Ai/ml Senior Engineer

hace 1 semana


Miguel Hidalgo, México PepsiCo Beverages North America A tiempo completo

**Descripción del puesto**:
**Overview**

**We Are PepsiCo**

Join PepsiCo and Dare for Better We are the perfect place for curious people, thinkers and change agents. From leadership to front lines, we're excited about the future and working together to make the world a better place.

Being part of PepsiCo means being part of one of the largest food and beverage companies in the world, with our iconic brands consumed more than a billion times a day in more than 200 countries.

Our product portfolio, which includes 22 of the world's most iconic brands, such as Sabritas, Gamesa, Quaker, Pepsi, Gatorade and Sonrics, has been a part of Mexican homes for more than 116 years.

A career at PepsiCo means working in a culture where all people are welcome. Here, you can dare to be you. No matter who you are, where you're from, or who you love, you can always influence the people around you and make a positive impact in the world.

**Know more**:

- PepsiCoJobs

**Join PepsiCo, dare for better.**

**Responsibilities**

**The Opportunity**

Design, develop, and optimize autonomous AI agents that integrate with systems, users, and APIs to perform complex tasks. The role focuses on leveraging LLMs, agentic frameworks, and cloud-native architectures to enable automation, intelligent decision-making, and self-improving AI workflows.

**Your Impact**
- As **AI/ML Senior Engineer (GenAI)** your responsibilities would consist of:

- Strong Python Programming experience with AI/ML frameworks such as TensorFlow, PyTorch.
- Design, build, and deploy AI agents using LangChain, CrewAI, LangGraph, AutoGen, or similar frameworks.
- Integrate large language models (LLMs) (GPT-4,o1, Claude, Llama, Mistral etc.,) into multi-agent systems.
- Develop multi-agent orchestration pipelines, enabling collaboration between AI agents for complex task execution.
- Knowledge of vector databases and embeddings for retrieval-augmented AI (RAG).
- Implement retrieval-augmented generation (RAG) with vector databases like Milvus, Pinecone, Azure AI Search (with Vector Indexing).
- Optimize AI workflows using Reinforcement Learning (RLHF) and function calling for improved reasoning and automation.
- Integrate AI agents with APIs, DevOps tools and existing workflows.
- Ensure observability, debugging, and monitoring of AI agent behavior through logging frameworks.
- Implement memory persistence for long-term agent interactions using graph-based memory or event stores.
- Collaborate with cross-functional teams to embed AI agents into DevOps, automation, and software development processes.
- Implement various prompt techniques, including zero-shot, few-shot, chain-of-thought (CoT), and fine-tuning for optimized LLM performance.

**Qualifications**

**¿Who Are We Looking For?**

**Experience required**:

- B. Tech/B.E. or master’s degree in computer science, data science, or a related field
- 4+ years of strong python programming experience with AI/ML frameworks such as TensorFlow, PyTorch
- 2+ years of experience building self-improving AI agents for software development (e.g.,SWE-bots, or self-improving code generation agents).
- Strong algorithmic thinking, problem-solving skills, and ability to debug AI-driven workflows.
- Knowledge of NLP, semantic search, embeddings, and agent memory management.
- Ability to work with knowledge graphs and symbolic reasoning techniques.
- Familiarity with cloud AI services (Azure AI, AWS Bedrock, Google Vertex AI) and deploying AI agents in Containerized environments like Docker, Kubernetes, AKS or Similar
- Understanding of LLMOps, including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and function calling.

**What can you expect from us**:

- Opportunities to learn and develop every day through a wide range of programs.
- Internal digital platforms that promote self-learning.
- Development programs according to Leadership skills.
- Specialized training according to the role.
- Learning experiences with internal and external providers.
- We love to celebrate success, which is why we have recognition programs for seniority, behavior, leadership, moments of life, among others.
- Financial wellness programs that will help you reach your goals in all stages of life.
- A flexibility program that will allow you to balance your personal and work life, adapting your working day to your lifestyle.
- And because your family is also important to us, they can also enjoy benefits such as our Wellness Line, thousands of Agreements and Discounts, Scholarship programs for your children, Aid Plans for different moments of life, among others.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We respect and value diversity as a work force and innovation for the organization.


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