llm engineer

BV Teck

<div>Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.<br>
<br>
<b>Job Title: </b>Conversational AI Engineer<br>
<b>Location: </b>Remote position<br>
<b>Position Type: </b>Full-time, Direct W2<br>
<b>Salary Range: </b>$100,000&ndash;$150,000 Annually<br>
<b>Experience Required: </b>6+ years<br>
<br>
<b>Sponsorship: </b>U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply.<br>
<br>
<b>Job Summary</b><br>
We are looking for a Conversational AI Engineer to define and lead the strategy, patterns, and tooling for designing prompts, agentic workflows, and LLM-based application architectures across the organization. The role combines deep practical mastery of modern LLMs with the discipline of building reusable design patterns, evaluation frameworks, and developer tooling that scale across many teams and use cases. The ideal candidate has shipped LLM-powered products in production, is fluent in prompt design patterns and agent architectures, and brings strong judgment about when and how to apply different LLM techniques responsibly.<br>
<br>
<b>Required Qualifications</b><ul><li>
6+ years of software engineering experience, with significant time on LLM-based applications.</li><li>
Demonstrated experience shipping LLM-powered products to production.</li><li>
Deep familiarity with modern LLM APIs and agent frameworks.</li></ul><b>
Preferred Qualifications</b><ul><li>
Public writing, talks, or open-source contributions on LLM application development.</li><li>
Experience with multi-agent architectures and complex tool-use systems.</li><li>
Familiarity with fine-tuning workflows and when to choose them over prompting.</li><li>
Exposure to product domains such as customer support, coding assistants, or analytics agents.</li><li>
Experience integrating LLMs into enterprise software systems with strict compliance requirements.</li></ul><b>
If Interested, </b>Please apply to the job, Email your Resume to jaya@bvteck.com or call us at 908-505-3545<br>
<br>
Bright Vision Technologies is an Equal Opportunity Employer.<p>
Equal Employment Opportunity (EEO) Statement</p>
<p>Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.</p>
<p>BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.</p><p>
</p><p>P5Ksl5gFZK</p></div>

