Jobs at Proof of Skill

Build production front-end and full-stack applications for conversational, agentic, and generative AI experiences. Design real-time streaming interactions using WebSockets and SSE, create agent-readable interfaces, integrate LLM and orchestration backends, and deliver accessible, performant React and TypeScript applications. The role also shapes AI-native interaction patterns, mentors teams, and ensures compliance, security, reliability, and trust in a regulated environment.

Design and build scalable infrastructure for production-grade generative AI agents, including memory, context, state, session management, orchestration, agent-to-agent communication, tool integration, observability, reliability, security, and cost optimization. Collaborate with application, platform, and product teams to establish reusable frameworks and architectures for secure enterprise agentic systems.

Build and operate production Python and FastAPI services for extracting entities and relationships from biomedical documents, resolving entities, maintaining large-scale knowledge graphs, and combining graph and vector retrieval. Responsibilities include ontology design, deduplication, provenance, hybrid GraphRAG ranking, monitoring, and production support. The role requires expertise in knowledge-graph construction, applied NLP, entity resolution, graph databases, scalable retrieval, and cloud-native engineering.

Design and build secure, scalable enterprise application architectures spanning front end, backend services, databases, APIs, integrations, authentication, authorization, and RBAC. Define workflows, business logic, data models, persistence strategies, validation, logging, auditability, and transactional integrity. Develop backend services, collaborate with front-end teams, establish technical standards, conduct code reviews, and support testing, CI/CD, observability, and production operations.

Own the end-to-end hardware product ecosystem, from embedded architecture and sensor integration through productization, certification, contract manufacturing, sourcing, and production scale-up. Manage BOMs, vendors, quality standards, root-cause investigations, field-serviceable revisions, and regulatory compliance across India and export markets. Develop tiered sensor ecosystem offerings, mentor hardware engineers, and transition devices from pilot deployments to repeatable mass production.

Design intuitive user interfaces and improve user experience for web applications. Create wireframes, user flows, and prototypes; collaborate with product and development teams; incorporate feedback; maintain design consistency; and participate in design reviews.

Build and productionize machine learning systems for fall detection, vital monitoring, and predictive health insights using radar and sensor data. Responsibilities include feature engineering, classical ML modeling, Databricks pipelines, exploratory analysis, safety-critical model evaluation, production monitoring, and writing tested Python code. The role collaborates with hardware, data engineering, backend, and product teams to improve data quality, model reliability, and inference performance.

Own end-to-end pharmaceutical market access and patient analytics modules using SQL, Python, AI/ML, and advanced analytics. Responsibilities include modeling and transforming claims, sales, and APLD data; designing dashboards; structuring analytical problems; generating actionable insights; automating recurring analyses; mentoring analysts; ensuring quality; and partnering with stakeholders to refine requirements.

Own and productionize a web data acquisition platform combining resilient crawling with AWS Bedrock-based verification. Responsibilities include modernizing HTTP and browser crawling, implementing proxy and egress management, reverse-engineering APIs, respecting robots.txt and legal requirements, containerizing and scheduling pipelines, and building testing, observability, alerting, and canary-crawl systems. The role requires deep expertise across legacy and modern scraping stacks, anti-bot reliability, data extraction, distributed crawling, compliance, and large-scale platform ownership.

Owns paid acquisition across Meta and Google, managing campaigns, budgets, optimization, A/B testing, analytics, dashboards, and conversion funnels. The role analyzes CAC, ROAS, CPL, CTR, LTV, and attribution data to identify growth opportunities, improve user journeys, and scale winning campaigns. It also involves collaborating with creative, product, operations, and leadership teams on growth initiatives.

Maintain books of accounts, verify transactions, coordinate with external finance firms, and reconcile payment gateways, banks, marketplaces, returns, and refunds. Manage GST and TDS compliance, prepare daily sales and channel revenue reports, build financial dashboards, and analyze pricing, margins, and profitability across business channels.

Lead Zoop’s platform engineering strategy and hands-on implementation across cloud architecture, Kubernetes, internal developer platforms, infrastructure automation, CI/CD, observability, reliability, security, compliance, and FinOps. Establish reusable platform patterns, self-service environments, deployment guardrails, and MLOps foundations while improving developer productivity and controlling cloud costs. Mentor engineers and partner with product teams to execute scalable, secure infrastructure initiatives.

Supports pharmaceutical and biotechnology client projects by integrating formulary, payer, claims, patient-level, IDN, and GPO datasets. Builds data pipelines, curated datasets, database queries, BI reports, scorecards, opportunity maps, and access analyses using SQL, Python, and visualization tools. Translates coverage and treatment-journey insights into executive summaries, recommendations, access strategies, pull-through plans, and account-planning guidance for clients.

Manage end-to-end recruitment workflows from sourcing through onboarding. Screen and shortlist candidates, coordinate interviews, maintain candidate databases, communicate timely updates, and improve the overall candidate experience in a remote environment.

Execute content distribution across channels, run growth experiments, monitor marketing metrics, and support partnerships and outreach. Identify new growth channels, track performance, and maintain reports and dashboards to drive awareness and lead generation.

Manage social media content calendars and publishing across multiple client accounts. Coordinate with clients and internal creative teams, research trends, support campaign ideation, monitor performance, prepare monthly reports, and capture photo and video content for social platforms. The role is office-based in Mumbai and requires strong organization, communication, time management, and basic content strategy skills.

Manages CRM operations, customer experience, team performance, SLAs, escalations, SOPs, and retention strategy. Builds lifecycle journeys across welcome, abandoned cart, post-purchase, replenishment, cross-sell, and win-back stages. Executes WhatsApp campaigns and automated flows, develops consultative product guidance, and tracks CRM revenue, repeat purchases, campaign performance, and SLA adherence.

Drive outbound business development by identifying startups, HR professionals, and founders; conducting outreach through LinkedIn, email, and calls; pitching Proof-of-Skill; scheduling demos; managing the sales pipeline; and supporting founders with go-to-market execution. This is a remote role focused on building the company’s early revenue pipeline.

Analyze hiring and candidate data to improve decision-making, shortlisting, scoring systems, and operational efficiency. Build dashboards and reports, track hiring funnel metrics, collaborate with operations and product teams, and ensure data accuracy.

Designs, builds, and maintains ETL/ELT pipelines, data warehouses, data models, and data quality processes. Integrates data from vendors and multiple sources, performs exploratory analysis to resolve data issues, and supports end-to-end data governance and operations. The role requires client interaction, mentoring junior engineers, and expertise in Python, PySpark, SQL, cloud platforms, Snowflake, Databricks, and pharmaceutical commercial data.