Senior Software Developer(Python)

Role: Senior Software Developer(Python)

Location: Hybrid/Remote

Experience: 5-7 Years

Reports to: Founder / Engineering Head

About Our Client

Our client is a fast-growing AI-driven technology company focused on building scalable, enterprise-grade solutions. They specialize in AI systems, cloud architecture, and custom software development for global clients.

Key Responsibilities:

• End-to-end solution design — from architecture planning to post-deployment optimization
• Lead engineering execution alongside architecture (hands-on role)
• Own DevOps, CI/CD pipelines, and deployment processes
• Drive performance optimizations across the engineering stack
• Build and ship real-world, user-facing AI/agentic applications
• Take end-to-end product ownership, including partner-facing deliverables
• Lead and mentor the engineering team
• Design and implement multi-agent orchestration architectures — including agent routing, task   delegation, memory, and inter-agent communication patterns
• Architect semantic layers — knowledge graphs, vector stores, retrieval pipelines, and structured data abstraction for AI consumption
• Present and explain architecture decisions clearly to both technical and non-technical stakeholders

Must-Have Technical Skills:

Python (primary language — must be strong)

System design (non-negotiable — must be top-notch)

Agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen, or similar)

Proven experience building agentic AI applications end-to-end

Multi-agent orchestration — designing supervisor/worker agent hierarchies, tool-use patterns, and stateful agent workflows

Semantic layer architecture — RAG pipelines, embedding strategies, vector databases (Pinecone, Weaviate, pgvector), and knowledge retrieval design

GenAI system design — ability to architect scalable LLM-powered systems, including prompt pipelines, context management, model routing, and output validation layers

GenAI infrastructure — experience designing for latency, cost, and reliability trade-offs across LLM providers (OpenAI, Anthropic, Gemini, open-source models)

DevOps & CI/CD (GitHub Actions, Docker, Kubernetes, or equivalent)

Post-deployment monitoring, scaling, and optimization


Experience:
Minimum 5+ years, strongly preferred 7+
 Must have shipped real-world, user-facing products (not just internal tools or prototypes)
 Proven team lead experience

Nice to Have:
Experience with cloud platforms (AWS / GCP / Azure)
Background in AI product development or AI startups