Role: Senior Software Developer(Python)
Location: 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-endMulti-agent orchestration designing supervisor/worker agent hierarchies tool-use patterns and stateful agent workflowsSemantic layer architecture RAG pipelines embedding strategies vector databases (Pinecone Weaviate pgvector) and knowledge retrieval designGenAI system design ability to architect scalable LLM-powered systems including prompt pipelines context management model routing and output validation layersGenAI 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
Role: Senior Software Developer(Python) Location: 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 a...
Role: Senior Software Developer(Python)
Location: 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-endMulti-agent orchestration designing supervisor/worker agent hierarchies tool-use patterns and stateful agent workflowsSemantic layer architecture RAG pipelines embedding strategies vector databases (Pinecone Weaviate pgvector) and knowledge retrieval designGenAI system design ability to architect scalable LLM-powered systems including prompt pipelines context management model routing and output validation layersGenAI 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
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Posted on:
9 hours ago
Vacancies:
1 Vacancy
