POC Engineer (Proof of Concept Engineer)

Ovii's Interpretation of the Role

The POC Engineer will design, build, and deliver AI‑driven proof‑of‑concept solutions for Fortune 500 clients, bridging cutting‑edge LLM technology with enterprise software. The role blends deep technical expertise, rapid prototyping, and direct customer interaction to showcase Blitzy’s autonomous development platform.

Role Snapshot

• Lead technical POC design & delivery
• Enterprise AI solution engineering
• Customer‑facing technical consulting
• Mentor and guide engineering team
• Scale prototypes to production‑grade architecture

Must-Have Requirements

• AI/ML (LLMs, agentic systems)
• Cloud platforms (AWS, GCP, Azure)
• Programming languages (Python, TypeScript/JavaScript, Go, Java, C++)
• Enterprise‑grade software architecture
• Performance optimization
• Technical consulting with enterprise customers
• Leadership and mentoring of engineers
• enterprise software development
• AI/ML technologies (LLMs, agentic systems)
• production‑grade system delivery

Nice-to-Have Signals

• GPU‑based computing and optimization
• Sequence‑to‑sequence models and deep neural networks
• Agentic workflow orchestrator experience
• Responsible AI practices
• Distributed team leadership across geographies
• Patents, publications, or open‑source contributions
• GPU computing
• agentic workflow orchestration
• responsible AI
• M.S. or Ph.D. in Computer Science, Engineering, or related field
• Fortune 500 enterprise customers

Work Setup

• Location: Pune, India
• Work mode: ONSITE
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Design and implement end‑to‑end proof‑of‑concept solutions that demonstrate platform capabilities
• Collaborate directly with Fortune 500 clients to capture requirements and define success criteria
• Rapidly prototype AI‑driven features using LLMs, multimodal models, and agentic workflows
• Create scalable, production‑ready architectures that can transition from POC to full deployment
• Analyze performance, identify bottlenecks, and optimize for speed, efficiency, and reliability
• Produce clear technical documentation and present architecture decisions to both technical and executive audiences
• Partner with Sales, Product, and Engineering to feed customer feedback into platform improvements
• Stay current with AI/ML advances and propose innovative techniques for future POCs

Good Fit If You Have

• Experience with GPU‑accelerated computing
• Background in building multi‑agent or workflow orchestration systems
• Advanced degree (M.S. or Ph.D.) in Computer Science or related field
• History of leading distributed engineering teams
• Contributions to patents, publications, or open‑source projects