Staff Engineer Agentic

About Albertsons Companies Inc. : As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week. We build and shape technology solutions that solve customers’ problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry. Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging. About Albertsons Companies India: At Albertsons Companies India, we're not just pushing the boundaries of technology and retail innovation, we're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company’s technology journey to support millions of customers’ lives every day. At the Albertsons Companies India, we are raising the bar to grow across Technology & Engineering, AI, Digital and other company functions, and transform a 165-year-old American retailer. At Albertsons Companies India associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being. Position Title: Staff Engineer Agentic Job Description: Roles & responsibilities: Full-stack development of AI-powered, merchant-facing products, spanning exploratory data analysis (EDA), model development, agentic systems, and frontend engineering (React). Architect and implement agent-based systems using tools such as OpenAI Response API, LangX, AutoGPT, or custom-built frameworks. Design and deploy systems integrating large language models (LLMs), including fine-tuning (e.g., reinforcement learning), model evaluation (OpenAI Eval Framework), prompt engineering, and retrieval-augmented generation (RAG). Apply advanced data science and optimization techniques—including deep learning, Bayesian causal inference, bandit models, and linear/integer programming—to solve real-world challenges in pricing, discounting, and promotions. Build and maintain production-grade ML pipelines and APIs (FastAPI/Flask), ensuring scalable performance and reliability. Additional Responsibilities Champion engineering best practices across CI/CD, containerization, and cloud infrastructure. Mentor junior AI engineers, offering guidance on modeling, coding, and system design. Collaborate cross-functionally with Product, Engineering, and Design teams to drive key initiatives. Communicate effectively with both technical and executive stakeholders in English. Experience: Minimum Qualifications: 7+ years of experience in data science and machine learning engineering. Proven success in delivering at least two customer-facing AI or data products at scale. Hands-on expertise in agent development using orchestration tools like LangX or similar. Deep experience with LLMs, including fine-tuning, RAG, and embedding-based retrieval. Strong foundation in optimization methods, particularly in pricing or inventory domains. Proficiency in Python, SQL, and ML/DS libraries (e.g., Scikit-learn, PyTorch, TensorFlow, Spark). Experience with cloud platforms (AWS, GCP, or Azure), Docker, and MLOps tools (MLflow, Airflow). Excellent EDA skills and the ability to derive actionable insights from complex datasets. Strong communication skills in English, both written and verbal. Demonstrated ability to mentor and contribute to a collaborative team culture. Comfortable working independently and across distributed teams. Preferred Qualifications: MS or PhD in Computer Science, Data Science, Machine Learning, Operations Research, or related field. Industry experience in grocery retail, merchandising, or related domains (e.g., personalization, demand forecasting). Familiarity with real-time data pipelines and distributed systems (Kafka, Spark). Experience with SaaS platforms, consumer-facing technologies, or marketplaces. Competencies: Compassionate and kind, showing courtesy, dignity, and respect. They show sincere interest and empathy for all others. Show integrity in what is done and how it is done - without sacrificing personal/business ethics. Embrace an inclusion-focused mindset, seeking input from others on their work and encouraging the open expression of diverse ideas and opinions Team-oriented, positively contributing to team morale and willing to help. Learning-Focused, finding ways to improve in their field and use positive constructive feedback to grow personally and professionally Must Have Skills: Full-Stack AI Product Development – From EDA and modeling to frontend (React) and backend (FastAPI/Flask). Agent-Based System Architecture – Using LangX, AutoGPT, or custom frameworks. LLM Integration & Fine-Tuning – Including RAG, prompt engineering, and reinforcement learning. Advanced Data Science & Optimization – Deep learning, causal inference, bandits, and mathematical programming. Production-Ready ML Engineering – Scalable pipelines, APIs, CI/CD, and cloud deployment.