li></ul><ul><li>
In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes).</li><li>
Strong architectural skills for building robust, scalable, and maintainable AI infrastructures.</li><li>
Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services.</li><li>
Excellent understanding of data engineering principles, data governance, and database technologies.</li><li>
Ability to evaluate and make sound technical decisions on complex trade-offs.</li></ul>
Soft Skills:<ul><li>
Exceptional leadership, communication, and presentation skills, with the ability to influence and persuade stakeholders at all levels, including executive leadership.</li><li>
Proven ability to think strategically and translate complex business challenges into innovative and impactful data science initiatives.</li><li>
Strong mentoring and coaching skills, with a passion for developing the talents of junior team members.</li><li>
Excellent collaboration and negotiation skills, with the ability to work effectively across diverse, cross-functional teams and build strong relationships.</li></ul>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</div>

Stanford University

<div>Are you an experienced AI/GenAI engineer who loves shipping real systems? Join Stanford&rsquo;s Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you will influence strategic direction requirements and architecture for AI‑driven information systems, incorporating new capabilities (LLMs, RAG, agentic frameworks, MLOps) to improve workflow, efficiency, and decision-making. You may serve as the technical lead for specific AI tracks and interrelated applications.
This role blends hands-on engineering with mentorship and thought leadership. You will prototype and productionize&mdash;presenting proofs of concept, demoing solutions to stakeholders, and partnering with project managers, technical managers, architects, security, infrastructure, and application teams (ServiceNow, Salesforce, Oracle Financials, etc.)<h3 class="jobSectionHeader"> 
Core Duties:</h3><ul><li>
AI/ML System Implementation &amp; Integration: Translate requirements into well-engineered components (pipelines, vector stores, prompt/agent logic, evaluation hooks) and implement them in partnership with the platform/architecture team.</li><li>
Application &amp; Agent Development: Build and maintain LLM-based agents/services that securely call enterprise tools (ServiceNow, Salesforce, Oracle, etc.) using approved APIs and tool-calling frameworks. Create lightweight internal SDKs/utilities where needed.</li><li>
RAG &amp; Search Enablement: Configure and optimize RAG workflows (chunking, embeddings, metadata filters) and integrate with existing search/vector infrastructure&mdash;escalating architecture changes to designated architects.</li><li>
MLOps &amp; SDLC Practices: Follow and improve team standards for CI/CD, testing, prompt/model versioning, and observability. Own feature delivery through dev/test/prod, coordinating with release managers.</li><li>
Governance, Security &amp; Compliance: Apply established guardrails (PII redaction, policy checks, access controls). Partner with InfoSec and architects to close gaps; document decisions and risks.</li><li>
Metrics &amp; Reporting: Instrument services with KPIs (latency, cost, accuracy/quality) and build lightweight dashboards. Deep BI/reporting not primary.</li><li>
Documentation &amp; Communication: Write clear technical docs (APIs, workflows, runbooks), user stories, and acceptance criteria. Support and sometimes lead UAT/test activities.</li><li>
Collaboration &amp; Mentorship: Facilitate working sessions with stakeholders; mentor junior engineers through code reviews and pair programming; provide concise updates and risk flags.</li></ul> 
<div><h3 class="jobSectionHeader">Education &amp; Experience:</h3>
Bachelor's degree and eight years relevant experience, or a combination of education and relevant experience.<h3 class="jobSectionHeader"> 
Required Knowledge, Skills, and Abilities:</h3><ul><li>
Agent/Agentic Framework Experience: Built and shipped at least one production LLM agent or agentic workflow using frameworks such as LangGraph, LangChain, CrewAI/AutoGen, Google Agent Builder/Vertex AI Agents (or equivalent). Able to explain tool selection, orchestration logic, and post‑deployment support.</li><li>
Proven Delivery: Implemented 3+ AI/ML projects and 2+ GenAI/LLM projects in production, with operational support (monitoring, tuning, incident response). Projects should serve sizable user populations and demonstrate measurable efficiency gains.</li><li>