Conversational AI Engineer

Collaboration.Ai

<div><h1 class="jobSectionHeader"><b>Who We Are</b></h1><p>
Collaboration.Ai is a mission-focused, AI-powered software and services company based in Minnesota, with employees, partners, and customers around the world. We unite people, technology, and purpose to accelerate breakthroughs that transform industries, empower communities, and create a more sustainable future. We collaborate with organizations across the defense ecosystem, helping them navigate complex challenges and drive transformative change.</p><h1 class="jobSectionHeader"><b>
Our Products</b></h1><p><b>
NetworkOS</b> &mdash; NetworkOS is an AI-powered platform that aligns people, purpose, ideas, and expertise in real-time, generating actionable insights to propel movements forward.</p><p><b>
CrowdVector</b> &mdash; CrowdVector is an integrated solution marketplace and innovation management platform that rapidly uncovers new ideas and advances breakthroughs to fuel movements.</p><p>
To learn more about us, visit collaboration.ai.</p><h1 class="jobSectionHeader"><b>
About the Role</b></h1><p>
You'll build the agentic systems and data pipelines behind NetworkOS's AI capabilities: production agent workflows built on industry-leading agent SDKs and harnesses, MCP servers, and Agent Skills standards; the eval and observability layer that keeps LLM quality measurable; and the ingestion pipelines that turn messy, diverse data sources into queryable knowledge.</p><p>
This is an execution seat, not an ivory tower. You'll commit code every week, ship agents as product capability rather than demos, and help shape a roadmap that's heading deep into graph + agents territory &mdash; for customers in defense, healthcare, and regulated enterprise.</p><p>
Agents in production. Pipelines that hold. Evals that keep everyone honest.<br>
<br>
This opportunity is remote with a preference for candidates in the Twin Cities area (Minneapolis, Saint Paul); however all candidates are encouraged to apply!</p><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><ul><li><b>
Ship production agent systems</b> &mdash; design, build, and operate agentic workflows (agent SDKs, MCP servers, Agent Skills standards) powering AI-driven matching, analysis, and data intelligence</li><li><b>
Operationalize LLM quality</b> &mdash; build the eval and observability layer with Langfuse, golden datasets, LLM-as-judge patterns, and FinOps-style tracking so every workflow has measurable quality, cost, and latency</li><li><b>
Engineer data pipelines</b> &mdash; robust ingestion of documents, structured data, and external sources into searchable knowledge bases with quality validation, deduplication, and incremental updates</li><li><b>
Own retrieval quality</b> &mdash; hybrid search combining vector, keyword, and metadata retrieval, continuously improved through reranking, query expansion, and contextual compression</li><li><b>
Accelerate with AI</b> &mdash; build custom MCP tools and Agent Skills that make the whole engineering team measurably faster</li><li><b>
Execute alongside the team</b> &mdash; pair with full-stack engineers on AI integration points, contribute to incident response for AI services, and keep your hands in the code</li></ul><h2 class="jobSectionHeader"><b>
Our Tech Stack</b></h2><ul><li><b>
Languages:</b> Python (primary); Kotlin (core platform language at CAI); TypeScript/Node.js and other modern languages (secondary)</li><li><b>
AI/ML:</b> FastAPI, Pydantic; multi-provider LLM SDKs (Anthropic, OpenAI, and others)</li><li><b>
Agentic Tooling:</b> Claude Code/Codex/etc.; industry-leading agent SDKs and harnesses; MCP servers; Agent Skills standards</li><li><b>
LLM Operations:</b> Langfuse + evals (golden datasets, LLM-as-judge); in-house FinOps tracking (token usage, latency, cost); multi-provider orchestration including AWS Bedrock</li><li><b>
Search &amp; Retrieval:</b> Vector databases, OpenSearch, embedding models</li><li><b>
Data:</b> PostgreSQL, Amazon S3; streaming pipelines (Kafka/Kinesis) where needed</li><li><b>
Infrastructure:</b> Docker, Kubernetes (AWS EKS); DataDog + OpenTelemetry observability</li></ul><h2 class="jobSectionHeader"><b>
What We're Looking For</b></h2><p>
Must Haves</p><ul><li>
7+ years of professional software engineering experience, with 3+ years focused on AI/ML or data engineering</li><li>
Production agentic/LLM application experience &mdash; built and operated systems around LLM APIs (Anthropic, OpenAI) serving real users: agents, tool-use, or orchestrated LLM workflows</li><li>
Data engineering background &mdash; robust, scalable pipelines for AI/ML workloads</li><li>
LLM operations experience &mdash; evals and observability for production LLM systems (quality, cost, latency)</li><li>
Production retrieval experience &mdash; vector databases and/or search engines (OpenSearch, Elasticsearch)</li><li>
Modern Python stack proficiency &mdash; FastAPI, Pydantic, async/await, modern dependency management</li><li>
AI-native workflows &mdash; demonstrated ability to leverage Claude Code/Codex or similar agentic coding tools to accelerate development</li><li>
Experience with Docker, Kubernetes, and AWS</li><li><b>
US citizenship required</b> (DoD contracting &mdash; IL4/IL5 environments &mdash; and FedRAMP compliance)</li></ul>
Nice-to-Haves<ul><li>
Deep agentic ecosystem experience &mdash; Agent Skills standards, custom MCP servers, agent SDKs across major vendors</li><li>
Advanced RAG expertise &mdash; GraphRAG, agentic RAG, contextual retrieval, reranking strategies</li><li>
Graph data experience &mdash; knowledge graphs, graph databases, or graph-based retrieval</li><li>
Model selection &amp; rightsizing &mdash; matching models to domain-specific use cases across quality, cost, and latency tradeoffs</li><li>
Streaming data experience (Kafka, Kinesis) for real-time knowledge base updates</li><li>
Research background, open-source contributions, or an advanced degree in ML/IR/NLP</li></ul><h3 class="jobSectionHeader"><b>
Why Join Collaboration AI?</b></h3><p><b>
Real AI engineering, not a wrapper shop.</b> Production agents, hybrid retrieval, continuous evals, and a roadmap heading into graph + agents &mdash; with the autonomy to shape how it's built.</p><p><b>
AI-native by default.</b> We build with AI, not just for AI. Agentic coding tools (Claude Code/Codex/etc.), agent SDKs and harnesses, MCP servers, and Agent Skills standards are how we work daily &mdash; you'll both use and build them.</p><p><b>
Work that matters.</b> Defense, healthcare, and regulated industries &mdash; SOC 2 and NIST compliance, FedRAMP readiness, and customers whose missions demand AI they can trust.</p><p><b>
Small, senior team.</b> Early-stage impact with your work visible from week one. You'll help set the bar for how AI engineering is done here.</p><p>
</p><p>DP5OkrdSXC</p></div>

