NOIDA · FULLTIME
Sr. Forward Deployed Engineer
Proffer It Consultancy
Noida · onsite · Posted 21d ago
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Undisclosed7–12 yrsfulltimeNoida
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Section · 01
About this role
Position Name: Sr. Forward Deployed Engineer
Location: Flexible / Client-Site (Hybrid as required)
Experience: 7+ Years
About BinQle
BinQle is a global delivery and execution partner supporting enterprises across the US, India, Singapore and Australia. We specialize in structured hiring, managed teams, and long-term delivery support.
Role Summary:
Lead the design, deployment, and integration of AI/LLM solutions directly within client environments. Take full ownership of production-grade AI application delivery, troubleshooting, and stakeholder collaboration.
What Youll Do:
- Work directly within client ecosystems to integrate AI solutions into existing systems
- Design and build production-grade AI/LLM applications (not just prototypes)
- Develop and deploy APIs, integrations, and backend systems supporting AI use cases
- Build LLM-powered applications (tool calling, RAG, multi-step orchestration/agent workflows)
- Own deployment processes to ensure successful go-live and user adoption
- Troubleshoot and resolve production issues post-deployment
- Collaborate with client stakeholders, engineers, and product teams
- Clearly articulate technical decisions, trade-offs, and architecture choices
What We re Looking For (Must-Haves):
- 7+ years of hands-on engineering experience with real delivery ownership
- Proven track record building and shipping production systems
- Strong client-facing / embedded delivery experience within real-world constraints
- End-to-end project ownership of at least two production-grade systems
- Backend or full-stack development expertise (Python preferred; Java, Node.js, or TypeScript also considered)
- Hands-on LLM / AI application development (RAG pipelines, agent workflows, tool calling) with frameworks such as LangChain, LlamaIndex, LangGraph, Semantic Kernel, or direct LLM APIs
- Cloud-native development experience with at least one major platform (AWS, Azure, GCP)
- Production deployment and DevOps practices (Docker, Kubernetes, CI/CD tools)
- Experience with data, integration, and observability stacks (REST/GraphQL APIs, event-driven systems, SQL/NoSQL databases, vector DBs, monitoring tools)
Good to Have (Optional - only if mentioned):
- Experience with multiple cloud platforms
- Frontend experience (React preferred)
- Experience building monitoring/alerting systems
- Understanding of Responsible AI and data governance
- Startup or high-growth environment experience
- Mentorship or team leadership experience
Qualifications:
As per requirement
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Location: Flexible / Client-Site (Hybrid as required)
Experience: 7+ Years
About BinQle
BinQle is a global delivery and execution partner supporting enterprises across the US, India, Singapore and Australia. We specialize in structured hiring, managed teams, and long-term delivery support.
Role Summary:
Lead the design, deployment, and integration of AI/LLM solutions directly within client environments. Take full ownership of production-grade AI application delivery, troubleshooting, and stakeholder collaboration.
What Youll Do:
- Work directly within client ecosystems to integrate AI solutions into existing systems
- Design and build production-grade AI/LLM applications (not just prototypes)
- Develop and deploy APIs, integrations, and backend systems supporting AI use cases
- Build LLM-powered applications (tool calling, RAG, multi-step orchestration/agent workflows)
- Own deployment processes to ensure successful go-live and user adoption
- Troubleshoot and resolve production issues post-deployment
- Collaborate with client stakeholders, engineers, and product teams
- Clearly articulate technical decisions, trade-offs, and architecture choices
What We re Looking For (Must-Haves):
- 7+ years of hands-on engineering experience with real delivery ownership
- Proven track record building and shipping production systems
- Strong client-facing / embedded delivery experience within real-world constraints
- End-to-end project ownership of at least two production-grade systems
- Backend or full-stack development expertise (Python preferred; Java, Node.js, or TypeScript also considered)
- Hands-on LLM / AI application development (RAG pipelines, agent workflows, tool calling) with frameworks such as LangChain, LlamaIndex, LangGraph, Semantic Kernel, or direct LLM APIs
- Cloud-native development experience with at least one major platform (AWS, Azure, GCP)
- Production deployment and DevOps practices (Docker, Kubernetes, CI/CD tools)
- Experience with data, integration, and observability stacks (REST/GraphQL APIs, event-driven systems, SQL/NoSQL databases, vector DBs, monitoring tools)
Good to Have (Optional - only if mentioned):
- Experience with multiple cloud platforms
- Frontend experience (React preferred)
- Experience building monitoring/alerting systems
- Understanding of Responsible AI and data governance
- Startup or high-growth environment experience
- Mentorship or team leadership experience
Qualifications:
As per requirement
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
NoSQLTroubleshootingorchestrationgoogle cloud platformMonitoring ToolsBackendPythonSQLData GovernanceApplication Development