Qureos Mentor

Egen Solutions Inc

<div><div><div><b>About Egen:</b></div>
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<div>Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.</div>
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<div><i>Want to learn more about life at Egen? Check out these resources in addition to the job description.</i></div>
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<div>Meet Egen</div>
<div>Life at Egen</div>
<div>Culture and Values at Egen</div>
<div>Career Development at Egen</div>
<div>Benefits at Egen</div>
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<div><b>About the opportunity:
</b></div><div><p>As a Lead AI Engineer, you will be at the forefront of our Generative AI initiatives. We treat AI as a software engineering discipline. You will be responsible for the full lifecycle of our AI features&mdash;specifically document intelligence and RAG pipelines&mdash;taking them from initial prototype to robust, scalable production services. You will solve for real-world constraints like latency, error handling, and cost optimization.</p>
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You&rsquo;ll collaborate with a diverse range of clients to translate business needs into high-performance AI architectures. This role requires a blend of deep technical expertise in LLMs and a disciplined Software Engineering approach to ensure our solutions are robust, ethical, and scalable.</p>
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<div><div><h3 class="jobSectionHeader"><b>What You Will Do:</b></h3><div><div><ul>
<li>Architect &amp; Build: Design and implement end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud</li>
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<p>Engineer for Precision: Develop advanced RAG (Retrieval-Augmented Generation) pipelines and Semantic Search systems using Google Cloud Vector Search or Pinecone</p>
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<li><p>Optimize Models: Lead efforts in LLM and Embedding fine-tuning to improve domain-specific performance</p>
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<li><p>Agentic Ops: Build and manage agentic workflows that automate complex multi-step reasoning tasks</p>
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<li><p>Collaborate &amp; Innovate: Work directly with customers to understand requirements, suggest novel features, and implement state-of-the-art AI techniques</p>
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<li><p>Productionize: Apply MLOps best practices to ensure models are served efficiently, monitored, and continuously improved</p>
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</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Your Technical Toolkit:</b></h3><div><div><ul>
<li><b>Core Languages</b>: Mastery of Python and shell scripting</li>
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<p><b>AI/LLM Ecosystem</b>: Extensive experience with Google Gemini, GPT-4, or LLaMA; deep knowledge of Prompt Engineering and Fine-tuning</p>
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<li><p><b>Data &amp; Search</b>: Expertise in Vector Databases (Vertex AI Vector Search, pgvector, etc.) and implementing Semantic Search</p>
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<li><p><b>Infrastructure</b>: Hands-on experience with Google Cloud (Vertex AI) and building scalable software architectures</p>
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<li><p><b>Frameworks</b>: Proficiency in LangChain, LlamaIndex, or similar orchestration layers</p>
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<li><p><b>Mindset:</b> A strong software engineering foundation&mdash;you write clean, maintainable code and understand the full SDLC</p>
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</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Basic Qualifications:</b></h3><div><div><ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related technical field</li>
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<p>8+ years of experience in AI/ML</p>
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<li><p>Proven track record of deploying GenAI products to a production environment</p>
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<li><p>Experience with Classic Machine Learning (neural nets, training, tuning) is a strong plus</p>
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<li><p>Knowledge of Data Engineering and SQL</p>
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</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Personal Attributes:</b></h3><div><div><ul>
<li>Ownership: You take pride in your code and see projects through from concept to deployment</li>
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<p>Curiosity: The AI landscape changes weekly; you are a lifelong learner who stays ahead of the curve</p>
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Consultative Spirit: You enjoy interacting with clients and can translate technical complexity into business value</p>
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Ethics: You prioritize responsible AI development and data privacy</p><br>
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</ul></div></div></div></div><div><div>$159,300 - $230,000 a year</div><p>
This position may be hired at multiple levels. Final leveling is determined during the interview process based on a candidate's experience, skills, and interview outcomes, and the applicable salary range will align with the final level assigned.<br>
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Compensation is determined based on factors including experience, expertise, interview performance, and geographic location, where applicable.</p></div>
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Compensation &amp; Benefits:</b></div>
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<div>This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:</div>
<ul><li>Comprehensive Health Insurance</li></ul>
<ul><li>Paid Leave (Vacation/PTO)</li></ul>
<ul><li>Paid Holidays</li></ul>
<ul><li>Sick Leave</li></ul>
<ul><li>Parental Leave</li></ul>
<ul><li>Bereavement Leave</li></ul>
<ul><li>401 (k) Employer Match</li></ul>
<ul><li>Employee Referral Bonuses</li></ul>
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<div>Check out our complete list of benefits here - &gt;https://egen.ai/people/#benefits</div>
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<div><b>Important:</b><b> </b>All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks.</div>
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<div><b>EEO and Accommodations:
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<div></div><div>Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans&rsquo; status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Lead AI Engineer

<div><div><div><div><b>Job Description :</b></div>
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<div>We are seeking a highly motivated and experienced Lead ML Engineer to join our growing ML/GenAI team.</div>
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<div>You will play a key role in designing, developing and productionalizing ML/GenAI applications by evaluating models, training and/or fine tuning them. As a lead, you require a deep understanding of both machine learning algorithms and software architecture. You need to take ownership of projects from conception to deployment, collaborating with engineers and stakeholders to ensure successful project delivery.</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>What we're looking for:</b></h3><div><div><div>
<ul><li>At least 5 years of experience in designing &amp; building ML/AI applications for customer and deploying them into production</li>
<li>At least 8 years of Software engineering experience in building Secure, scalable and performant applications for customers.</li>
<li>At least 2 years of experience leading and mentoring ML/data science teams( 4+ team members)</li>
<li>Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI.</li>
<li>Design, develop, and operationalize existing ML models by fine tuning, personalizing it.</li>
<li>Evaluate machine learning models and perform necessary tuning.</li>
<li>Develop prompts that instruct LLM to generate relevant and accurate responses.</li>
<li>Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation.</li>
<li>Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance.</li>
<li>Lead the end-to-end design and architecture of scalable, reliable, and cost-effective Generative AI solutions. This includes designing RAG (Retrieval-Augmented Generation) pipelines, agentic workflows, and model fine-tuning strategies.</li>
<li>Hands on customer experience with RAG solution or fine tuning of LLM model.</li>
<li>Build and deploy scalable machine learning pipelines on Google Cloud or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools.</li>
<li>Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment.</li>
<li>Act as the senior-most developer, writing clean, high-quality, and scalable code. This includes building core components for prompt engineering, vector search, data processing, model evaluation, and inference serving.</li>
<li>Proven experience building and deploying machine learning models in production environments for real life applications</li>
<li>Good understanding of natural language processing, computer vision or other deep learning techniques.</li>
<li>Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain).</li>
<li>Familiarity with Google Cloud or any other Cloud Platform</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Good to Have
</b></h3><div><div><div><ul><li>Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent.</li>
<li>Experience of working with one or more public cloud platforms - namely Google Cloud, AWS or Azure.</li>
<li>Experience with AutoML and vision techniques.</li>
<li>Master&rsquo;s degree in statistics, machine learning or related fields.</li>
</ul></div></div></div></div></div><div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Lead-ML Engineer

Join Egen Solutions Inc and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Egen Solutions Inc

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Lead AI Engineer

Lead-ML Engineer