Full Stack Developer

About the Role

We're looking for a Full Stack Developer with deep expertise in AI-driven architectures, agentic systems, and cloud-native development. You'll build intelligent, scalable web applications and contribute to cutting-edge AI workflows — from orchestration and retrieval to vector-based search and human-in-the-loop pipelines.

This role combines traditional full stack engineering with modern AI system design and cloud infrastructure management, ensuring our AI applications are performant, secure, and production-ready.

Key Responsibilities AI & Agentic Systems Development

• Design and build multi-step agentic systems using LangGraph (preferred) or LangChain graphs.
• Implement planning/orchestration logic, tool usage, retries/timeouts, guardrails, and agent memory (short-term, episodic, semantic, and vector).
• Build human-in-the-loop features, including review/approval gates, correction loops, escalation paths, and audit trails.
• Develop and optimize Advanced RAG pipelines:
  • Chunking strategies
  • Hybrid search (BM25 + vector)
  • Parent-child / graph RAG
  • Query rewriting & reranking
  • Grounding with citations, hallucination control, and evaluation workflows.
    
• Work with vector databases (pgvector, Qdrant, Milvus, Weaviate, Pinecone) and understand HNSW/IVF parameters, recall/latency tradeoffs, sharding, compaction, and embeddings versioning/caching.
  

Full Stack Development

• Design and implement front-end (React, , or similar) and back-end , Python/FastAPI, or similar) applications.
• Build scalable APIs and integrate with AI pipelines and microservices.
• Ensure performance, security, and maintainability through clean architecture, testing, and CI/CD pipelines.
• Collaborate cross-functionally with product, design, and ML teams.
  

Cloud Engineering & Infrastructure

• Develop, deploy, and maintain applications in cloud environments (AWS, GCP, or Azure).
• Use cloud-native tools and services for containerization, orchestration, and monitoring.
• Design scalable, fault-tolerant architectures supporting AI workloads and vector database deployments.
• Manage networking, storage, and security configurations aligned with best practices.
• Optimize performance and cost efficiency in multi-environment setups (dev/staging/prod).
  
  

Required Skills & Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
• 4+ years of experience as a Full Stack Developer working across front-end and back-end technologies.
• Proven hands-on experience with cloud platforms (AWS, GCP, or Azure).
• Strong proficiency in JavaScript/TypeScript, Python, and modern frameworks.
• Experience in building or integrating AI/LLM-powered systems and agentic workflows.
• Familiarity with LangGraph or LangChain.
• Deep understanding of vector databases and RAG systems.
• Strong grasp of distributed systems, data flow, and security fundamentals.
  

Nice-to-Have

• Experience with infrastructure as code (Terraform, CloudFormation, or Pulumi).
• Exposure to Kubernetes, serverless, and container orchestration.
• Experience fine-tuning or evaluating LLMs and open-weight models.
• Familiarity with monitoring/observability (Prometheus, Grafana, OpenTelemetry).
• Contributions to open-source AI or cloud projects.

What We Offer

A competitive salary, company merchandise, and the chance to grow with a high-speed startup.

Clear career progression and access to learning & development programs.

High bonus scheme: ability to double (or more) base salary with a lucrative incentive structure.

A vibrant workspace in the Beirut Digital District.

Team events, dinners, and bonding activities that make work more fun.

Our Interview Process

We keep it simple, transparent, and engaging:

• Initial Screening Interview
• Case Study Interview 
• In-Person Interview + Meet the Team
• Offer Call

A Note from Us

At Infoquest, diversity is our strength. We're committed to creating a workplace that is fair, equitable, and welcoming for everyone regardless of race, ethnicity, or background.

"Don't worry if you don't match every requirement. What matters most is your drive, potential, and willingness to learn."

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