Full Stack LLM Developer
1 week ago
Full Stack LLM Developer (Future Opportunity) ***Please note, this opportunity is contingent upon receiving award and is not immediately available. *** *Must be local to DMV area and must be a US Citizen and be able to obtain a government agency Clearance* Metric5 is seeking a Full Stack LLM Developer to serve as the lead technical expert for designing, building, and deploying end‑to‑end AI and Large Language Model (LLM) solutions. This role will conduct feasibility studies for LLM/RAG solutions, design scalable AI pipelines, set up CI/CD pipelines, and provide post‑deployment support and training. Responsibilities: Collaborate with stakeholders to define business objectives for AI/LLM solution. Set up CI/CD pipelines for code and model deployment. Provide training sessions to internal teams on maintaining and extending the solution. Offer post‑deployment support for bug fixes, enhancements, and monitoring. Conduct feasibility studies for LLM/RAG‑based solutions aligned with business needs. Design scalable architecture for end‑to‑end AI pipelines. Required Qualifications: 4 years Data Science/Machine Learning/AI experience or equivalent, with an emphasis on delivering AI/ML solutions. Experience developing and deploying machine learning and generative AI solutions to production. Experience researching and developing advanced AI systems, including systems incorporating LLMs, RAG, and agentic workflows. Expert proficiency using Python for analytical workflows and server‑side development. Experience with full‑stack web development. Proficiency with Azure, AWS, and GCP cloud environments and associated services for data, AI, and application hosting. Experience architecting end‑to‑end production AI solutions, (e.g., model deployments, authentication, DNS routing). Strong understanding of underlying machine learning concepts (neural networks, transformer architectures, reinforcement learning, etc.). Certifications : Must hold an AWS Developer Certification. Preferred Qualifications: DHS experience Education: Bachelor’s Degree Clearance: Must be a United States citizen and must possess ability to pass a Public Trust Government background investigation Location: Washington, DC area / Hybrid work environment About Metric5 Metric5 is a small business with big company benefits. We have a passionate team of smart, fun‑caring professionals, and we are here for the long haul. Join our growing team in a business where your contributions make an enormous impact. Our organization offers a comprehensive employee benefits package, continuous professional development, with a best in class company culture that is enjoyable to work in and supports the growth of each of our professionals. Our benefits include: Health & Dental Insurance with 100% of individual coverage paid for by the company Vision Insurance Life & Short Term Disability Insurance 401K with company match (employees are immediately vested) Paid Vacation 9 Paid Holidays per year (plus 2 paid floating holidays) Parental Leave Employee Bonuses Professional Development Reimbursement Program Tuition Assistance Program Metric5 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #J-18808-Ljbffr
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LLM Full Stack Engineer
1 week ago
Cebu City, Philippines Metacom Careers Full timeJoin to apply for the LLM Full Stack Engineer role at Metacom Careers . As a LLM Full Stack Engineer, you will engage in the development and integration of applications utilizing Large Language Models and various enterprise services. Your typical day will involve collaborating with cross-functional teams to design and implement APIs, optimizing AI...
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LLM Full Stack Engineer
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Cebu City, Philippines Metacom Business Process Outsourcing Solution Inc. Full timeOverview Develop and integrate applications with Large Language Models (LLMs) and other enterprise services. Leverage front-end and server-side technologies to develop APIs, implement DevOps practices, and optimize Artificial Intelligence (AI) applications. Summary As a LLM Full Stack Engineer, you will engage in the development and integration of...
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