Sr Staff Engineer Agentic [T500-21075]

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 : Sr Staff Engineer Agentic

Job Description :

Roles & responsibilities :

Lead full-stack development of AI-powered, merchant-facing products, from EDA to model development to agentic systems to frontend development (React).

Architect and implement agent-based systems using tools like OpenAI Response API, LangX, AutoGPT, or custom frameworks.

Design and deploy systems that incorporate LLMs, including fine-tuning (Reinforcement Learning), model evaluations (OpenAI Eval Framework), prompt engineering, and retrieval-augmented generation (RAG).

Apply advanced data science (custom deep learning models, Bayesian Causal Inference models, Bandit models, DPO-based reinforcement learning), optimization techniques (e.g., linear / integer programming, heuristics) to real-world use cases in pricing, discounting, and promotions.

Conduct thorough exploratory data analysis (EDA) to inform data hypotheses and model development.

Develop and maintain production-ready ML pipelines, APIs (FastAPI / Flask), and data services with scalable performance.

Drive engineering best practices across model deployment, CI / CD, containerization, and cloud services.

Mentor and coach junior AI Engineers, providing feedback, guidance, and support on modeling and coding best practices.

Work autonomously, taking ownership of key initiatives while collaborating cross-functionally with Product, Engineering, and Design.

Communicate clearly and effectively—both written and verbally in English—to technical and executive audiences.

Experience :

Minimum Qualifications :

10+ years of experience in data science and ML engineering.

Demonstrated success shipping at least two customer-facing AI or data products at scale.

Expertise in agent development, leveraging modern orchestration tools like LangX or equivalent.

Deep hands-on experience with LLMs, including fine-tuning, RAG, and embedding-based retrieval.

Strong command of optimization methods, especially in domains like pricing or inventory.

Advanced skills in conventional ML algorithms, with strong intuition around their strengths, weaknesses, and trade-offs.

Proficiency in Python, SQL, and ML / DS libraries (e.g., Scikit-learn, PyTorch, TensorFlow, Spark).

Experience with cloud services (AWS, GCP, or Azure), Docker, and MLOps tools (MLflow, Airflow, etc.).

Strong exploratory data analysis skills and the ability to extract and communicate actionable insights.

Excellent written and verbal English communication skills.

Proven ability to mentor junior team members and contribute to a collaborative, high-performance team culture.

Ability to operate with a high degree of autonomy and ownership.

Ability to work with geographically dispersed teams across multiple time zones.

Preferred Qualifications :

MS or PhD in Computer Science, Data Science, Machine Learning, Operations Research, or a related field.

Industry experience in grocery retail, grocery, or merchandising, particularly in areas like personalization, demand forecasting, or promotion optimization.

Familiarity with real-time data pipelines and distributed systems (Kafka, Spark, etc.).

Experience with SaaS, consumer platforms, or marketplace technologies.

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 :

Frontend Skills : HTML / CSS / JavaScript / ReactJS / AngularJS / Bootstrap

Backend Skills : Spring Boot / Node.js / REST APIs / Express.js

Agent Development (LangX)

AI / Data Products

Conventional ML algorithms