Senior AI Engineer - Agentic Systems & Data Pipelines

Intégral

<div>Overview:
<div><b>
Agentic Engineer</b></div><div><b>
Location: Tysons Corner, VA (Hybrid)</b></div><div></div><div><br>
At Integral Federal, we invest in our people&mdash;equipping them with the tools, expertise, and culture of innovation needed to deliver measurable results. Committed to exceeding expectations and delivering mission impact, our team thrives on solving complex challenges, optimizing performance, and ensuring long-term success for our clients.</div><div></div><div><b><br>
The Role:</b> We are looking for a curious builder to join our team and develop AI Agents. You will design, build, and deploy autonomous agents and LLM-powered applications across AWS, Google Cloud, and Microsoft Azure.</div><div></div><div><br>
We do not require a Master&rsquo;s degree, a Bachelor&rsquo;s degree, or any degree at all. We care about your understanding of modern AI architectures and your drive to repetitively solve problems. If you are the type of developer who loves tinkering with multi-agent workflows, experimenting with the Model Context Protocol (MCP), and testing the limits of new foundation models, you belong here.</div><div></div><div><b><br>
Work Authorization</b>: Candidates must be authorized to work in the U.S. without the need for an employer-sponsored visa now or in the future.</div>
Responsibilities:
<ul><li>Design and build autonomous AI agents using the latest large language models (LLMs) and orchestration frameworks.</li><li>
Implement and leverage the Model Context Protocol (MCP) to seamlessly connect our AI models with external tools, APIs, and data sources.</li><li>
Move beyond prototypes by building rigorous evaluation (Evals) pipelines and implementing LLM observability to ensure agents run reliably without hallucinating or getting stuck in infinite tool-calling loops.</li><li>
Deploy AI solutions across multi-cloud environments, utilizing the best tools available on AWS, Google Cloud (GCP), and Microsoft Azure.</li><li>
Translate complex, ambiguous problems into functional, robust, production-ready code.</li><li>
Stay plugged into the bleeding edge of the AI landscape, bringing new tools, papers, and open-source projects to the team's attention.</li><li>
Work closely with other engineers to securely and efficiently integrate agentic workflows into our existing infrastructure.</li></ul>
Qualifications:
<div><b>
What You Must Bring (Required):</b></div><div></div><ul><li><b><br>
Proof of Capability:</b> Personal projects, GitHub repositories, or open-source contributions demonstrating your ability to build AI apps or agents. (Please include links in your application).</li><li><b>
LLM &amp; Agent Experience</b>: Hands-on experience working directly with LLM APIs (OpenAI, Anthropic, Gemini, etc.) and building agentic loops (tool calling, memory management, reasoning).</li><li><b>
Protocol Knowledge:</b> Familiarity with or a strong desire to master the Model Context Protocol (MCP) for tool integration.</li><li><b>
Cloud Fluency:</b> Experience deploying applications or running experiments on at least one major cloud provider (AWS, GCP, or Azure) and a willingness to learn the others.</li><li><b>
Builder&rsquo;s Mindset:</b> An insatiable curiosity, a high tolerance for ambiguity, and the grit to troubleshoot novel problems.</li></ul><div></div><div><b><br>
Bonus Points (Preferred):</b></div><br>
<div></div><ul><li>
Experience fine-tuning models or working with local, open-weight models.</li><li>
Experience testing models to create a baseline and identify drift</li><li>
Experience building custom tools, robust RAG pipelines, or complex data ingestion pipelines from scratch.</li></ul><div>
Salary range: $90,000 - $175,000</div><div>
The above salary range represents a general guideline. Integral Federal considers a number of factors when determining base salary offers, such as the scope and responsibilities of the position and the candidate's experience, education, skills, and current market conditions.</div><div>
Depending on the position, employees may be eligible for overtime, shift differential, and/or discretionary bonuses in addition to base pay.</div>
Company Overview:
<div>
Integral partners with federal defense, intelligence, and civilian leaders to tackle their most important challenges and deliver positive outcomes. Since our founding in 1998, we have helped clients leverage existing and emerging technologies to transform their enterprises, empower growth, drive innovation, and build sustainable success. The forward-leaning solutions we deliver are tailored to each mission with a focus on keeping our nation safe and secure.</div><div></div><div><br>
Integral is headquartered in McLean, VA and serves clients throughout the country.</div><div></div><div><br>
We offer a comprehensive total rewards package including paid parental leave and immediate vesting in our 401(k). Give us a try and become part of a curated group of professionals at Integral Federal!</div><div></div><div><br>
Our package also includes:</div><ul><li>Medical, Dental &amp; Vision Insurance</li><li>Flexible Spending Accounts</li><li>Short-Term and Long-Term Disability Insurance</li><li>Life Insurance</li><li>Paid Time Off &amp; Holidays</li><li>Earned Bonuses &amp; Awards</li><li>Professional Training Reimbursement</li><li>Employee Assistance Program</li></ul><div></div><div><br>
Equal Opportunity Employer/Protected Veteran/Disability</div></div>

