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Channel Fusion
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Chandigarh · On-site · 5-8 Yrs · Sep 24
1 views
Advertising & Public Relations · 51 to 200 Employees · Hiawatha, US
3 open roles0 posted in 7d3 in 30d
Work-life balance 4.5Compensation & benefits 3.8Culture & values 4.5
Hiring: Engineering
What employees say
+ Flexible time for some team
− Very low growth rate as company is on downside
More reviews on the company profile.
Interview experience · Team Manager
interview process was very easy anyone can crack, old designed queries , no proper setup to conduct interviews, every year they have new HR manager is changing when HR doesn't stick to company what the other employees wi
India · 1 reports
More interview insightsJob description
Overview
About Channel Fusion
Responsibilities
- Build intelligent agents that automate engineering, product, and support, and operational workflows against FPM-defined requirements.
- Develop multi-agent systems capable of planning, reasoning, and task execution.
- Create reusable agent frameworks and libraries that accelerate development across teams.
- Build workflow automation using tool calling, memory, and orchestration patterns.
- Integrate AI solutions with internal and external business systems.
- Develop secure API and data access frameworks.
- Create retrieval-augmented generation (RAG) systems leveraging enterprise knowledge.
- Design scalable architectures supporting both internal and customer-facing AI capabilities.
- Lead and mentor a small team of AI engineers delivering against the FPM-defined roadmap.
- Set coding standards, design patterns, and agent-engineering best practices for the team.
- Run architecture reviews and technical design sessions.
- Coordinate with other Lead Developers to align on standards for any agents touching shared engineering systems.
- Build monitoring, logging, evaluation, and performance frameworks for AI systems.
- Optimize model utilization, token consumption, and overall platform costs.
- Implement CI/CD pipelines for AI applications and agent deployments.
- Ensure security, compliance, reliability, and maintainability of AI services.
Qualifications
- 5+ years of professional software engineering experience.
- 2+ years building production AI-enabled applications.
- Prior experience leading a small team or serving as a technical lead on a delivery team.
- Expert-level Python development.
- Strong understanding of software architecture and design patterns.
- Strong SQL and data integration capabilities.
- AI & Agentic Frameworks: LangGraph, CrewAI, Microsoft Semantic Kernel, AutoGen, OpenAI Agents Fraemwork, Anthropic APIs, or Azure OpenAI services.
- Agentic System Development: Multi-agent orchestration systems, tool calling workflows, RAG, prompt management frameworks, knowledge retrieval systems, autonomous workflow automation, eveluation/benchmarking frameworks.
- Cloud & Infrastructure: Azure Functions, Azure AI Services, Azure Kubernetes Services (AKS), Azure API Management, event-driven architectures, observability/monitoring platforms.
- Modern Engineering Practices: GitHub Copilot, AI-Assisted software development, test automation, Infrastructure as Code, secure SDLC practices, DevSecOps methodologies.
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Job application FAQ
Last updated 24 September 2026
- How do I apply for Lead AI Platform Engineer at Channel Fusion?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Channel Fusion may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Lead AI Platform Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Lead AI Platform Engineer remote or on-site in Chandigarh?
- This listing is marked on_site with location Chandigarh. Confirm details on the job description before applying.
- What skills matter for this Lead AI Platform Engineer role at Channel Fusion?
- This is a lead Lead AI Platform Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.