openashbyhqacp
POC Engineer (Proof of Concept Engineer)
Blitzy
LocationIndia HQ
WorkplaceOnSite
EmploymentFullTime
Posted2026-05-26T13:29:05.243+00:00
Last observed2026-06-13 05:24:02.846368
Job idacp-blitzy-2-81718d02-b50e-4d68-8f8a-71d5c4f67de6:ashbyhq:8cd7e2b8-9b9e-4deb-8d9f-3904177b765d
ABOUT BLITZY Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into production-ready code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups. THE ROLE We're seeking an experienced POC Engineer to join our India HQ2 team. This critical role sits at the intersection of cutting-edge AI technology and enterprise customer success. You'll lead the technical design, development, and delivery of proof-of-concept implementations that demonstrate the transformative power of Blitzy's agentic software development platform to Fortune 500 clients. This role requires deep technical expertise, strong customer-facing skills, and the ability to rapidly prototype and iterate on complex AI-driven solutions. WHAT YOU'LL DO - Lead Technical Pilots and POCs: Design, architect, and implement end-to-end proof-of-concept solutions that showcase Blitzy's platform capabilities to enterprise customers - Customer Collaboration: Work directly with Fortune 500 clients to understand their technical requirements, challenges, and success criteria for POC engagements - Rapid Prototyping: Build functional demonstrations and prototypes that prove technical feasibility and business value, often under tight timelines - AI/ML Integration: Leverage LLMs, agentic workflows, and multimodal AI capabilities to solve complex customer use cases - Technical Architecture: Design scalable, production-grade architectures that can transition from POC to full implementation - Performance Optimization: Conduct performance analysis, identify bottlenecks, and optimize solutions for speed, efficiency, and reliability - Documentation & Knowledge Transfer: Create comprehensive technical documentation and effectively communicate architecture decisions to both technical and non-technical stakeholders - Cross-functional Collaboration: Partner with Sales, Product, and Engineering teams to refine platform capabilities based on customer feedback - Innovation Leadership: Stay at the forefront of AI/ML advances and identify opportunities to incorporate new techniques into POC solutions WHAT WE'RE LOOKING FOR REQUIRED QUALIFICATIONS - 10+ years of software engineering experience with proven track record in enterprise software development and production systems - Deep expertise in AI/ML technologies, particularly with LLMs, agentic systems, and generative AI applications - Strong background in building enterprise-grade solutions that have shipped to production - Extensive experience with modern software architecture, including cloud-based platforms (AWS, GCP, or Azure) - Proficiency in multiple programming languages (Python, TypeScript/JavaScript, Go, Java, or C++) - Demonstrated experience leading technical teams and mentoring engineers - Proven ability to translate complex technical concepts for diverse audiences - Track record of working directly with enterprise customers in technical consulting or solutions engineering capacity - Strong analytical and problem-solving skills with focus on performance optimization - Excellent communication skills with ability to present to C-level executives PREFERRED QUALIFICATIONS - Background in developing AI agentic workflow orchestrators or similar multi-agent systems - Experience with GPU-based computing and optimization - Experience with sequence-to-sequence models and deep neural network architectures - M.S. or Ph.D. in Computer Science, Engineering, or related field - Experience leading distributed teams across geographies - Track record of innovation (patents, publications, or open-source contributions) - Experience with Responsible AI
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