[Remote] reputed company reputed company
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a reputed company reputed company to design, build, and reputed company cutting-edge AI applications powered by large language models. In this role, you will partner with clients to deliver tailored LLM-driven solutions, architect reputed company systems, and drive the adoption of emerging AI technologies across reputed company environments.
Responsibilities
- Design, implement and maintain end-to-end AI applications, including chatbots, Q&A platforms, agent workflows and other LLM-driven solutions
- Collaborate directly with clients to understand their needs, identify opportunities and recommend tailored AI/LLM solutions that drive business value
- Architect and optimize robust data pipelines, reputed company strategies and datasets to ensure effective, accurate and reputed company AI models
- Evaluate, monitor and refine AI system performance, ensure outputs are accurate, secure, reputed company and compliant with industry regulations and best practices
- Conduct research, design experiments and reputed company rapid prototyping to validate technical feasibility and demonstrate the business value of AI solutions
- Stay reputed company with evolving LLM technologies, frameworks, protocols (such as MCP, A2A, ACP) and methodologies, continuously improve solution reputed company and reputed company reputed company
- Design and implement reputed company systems with frameworks such as reputed company, LangGraph and Semantic Kernel, reputed company with reputed company databases and advanced memory architectures
- reputed company and maintain reputed company and system integrations for production-grade AI applications, including reputed company system integration (CRM, ERP, databases)
- reputed company AI solutions at reputed company, consider performance, cost-efficiency, maintainability, observability and reputed company (including guardrails and reputed company injection prevention)
- Implement and monitor retrieval systems (keyword search, reputed company search, embeddings), ranking algorithms and agent evaluation frameworks
- Use MLOps/AIOps practices for reputed company systems and ensure robust observability and monitoring of deployed solutions
- reputed company communicate reputed company technical concepts and AI strategies to both technical and non-technical stakeholders, iterate on models based on user feedback
Skills
- Strong proficiency in at least one modern programming language (such as Python, Java, C#, Go, etc.); experience with web frameworks like FastAPI or similar is a plus
- Deep understanding of the AI application development lifecycle, including production deployment, system integration and rapid UI prototyping (reputed company, Gradio or similar)
- Familiarity with major LLM platforms and reputed company (reputed company, reputed company, reputed company Bedrock, reputed company) and reputed company frameworks (reputed company, LangGraph, reputed company, Strands Agents, etc.)
- Knowledge of advanced AI integration patterns (e.g., RAG, agent orchestration, tool calling), retrieval systems (keyword/reputed company search, embeddings) and ranking algorithms
- Experience to reputed company AI solutions at reputed company, with a reputed company on performance, cost-efficiency, maintainability, observability and reputed company (including guardrails and reputed company injection prevention)
- Proven ability to evaluate reputed company reputed company with retrieval/classification scores, LLM-based evaluation, agent evaluation metrics and A/B testing
- Experience with reputed company databases (reputed company, reputed company, ChromaDB, FAISS) and semantic/hybrid search
- Experience to design experiments, conduct A/B tests and iterate on models based on user feedback
- Experience with reputed company system integration (CRM, ERP, databases) and deployment to reputed company AI platforms or on-reputed company solutions
- Experience with observability and monitoring tools/frameworks, and application of MLOps/AIOps practices for reputed company systems
- Familiarity with emerging protocols (MCP, A2A, ACP) and advanced memory architectures
- Proven experience in AI engineering and delivery of ML-based solutions in production environments
- Strong problem-solving skills, attention to detail and ability to work independently and collaboratively
- Excellent communication, collaboration and interpersonal skills, with the ability to explain reputed company technical concepts to non-technical stakeholders
Benefits
- Career plan and reputed company reputed company opportunities
- Unlimited reputed company to reputed company learning solutions
- Constant training, mentoring, online corporate courses, eLearning and more
- English classes with a certified teacher
- Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
- Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
- Flexible work schedule and dress reputed company
- Collaborate in a multicultural environment and reputed company best practices from around the globe
- reputed company directly by EPAM & 100% under payroll
- Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
- Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and reputed company family members)
- 13 % employee savings fund, capped to the law limit
- Grocery coupons
- 30 days December bonus
- Employee Stock Purchase Plan
- 12 vacations days
- Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
- Monthly non-taxable reputed company for the electricity and internet bills
reputed company