Senior AI Software Engineer
About The Position
The AI Software Engineer designs, develops, deploys, and supports secure AI-powered enterprise applications, intelligent automation solutions, and system integrations that enable critical business operations. Working across backend services, frontend experiences, cloud-native architectures, and AI engineering, this role delivers scalable, reliable solutions to complex business challenges. The ideal candidate combines software engineering expertise with hands-on experience in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and cloud-native technologies. This role includes ownership of technical solutions, participation in architectural discussions, and collaboration with business, legal, and technology teams to deliver innovative AI-driven products while adhering to governance, compliance, privacy, and security standards.
Requirements
- 3+ years of software development experience using Python and/ or Java Spring Boot.
- 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 understanding of RESTful APIs, microservices architecture, and asynchronous processing.
- Knowledge of web and API security frameworks.
- Experience with relational databases NoSQL databases (MongoDB, DocumentDB), vector databases, Kafka, caching, and Kubernetes.
- Strong communication, collaboration, and problem-solving skills.
- Ability to manage multiple priorities and contribute effectively within a cross-functional team.
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.
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.
- Design and implement solutions leveraging LLMs, Generative AI, Agentic AI, and Retrieval-Augmented Generation (RAG) architectures.
- Fine-tune and optimize LLMs for specific use cases.
- Collaborate with product managers, architects, and cross-functional teams to define technical solutions and deliver business outcomes.
- Integrate AI/ML services and APIs into enterprise applications while following engineering and security best practices.
- Develop intelligent automation solutions that improve productivity, user experience, and operational efficiency.
- Troubleshoot, optimize, and enhance application performance, scalability, and reliability.
- Contribute to technical documentation, architecture discussions, and continuous improvement initiatives.
- Deploy and manage applications on cloud platforms, preferably Microsoft Azure.
- Participate in Agile ceremonies, including daily standups, sprint planning, backlog refinement, and retrospectives.
- Actively contribute to software development efforts by writing, reviewing, and maintaining high-quality, scalable, and secure code.
Benefits
- Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse.
- Monthly connectivity reimbursement to help offset internet costs for eligible remote employees.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
