Job DescriptionJob 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 Experience - 4 or more years of experience
Supervisory Responsibilities - This job does not have supervisory duties.
SkillsBack-End Development, Java (Programming Language), Large Language Model (LLM) Fine-Tuning, Large Language Models (LLMs), LLM Architecture, LLMOps, Machine Learning (ML), Python (Programming Language)
CompensationSalary $110,000-$150,000.
The candidate(s) offered this position will be required to submit to a background investigation.
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.