Agentic Engineer

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Software Engineering
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><div>Job Description
<div>Job Description
</div></div><div><div><div><div><div><div><div><div><div><p><i>ware engineers, product managers and solution engineers closely to design, implement and iterate agentic AI systems with customers.
</i><br>
<br>
<i>With your strong technical competence, strategic thinking and customer engagement, you will innovate at the frontier of the field, having the opportunity to create new solutions and define new categories of product with meaningful impact to Salesforce customers and beyond.
</i><br>
<br>
<i>We are looking for candidates who
</i></p><ul><li><p><i>Has exceptional engineering skills.
</i></p></li><li><p><i>Has deep ML knowledge with meaningful implementation track records.
</i></p></li><li><p><i>Prioritize deep and strategic thinking.
</i></p></li><li><p><i>Has dedication, patience and resilience to build exceptional product experience.
</i></p></li><li><p><i>Collaborative and win with teams.
</i></p></li><li><p><i>Proactive and bias to action, comfortable in fast-pacing environment.
</i></p></li><li><p><i>Competitive coding winner (ACM-ICPC, etc).
</i></p></li><li><p><i>Startup founders in agentic AI, LLM, area (e.g., YC backed startup)
</i></p></li><li><p><i>Programming &amp; Systems:
</i></p></li><li><p><i>Strong proficiency in Python; solid experience with C++ and/or Java
</i></p></li><li><p><i>Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
</i></p></li><li><p><i>Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
</i></p></li><li><p><i>Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
</i></p></li><li><p><i>Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance
</i></p></li><li><p><i>Strong software engineering fundamentals (data structures, algorithms, system design)
</i></p></li><li><p><i>Experience building production-quality systems
</i></p></li><li><p><i>Agentic / LLM Systems
</i></p></li><li><p><i>Practical experience with LLMs and agentic workflows (tool use, planning, memory, multi-step reasoning)
</i></p></li><li><p><i>Experience building end-to-end AI agents or complex AI-driven applications
</i></p></li><li><p><i>Familiarity with prompting, orchestration, and evaluation for LLM-based systems
</i></p></li><li><p><i>Machine Learning &amp; AI
</i></p></li><li><p><i>Hands-on experience with deep learning frameworks
</i></p></li><li><p><i>Strong understanding of ML fundamentals
</i></p></li><li><p><i>Experience implementing and debugging model training, evaluation, and inference pipelines
</i></p></li><li><p><i>Infrastructure &amp; Deployment
</i></p></li><li><p><i>Experience deploying ML systems using Docker and cloud platforms (AWS, GCP, or Azure)
</i></p></li><li><p><i>Familiarity with distributed training or inference and performance optimization
</i></p></li><li><p><i>A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
</i></p></li><li><p><i>Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
</i></p></li><li><p><i>Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
</i></p></li></ul></div></div></div></div></div></div></div></div></div><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
</p><p></p>In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
<p></p>At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div><p></p>

