Lead Software Engineer

About Quantiphi:

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

Company Highlights:

Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead. Headquartered in Boston, with 4,000+ Quantiphi professionals across the globe. As an Elite/Premier Partner for Google Cloud, AWS, NVIDIA, Snowflake, and others, we’ve been recognized with:

• 17x Google Cloud Partner of the Year awards in the last 8 years.
• 3x AWS AI/ML award wins.
• 3x NVIDIA Partner of the Year titles.
• 2x Snowflake Partner of the Year awards.
• We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.
• We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
• We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!

For more details, visit: Website or LinkedIn Page.

Work Location: East Coast (USA)

Description:

We are seeking an Lead– Software Development to lead the design and development of robust, scalable, and performant backend systems that power next-gen intelligent applications.

This architect will lead the design and implementation of backend service architecture and APIs for the Agentic platform. They’ll define service contracts, work with customer teams to understand integration points (identity, health data, logging, observability), and steer an offshore backend development team building these services. Strong ownership of developer experience, API quality, and interoperability with legacy systems is critical.

Responsibilities:

• Architect and maintain reliable, versioned APIs with strong backward compatibility for internal and external integrations.
• Deliver scalable microservices and async systems designed for high throughput, low latency, and real-time streaming.
• Set engineering standards across API design, testing, documentation, and CI/CD automation.
• Guide backend and frontend teams by providing clear HLD/LLD artifacts, conducting peer reviews, and ensuring clean architecture adoption.
• Champion telemetry integrations—logging, metrics, and tracing—across services to enhance system observability and debuggability.
• Publish client SDKs, Postman collections, and developer-focused portals to ease service consumption and onboarding.
• Mentor engineers, drive architectural clarity, and align backend strategies with product vision.
• Collaborate with AI/ML teams to integrate agent orchestration frameworks and model-serving platforms.

Required Skills:

• Expertise in backend development using Python (FastAPI) and/or TypeScript (Node.js).
• Proven experience defining API contracts using OpenAPI, Swagger, gRPC, and Postman, with a strong contract-first development mindset.
• Deep understanding of microservices, event-driven and asynchronous system design, leveraging Kafka, RabbitMQ, or similar message brokers.
• Mastery of asynchronous programming, multiprocessing, and real-time streaming via WebSockets, Kafka streams, or media pipelines.
• Practical experience with cloud-native development (AWS, GCP, Azure), including autoscaling, serverless, API gateways, and managed databases.
• Hands-on experience with API lifecycle management—authentication, versioning, rate limiting, and throttling.
• Proficient in Docker, Git-based version control, and container orchestration workflows.
• Deep commitment to automated testing strategies, including TDD/BDD, unit, integration, and contract testing.
• Strong command of CI/CD pipelines, environment promotion strategies, and infrastructure-as-code principles.
• Skilled at producing HLD/LLD documentation, UML/sequence diagrams, and applying relevant design patterns for system resilience and scalability.
• Ownership of software release cycles, ensuring zero-downtime deployments and rollback strategies.

Good to Have Skills:

• Exposure to LLM orchestration (LangChain, LlamaIndex), prompt engineering, and tool-calling frameworks.
• Experience with RAG architectures, vector DBs (Milvus, Pinecone, PGVector), and MLOps frameworks (NVIDIA Triton, KServe).
• Understanding of Model Context Protocol (MCP) and Agent-to-Agent toolkits for advanced agent workflows.
• Clinical/life sciences exposure, including FHIR, clinical systems integration, or healthcare data privacy standards.
• Strong UX awareness to influence AI-driven product design and user journeys.
• End-to-end experience architecting AI-powered applications with measurable impact.

What is in it for you:

• Be part of a team and company that has won NVIDIA's AI Services Partner of the Year three times in a row with an unparalleled track record of building production AI applications on DGX and Cloud GPUs.
• Strong peer learning which will accelerate your learning curve across Applied AI, GPU Computing and other softer aspects such as technical communication.
• Exposure to working with highly experienced AI leaders at Fortune 500 companies and innovative market disruptors looking to transform their business with Generative AI.
• Access to state-of-the-art GPU infrastructure on the cloud and on-premise.
• Be part of the fastest-growing AI-first digital transformation and engineering company in the world