AI Engineer – Technical Leader (Agentic AI & FPGA Systems)

Job Title

AI Engineer – Technical Leader (Agentic AI & FPGA Systems)

Role Summary

Senior technical leader responsible for defining architecture and driving delivery of agentic AI systems optimized for FPGA/ASIC platforms. The role sits at the intersection of LLMs, agentic/autonomous systems, RAG, and hardware-aware AI system design.

Work includes system architecture, model optimization for hardware, orchestration of multi-agent workflows, and close collaboration with hardware and EDA teams to deploy low-latency, FPGA-accelerated AI solutions.

Experience Level

Senior — technical leader / senior engineering level. Suitable for candidates with substantial experience leading large-scale AI system architecture and deployment (senior-level expectations).

Responsibilities

Lead technical strategy, system design, and hands-on delivery of AI systems that integrate software intelligence with hardware acceleration.

• Architect end-to-end agentic AI systems (data → reasoning → action) and multi-agent orchestration frameworks.
• Design and implement enterprise-grade RAG pipelines and knowledge integration workflows.
• Lead AI model optimization and deployment on FPGA, including quantization, graph compilation, operator fusion, and model partitioning.
• Develop workflows to map models (PyTorch / Hugging Face) to FPGA targets and enable low-latency inference pipelines.
• Co-design software and hardware: align model architecture with FPGA constraints (DSP, BRAM, interconnect) and integrate with EDA flows.
• Build internal platforms and reusable components (agent orchestration, memory management, tooling, retrieval/indexing).
• Lead architecture reviews, mentor engineers, and guide cross-functional teams on AI + semiconductor initiatives.

Requirements

Core technical skills and experience required to perform the role; listed as must-have and preferred.

• Must-have: Strong experience with LLMs, agentic AI or RAG systems and large-scale AI system architecture and deployment.
• Must-have: Proficient programming skills in Python and C++; experience with modern AI frameworks and production/distributed AI systems.
• Must-have: System-level thinking across software, infrastructure, and hardware acceleration targets.
• Preferred / Nice-to-have: Experience with FPGA, ASIC, or other hardware acceleration platforms and FPGA development flows (synthesis, HLS, runtime).
• Preferred / Nice-to-have: Experience in AI model optimization for hardware (quantization, compilation, deployment) and exposure to EDA tools and semiconductor workflows.
• Preferred / Nice-to-have: Background in heterogeneous compute systems (CPU/GPU/FPGA) and experience mapping LLM/CV models to hardware.

Education Requirements

Not specified.

About the Company

Company: Altera

Headquarters: Bengaluru, Karnataka, India

Altera provides leadership programmable solutions for applications ranging from cloud to edge, unveiling limitless AI possibilities. Their extensive product portfolio includes FPGAs, CPLDs, Intellectual Property, development tools, and System on Modules aimed at accelerating innovation in various fields.