Senior Member of Technical Staff - AI Research

CLERA

<div><h3 class="jobSectionHeader"><b>About the role</b></h3><p>
Join a bootstrap, early-stage AI-powered recruiting startup as a founding engineer focused on building the intelligence layer that connects candidates with startup opportunities. You&rsquo;ll own recommendation systems, ranking algorithms, and LLM-powered matching to surface high-impact opportunities and drive outcomes for candidates and employers.</p>
<h3 class="jobSectionHeader"><b>What you'll do</b></h3>
<ul><li>Own the AI/ML stack, including recommendation systems and ranking algorithms.</li>
<li>Develop LLM-powered matching to improve candidate-role alignment.</li>
<li>Collaborate with cross-functional teams to translate product goals into production-ready features.</li>
<li>Deliver end-to-end features with ownership and rapid shipping to production.</li>
<li>Design and maintain production-grade data pipelines and services integrated with the stack.</li>
</ul><h3 class="jobSectionHeader"><b>What we're looking for</b></h3>
<ul><li>Strong computer science fundamentals and a track record of delivering end-to-end product features in a fast-paced startup environment.</li>
<li>Experience with Cursor, Supabase, Prisma, Typesense, LLM APIs, and trigger.dev in production-grade projects.</li>
<li>Proficiency with TypeScript and React.</li>
<li>Willingness to work in entrepreneurial, hacky environments and in a dedicated coworking/hackerhouse setup.</li>
<li>Open to a 6-day-per-week schedule and ready to contribute in a high-autonomy, early-stage context.</li>
<li>Demonstrates something outstanding about their profile (e.g., strong projects, active GitHub).</li>
</ul><h3 class="jobSectionHeader"><b>Compensation &amp; benefits</b></h3>
<ul><li>Salary range: 130,000 &ndash; 170,000 USD annually.</li>
<li>Visa sponsorship available.</li>
<li>Notes: compensation and benefits reflect an early-stage, high-growth environment.</li>
</ul><h3 class="jobSectionHeader"><b>Location</b></h3>
<p>
Primary location: San Francisco, CA, United States. On-site with a flexible, startup-friendly structure. Remote work policy: on-site</p></div>

Senior Founding Engineer (AI/ML)

<div>Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.<br>
<br>
<b>Job Title: </b>AI Risk Engineer<br>
<b>Location: </b>100% Remote (Continental United States)<br>
<b>Position Type: </b>Full-time, Direct W2<br>
<b>Salary Range: </b>$100,000 to $150,000 per annnum<br>
<b>Experience: </b>6+ years<br>
<br>
<b>Sponsorship:</b> U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.<p><b><br>
Job Summary:</b><br>
We are seeking an <b>AI Risk Engineer</b> to design and implement security controls for AI and machine learning systems. The ideal candidate will have expertise in AI security, threat modeling, LLM protection, cloud security, and incident response, with experience securing AI-powered applications and infrastructure.</p><p><b>
Key Responsibilities:</b></p><ul><li>
Design and implement security controls for AI and LLM-based applications.</li><li>
Build threat models and mitigate risks such as prompt injection, model abuse, and data exfiltration.</li><li>
Implement guardrails, monitoring, logging, and incident response for AI systems.</li><li>
Secure AI training pipelines, APIs, and multi-tenant environments.</li><li>
Collaborate with security, privacy, and compliance teams to strengthen AI security posture.</li><li>
Conduct AI security assessments and drive remediation of identified risks.</li></ul><p><b>
Required Qualifications:</b></p><ul><li>
6+ years of security engineering experience, including AI or ML systems.</li><li>
Strong knowledge of LLM security, application security, cloud security, and threat modeling.</li><li>
Experience with AI security controls, adversarial ML, prompt injection, and Python.</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Experience with AI red-teaming, privacy-preserving ML, or AI security research.</li><li>
Exposure to regulated industries or open-source AI security tools.</li></ul><b>
How to Apply</b><br>
Would you like to know more about this opportunity? For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com.<br>
<br>
Bright Vision Technologies is an Equal Opportunity Employer.<p>
Equal Employment Opportunity (EEO) Statement</p>
<p>Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.</p>
<p>BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.</p><p>
</p><p>wmYoG00cNg</p></div>

