Job Description
Summary
Our client is seeking a GenAI Full-Stack Developer with strong expertise in Python, LangChain, LangGraph, vector databases, and AI-driven application development. This role focuses on building advanced generative AI systems, agentic workflows, and scalable backend services in a hybrid environment.
Key Responsibilities
- Design and develop end-to-end GenAI applications using Python, LangChain, and LangGraph.
- Build and optimize agent-based AI workflows including tools, memory, orchestration, and multi-agent systems.
- Implement and manage vector databases for RAG workflows (Chroma, Pinecone, Weaviate, FAISS).
- Architect scalable backend APIs, inference layers, and data pipelines.
- Integrate LLMs into production systems with strong prompt engineering and evaluation practices.
- Collaborate with cross-functional teams across data, engineering, and product.
- Optimize performance, cost, latency, and system reliability.
- Support frontend integrations with frameworks such as React.js or Next.js.
- Stay current with advancements in generative AI and propose innovative solutions.
Required Qualifications
- 3+ years of software engineering or equivalent experience.
- Strong proficiency in Python for backend and AI development.
- Hands-on experience with LangChain and LangGraph.
- Deep expertise with vector databases and RAG architectures.
- Solid understanding of LLMs, embeddings, and prompt engineering.
- Experience building APIs and full-stack applications (FastAPI, Flask, Node).
- Knowledge of cloud platforms including AWS, Azure, or Google Cloud.
- Strong debugging and problem-solving skills.
Preferred Qualifications
- Experience deploying AI systems into production environments.
- Familiarity with MLOps tools such as MLflow, Weights & Biases, Docker, Kubernetes.
- Experience with frontend frameworks for GenAI UI development.
- Contributions to open-source GenAI projects or portfolio demonstrating agentic systems.
Tech Stack
Python, LangChain, LangGraph, Vector Databases (Chroma, Pinecone, Weaviate, FAISS), FastAPI/Flask, React.js, Docker, Kubernetes, AWS/Azure/Google Cloud Platform.
Compensation & Benefits
Competitive compensation aligned with market standards.
Health benefits, PTO, remote flexibility (varies by client).
Work Schedule
Monday–Friday, hybrid schedule with 2 onsite days per week.
About the Client
Our client is a growing technology-focused organization committed to building scalable digital solutions.
Why Join the Team?
- Work on cutting-edge GenAI and agent-based systems.
- Collaborate with a highly skilled engineering team.
- Opportunity to influence next-generation AI product development.
How to Apply
Submit your resume to people@ignitetalentpartners.com. Shortlisted candidates will be contacted.