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
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
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-end
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