Strong understanding of AI/ML concepts (LLMs/transformers and classical ML) and experience designing, developing, testing, and deploying AI-driven applications.</li><li>
Programming Expertise: Python (primary) plus experience with Node.js/Next.js/React/TypeScript and Java; demonstrated ability to quickly learn new tools/frameworks.</li><li>
Experience with cloud AI stacks (e.g., Google Vertex AI, AWS Bedrock, Azure OpenAI) and vector/search technologies (Pinecone, Elastic/OpenSearch, FAISS, Milvus, etc.).</li><li>
Knowledge of data design/architecture, relational and NoSQL databases, and data modeling.</li><li>
Thorough understanding of SDLC, MLOps, and quality control practices.</li><li>
Ability to define/solve logical problems for highly technical applications; strong problem-solving and systematic troubleshooting skills.</li><li>
Excellent communication, listening, negotiation, and conflict resolution skills; ability to bridge functional and technical resources.</li></ul><h3 class="jobSectionHeader"> 
Desired Knowledge, Skills, and Abilities:</h3><ul><li>
MLOps Tooling: MLflow, Kubeflow, Vertex Pipelines, SageMaker Pipelines; LangSmith/PromptLayer/Weights &amp; Biases.</li><li>
Open Source Savvy: Experience working with, customizing, and improving open-source solutions; comfortable contributing fixes/features upstream.</li><li>
Rapid Tech Adoption: Demonstrated ability to pick up a new technology/framework quickly and deliver production value with it.</li><li>
GenAI Frameworks: LangChain, LlamaIndex, DSPy, Haystack, LangGraph, Agent Engine, Google ADK, AWS AgentCore, CrewAI/AutoGen.</li><li>
Security &amp; Governance: Implementing AI guardrails, red-teaming, policy enforcement frameworks.</li><li>
Enterprise Integrations: ServiceNow, Salesforce, Oracle Financials or others.</li><li>
UI Development: React/Next.js/Tailwind for internal tools.</li><li>
Prompt engineering at scale: Structured prompts (JSON/function-calling), templates, version control; automated/offline &amp; online evals (rubrics, hallucination/bias checks, A/B tests, golden sets).</li><li>
Parameter‑efficient fine‑tuning (LoRA/QLoRA/adapters), supervised instruction tuning; hosting open‑weight models (Llama/Mistral/Qwen) with vLLM/TGI/Ollama.</li><li>
Safety/guardrails frameworks (Guardrails.ai, NeMo Guardrails, Azure/AWS safety filters) and jailbreak/drift detection.</li><li>
Hybrid search &amp; reranking (BM25+dense, Cohere/Voyage/Jina rerankers), synthetic data generation, provenance/watermarking.</li><li>
Telemetry &amp; governance: prompt/model drift monitoring, policy‑as‑code, audit logging, red‑teaming playbooks.</li></ul> 
Certifications and Licenses:
Required: One of (or equivalent experience with): Google/AWS/Azure ML/AI certifications or strong demonstrable portfolio of production AI systems.<h3 class="jobSectionHeader"> 
Physical Requirements*:</h3><ul><li>
Constantly perform desk-based computer tasks.</li><li>
Frequently sit, grasp lightly/fine manipulation.</li><li>
Occasionally stand/walk, writing by hand.</li><li>
Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds.</li><li>Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form.</li></ul><h3 class="jobSectionHeader"> 
Working Conditions:</h3><ul><li>
May work extended hours, evenings, and weekends.</li></ul><h3 class="jobSectionHeader"> 
Work Standards:</h3><ul><li>
Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.</li><li>
Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.</li><li>
Subject to and expected to stay in sync with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in Stanford's Administrative Guide, http://adminguide.stanford.edu.</li></ul> 
The expected pay range for this position is $169,728 to $194,585 per annum.
Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford&rsquo;s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.<h3 class="jobSectionHeader"> 
Why Stanford is for you:</h3>
Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:<ul><li>
Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.</li><li>
A caring culture. We provide superb retirement plans, generous time-off, and family care resources.</li><li>
A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.</li><li>
Discovery and fun. Stroll through historic sculptures, trails, and museums.</li><li>
Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more!</li></ul> 
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.</div></div>

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