Risk Engineer - AI

<div>Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.<br>
<br>
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.<br>
<br>
<b>Job Title: </b>Foundation Model Engineer<br>
<b>Location:</b> 100% Remote (U.S.)<br>
<b>Position Type:</b> Full-time, Direct W2<br>
<b>Salary Range:</b> $200,000&ndash;$230,000 Annually<br>
<b>Experience Required:</b> 6+ years<br>
<br>
<b>Sponsorship:</b> U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.<br>
<br>
<b>Job Summary:</b><br>
We are looking for an Foundation Model Engineer to design, execute, and operationalize fine-tuning workflows for large language models across supervised, preference-based, and reinforcement learning approaches. The role requires deep practical experience with modern training stacks, careful dataset construction, rigorous evaluation methodology, and the engineering discipline to operate complex training pipelines reliably. The ideal candidate combines strong ML intuition with production-grade engineering practices, and is comfortable navigating the trade-offs between data quality, compute budget, evaluation rigor, and shipping velocity. In this role you will work closely with cross-functional partners &mdash; product, design, engineering, operations, and business stakeholders &mdash; to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.<br>
<h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Develop, fine-tune, and optimize Large Language Models (LLMs) for enterprise AI applications.</li><li>
Design and implement end-to-end model training and fine-tuning pipelines using PyTorch, Hugging Face Transformers, and related frameworks.</li><li>
Prepare, clean, and curate training datasets for supervised fine-tuning and instruction tuning.</li><li>
Implement parameter-efficient fine-tuning techniques such as LoRA, QLoRA, and PEFT to improve training efficiency.</li><li>
Evaluate model performance using standard NLP benchmarks, automated metrics, and task-specific evaluations.</li><li>
Collaborate with data scientists, software engineers, and product teams to integrate LLM solutions into production applications.</li><li>
Optimize model inference performance, latency, and resource utilization for scalable deployment.</li><li>
Develop data preprocessing, feature engineering, and automation scripts using Python.</li><li>
Deploy and monitor machine learning models on cloud platforms using MLOps best practices.</li><li>
Troubleshoot model training issues, optimize hyperparameters, and improve overall model accuracy.</li><li>
Document technical designs, experiments, and implementation details for knowledge sharing.</li><li>
Stay current with advancements in Generative AI, transformer architectures, and open-source LLM technologies.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Required Qualifications</b></h2><ul><li>
Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. Equivalent industry experience will also be considered.</li><li>
6+ years of experience in Machine Learning or AI engineering, including at least 2 years working with Large Language Models (LLMs) or Generative AI.</li><li>
Strong programming skills in Python.</li><li>
Hands-on experience with PyTorch and Hugging Face Transformers.</li><li>
Experience fine-tuning open-source LLMs such as Llama, Mistral, Falcon, Gemma, or similar transformer-based models.</li><li>
Knowledge of parameter-efficient fine-tuning techniques including LoRA, QLoRA, or PEFT.</li><li>
Experience building data preprocessing and model training pipelines.</li><li>
Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) concepts.</li><li>
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.</li><li>
Working knowledge of Docker, Kubernetes, Git, and CI/CD practices.</li><li>
Strong analytical, problem-solving, and debugging skills.</li><li>
Excellent communication and collaboration skills.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2><ul><li>
Experience with LangChain, LlamaIndex, DSPy, or similar LLM orchestration frameworks.</li><li>
Familiarity with distributed model training technologies such as DeepSpeed or FSDP.</li><li>
Experience deploying LLMs using vLLM, TensorRT-LLM, or ONNX Runtime.</li><li>
Knowledge of ML lifecycle and MLOps tools such as MLflow, Kubeflow, or Weights &amp; Biases.</li><li>
Experience building enterprise AI chatbots, copilots, document intelligence, or RAG-based applications.</li><li>
Exposure to prompt engineering, AI evaluation frameworks, and LLM safety best practices.</li><li>
Contributions to open-source AI or machine learning projects are a plus.</li><li>
Experience working in Agile software development environments.</li></ul><br>
<b>
How to Apply</b><br>
<br>
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.<br>
<br>
Bright Vision Technologies is an Equal Opportunity Employer<p>
Equal Employment Opportunity (EEO) Statement</p>
<p>Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.</p>
<p>BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.</p><p>
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Foundation Model Engineer

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