Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description Job Description Summary We are seeking a passionate and skilled Backend Developer with hands-on experience in Generative AI technologies to join our growing engineering team. This role is ideal for someone who thrives on building scalable backend systems while integrating cutting-edge AI capabilities into enterprise applications Job Description Key Responsibilities: Design, develop, and maintain backend services and APIs using modern frameworks (e.g., Java Spring Boot, Node.js, or Python FastAPI). Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain ) into production environments. Fine-tune and optimize LLMs for specific use cases. Build secure, scalable, and high-performance microservices. Monitor and improve system performance, reliability, and scalability. Implement CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes). Deploy and manage applications on cloud platforms, preferably Microsoft Azure. Participate in code reviews, testing, and continuous integration processes. Required Skills & Qualifications: 3 years of backend development experience using Java Spring Boot or Python. Strong understanding of RESTful APIs, microservices architecture, and asynchronous processing. Experience working with  Generative AI APIs and/or open-source models . Experience with LangChain, LLM orchestration, or RAG (Retrieval-Augmented Generation) pipelines. Familiarity with  prompt engineering , embedding models, or  vector databases .  Strong problem-solving and debugging skills. Preferred Skills: Exposure to multi-modal AI systems and agentic AI frameworks. Exposure to MLOps and model deployment workflows. Experience with Docker, Kubernetes, and CI/CD pipelines. Experience with cloud platforms (Azure, AWS or GCP). Knowledge of frontend frameworks like React or Angular.  Education 4 year Bachelor’s Degree Experience 4 or more years of experience Supervisory Responsibilities This job does not have supervisory duties. Skills Back-End Development, Java (Programming Language), Large Language Model (LLM) Fine-Tuning, Large Language Models (LLMs), LLM Architecture, LLMOps, Machine Learning (ML), Python (Programming Language) Compensation Salary $110,000-$150,000. The candidate(s) offered this position will be required to submit to a background investigation. Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact. Allstate generally does not sponsor individuals for employment-based visas for this position. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For jobs in San Francisco, please click “ here ” for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click “ here ” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. To view the “EEO Know Your Rights” poster click “ here ”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs. To view the FMLA poster, click “ here ”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint. It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee s terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment. Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs. When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload. To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have a Valid Photo Identification available at the start of your interview. If you require any accommodations or have questions ahead of your interview please reach out to your recruiter. Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.

Requirements

Must-haves

Job Description Summary
Design, develop, and maintain backend services and APIs using modern frameworks (e.g., Java Spring Boot, Node.js, or Python FastAPI).
Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain ) into production environments.
Fine-tune and optimize LLMs for specific use cases.
Build secure, scalable, and high-performance microservices.
Monitor and improve system performance, reliability, and scalability.
Implement CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
Deploy and manage applications on cloud platforms, preferably Microsoft Azure.
Participate in code reviews, testing, and continuous integration processes.
3 years of backend development experience using Java Spring Boot or Python.
Strong understanding of RESTful APIs, microservices architecture, and asynchronous processing.
Experience working with  Generative AI APIs and/or open-source models .
Experience with LangChain, LLM orchestration, or RAG (Retrieval-Augmented Generation) pipelines.
Familiarity with  prompt engineering , embedding models, or  vector databases .
Strong problem-solving and debugging skills.

Nice-to-haves

Exposure to multi-modal AI systems and agentic AI frameworks.
Exposure to MLOps and model deployment workflows.
Experience with Docker, Kubernetes, and CI/CD pipelines.
Experience with cloud platforms (Azure, AWS or GCP).
Knowledge of frontend frameworks like React or Angular.
4 or more years of experience
Supervisory Responsibilities
This job does not have supervisory duties.
Back-End Development, Java (Programming Language), Large Language Model (LLM) Fine-Tuning, Large Language Models (LLMs), LLM Architecture, LLMOps, Machine Learning (ML), Python (Programming Language)

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aijavanode.jspythonci/cddockerkubernetesazurellmawsgcpreactangularmachine learningml

Platform: workday
Effort: long

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