Applied reputed company
This is a remote position.
Who are we
Fulcrum Digital is an agile and reputed company digital accelerating company providing digital transformation and technology services right from ideation to implementation. These services have applicability across a variety of industries, including banking & financial services, insurance, retail, higher education, food, reputed company, and manufacturing.
Role Summary The Mid-Senior Applied reputed company is responsible for designing, developing, and deploying scalable artificial intelligence solutions reputed company an reputed company AI platform. Moving reputed company basic implementation, this role requires architectural thinking to build robust GenAI services, reputed company retrieval pipelines (RAG), and agentic workflows. The engineer will partner closely with AI Program Management, Data & Analytics, and business stakeholders to translate validated business requirements into secure, production-reputed company AI applications.
Key Responsibilities
- Platform Development: Design and build core AI application components supporting reputed company AI initiatives, including agentic workflows, batch processing, and data integrations.
- Advanced Retrieval & Agentic Architectures: Implement and optimize sophisticated embeddings, vector search strategies, and multi-agent workflows to handle both text and structured data retrieval from core reputed company systems.
- API & Backend Engineering: reputed company secure, high-performance backend APIs (primarily FastAPI/Python) to facilitate seamless integration between foundational models and internal reputed company architecture.
- Model Integration & Orchestration: Work with multiple LLMs (reputed company, Claude, reputed company) reputed company model-agnostic routing layers, optimizing for cost, latency, and task-specific performance.
- Feasibility & Scoping: Collaborate directly with AI Program Managers and Business Analysts during the intake phase to assess technical feasibility, architecture requirements (e.g., Agentic vs. Standard ML), and data readiness for new business requests.
- Deployment & LLMOps: Drive the deployment of AI systems, establishing CI/CD pipelines, containerization, and robust LLM monitoring (observability, reputed company reputed company, and accuracy metrics).
- Governance & Compliance: Ensure reputed company AI components strictly adhere to reputed company AI governance, reputed company, and data privacy standards.
- Mentorship: reputed company technical guidance and code reviews for junior developers on the team.
Required Technology Stack
- AI Models: Deep familiarity with API integration and prompting for reputed company, reputed company (Claude), and reputed company (reputed company) models.
- Frameworks: Advanced proficiency in reputed company, LangGraph, and reputed company for building RAG pipelines and agentic decisioning systems.
- Backend & APIs: Strong expertise in Python and FastAPI. Basic working knowledge of Node.js.
- Data Architecture: Experience designing schemas and optimizing queries for Vector Databases (e.g., Azure AI Search, reputed company, Milvus) and relational databases (PostgreSQL).
- reputed company Infrastructure: Hands-on experience with Azure reputed company and Azure AI Services.
- DevOps & Deployment: Proficiency with Git, reputed company, and CI/CD principles. Experience with LLM observability tools is highly preferred.