Hi ,
Hope you are doing well.
Please go through the following requirements and let me know with your updated resume if you are comfortable.
Job Title: Full Stack Development (FSD) Manager – GenAi Solutions
Location: Charlotte, NC – Need Locals – 2nd round F2F
Employment Type: Long term contract
About the Role
We are seeking a seasoned Full Stack Development Manager to lead the delivery of cutting-edge Generative AI (GenAI) solutions. This role involves managing end-to-end development of intelligent, scalable applications that integrate Large Language Models (LLMs) and modern web technologies. You will collaborate with cross-functional teams including FSD, Data Engineers, python Developers, GenAi Developers and business stakeholders to drive innovation and deliver impactful AI-powered products.
Key Responsibilities
- Technical Leadership: Lead the design, development, and deployment of full-stack GenAI applications.
- GenAI Integration: Oversee integration of LLMs via APIs (OpenAI, Azure OpenAI, Hugging Face, LangChain, etc.) into business workflows.
- Frontend Development: Guide teams in building responsive, user-friendly UIs using frameworks like React, Angular, or Vue.
- Backend Development: Architect and manage scalable APIs and microservices using Node.js, Python, or Java.
- Data Integration: Ensure seamless connectivity with databases, data pipelines, and vector stores (e.g., Pinecone, FAISS).
- Prompt Engineering & RAG: Collaborate on prompt design and retrieval-augmented generation flows.
- DevOps & Deployment: Implement CI/CD pipelines and manage cloud deployments (AWS, Azure).
- Stakeholder Collaboration: Work closely with product managers, designers, and ML engineers to align technical delivery with business goals.
Required Skills & Qualifications
- Programming Expertise: Strong proficiency in JavaScript/TypeScript and backend languages (Python, Java).
- Frontend Frameworks: Deep experience with Angular (v8+), React, and state management tools (NgRx, Redux, Zustand).
- Backend Technologies: Proven experience with Spring Boot, RESTful APIs, GraphQL, and microservices.
- Database Knowledge: Hands-on with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB).
- GenAI Tools: Familiarity with LLM APIs, prompt engineering, and vector databases.
- Cloud & DevOps: Experience with AWS, Azure, or GCP; containerization (Docker, Kubernetes); CI/CD pipelines.
- Version Control: Proficient in Git and collaborative development workflows.
- Problem Solving: Strong analytical and debugging skills.
Preferred Qualifications
- Experience with LangChain, LlamaIndex, or similar orchestration frameworks.
- Understanding of RAG architecture and embeddings.
- Exposure to NLP, ML pipelines, or model fine-tuning.
- Familiarity with enterprise SDLC processes.
- Sensitivity to UI/UX for AI-assisted applications .
Thanks
Sathish Korapati
Technical Recruiter
