Software Engineering Lead – Data Services

🕒 September 5

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Firmable

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

B2B • SaaS • Artificial Intelligence

Firmable is an AI-native B2B sales platform that provides company and contact data, prospect list building, automated buying-signal monitoring, and CRM enrichment. It uses LLMs and agentic AI to assemble and refresh data across hundreds of sources, surface high-intent accounts (role changes, funding, search intent, technology adoption, vertical signals), and generate CRM tasks to guide timely outreach. Firmable integrates with major CRMs (HubSpot, Salesforce, Dynamics, Pipedrive), browser extensions, and other tools, and is positioned as an alternative to legacy data providers like ZoomInfo and Apollo, targeting sales leaders, account executives, SDRs, revenue operations, marketing, and recruiters. The product is offered as a SaaS with terms aimed at smaller and mid-market teams (no enterprise-only contracts or auto-renew traps) and is used by 1,300+ businesses.

📋 Description

• Own the function responsible for backend services, RESTful APIs, and AI/LLM systems powering Firmable products • Lead two engineering pods through their team leads while remaining approximately 80% hands-on • Design backend and API architecture for Python services using FastAPI, Pydantic, and Logfire • Own data modelling, schemas, access patterns, and data integrity across PostgreSQL, Snowflake, and DynamoDB • Build and operate production AI/LLM services and agents with versioned tools, prompts, schemas, traces, and evaluations • Develop agent runtime infrastructure including tool-calling and MCP server layers, structured-output validation, bounded agentic loops, sandboxed execution, human-in-the-loop checkpoints, and replayable traces • Build evaluation harnesses with scorers, labelled sets, trajectory and multi-turn evaluations, LLM-as-judge calibration, CI regression suites, and drift detection • Ensure scale and reliability for systems serving millions of API calls • Establish observability standards including structured traces, latency percentiles, cost per request, and dashboards • Lead and grow two pods through their leads • Run architecture and code reviews and set standards for quality, testing, and AI-native practices • Connect Data Platform, Application, and Product teams • Turn early ideas into architecture decisions and working prototypes quickly • Report to the Head of Data & Services

🎯 Requirements

• 7–10 years of hands-on backend engineering experience • Experience leading engineers or engineering leads • 3+ years of hands-on Python experience • Experience building and operating large-scale production systems serving millions of API calls • Expert Python with deep production experience in FastAPI • Production experience shipping AI/LLM services, APIs, and agents • Experience establishing evaluations for AI/LLM systems • Experience building tool-calling frameworks, MCP servers, and evaluation/test harnesses • Hands-on data modelling across SQL and NoSQL • Experience designing and consuming RESTful services at scale • Experience shipping with agentic IDEs such as Claude Code or Cursor • Ability to lead from architecture through reference implementation and team adoption • Experience with Python services, Pydantic, PostgreSQL, Snowflake, DynamoDB, and RESTful APIs • Familiarity with idempotency, caching, rate limits, cost ceilings, circuit breakers, bounded retries, and graceful degradation • Highly valued: Braintrust, Inspect AI, Promptfoo, Logfire, OpenTelemetry, Claude Agent SDK, Pydantic AI, LangGraph, MCP, AWS/GCP, B2B data, entity resolution, enrichment pipelines, Snowflake, and startup/scaleup experience • Must already work in an AI-native development environment using agentic development, AI-driven test generation, automated review pipelines, and evals/traces

🏖️ Benefits

• Competitive base + meaningful equity • Architectural latitude • Hands-on leadership with continued engineering work • Opportunity to shape the next generation of services and AI platform • Work reaching every Firmable customer • Equal opportunity employer and commitment to diverse teams