Founding Engineer (Full-Time) Location: Ahmedabad, India (In person Only) Type: Full-Time, On-Site Experience: 2–5 years About Us Perceptive Labs is building the marketplace of autonomous AI agents. Each agent runs 24/7, connects directly to customer data, and delivers measurable business outcomes (recommendations, automations, workflows). We’re early-stage and looking for a Founding Engineer to join us at inception. This role will own the technical backbone of the company and help shape the culture, standards, and product DNA. What You’ll Do Architect and build the core platform: multi-tenant backend APIs (FastAPI/NestJS), workflows (Temporal), Postgres schemas, Redis event queues. Develop & deploy the first AI agents: end-to-end orchestration, tool APIs, and connectors (Postgres/MySQL, Google Sheets, S3/R2, WhatsApp APIs). Implement multi-tenant architecture: enforce tenant_id across Postgres/pgvector, per-tenant file storage (R2/S3). Set up CI/CD pipelines with GitHub Actions, Vercel (web), Fly.io/Render (API + worker). Manage observability: tracing/logging with OpenTelemetry, Langfuse, Sentry, PostHog, Grafana. Optimize infra costs: scale-to-zero workers, token usage tracking, Cloudflare R2 storage. Collaborate directly with founder + design intern on roadmap, architecture, and product decisions. Required Skills & Experience Strong in Python (FastAPI, Pydantic) and/or TypeScript (NestJS, Node.js). Proficient with Postgres (schemas, multi-tenant patterns, pgvector). Experience with Redis (Streams, caching, queues). Hands-on with Temporal (or Celery/Airflow but must be willing to learn Temporal fast). Comfortable with containerization (Docker) and deploying to Fly.io, Render, or AWS/GCP/Azure. Knowledge of CI/CD (GitHub Actions), infra-as-code (Terraform basics). Exposure to LLM integration (OpenAI APIs, LangChain, or direct API calls). Strong debugging skills across full stack (frontend → backend → DB → infra). Nice to Have Prior work with Langfuse (prompt/version tracking) or OpenTelemetry. Experience with S3/R2 storage and CDN integration. Understanding of multi-tenant security (scoped API keys, audit logs). Startup/early-stage experience, shipping 0→1 products. Interview Process Our selection process is designed to assess both technical expertise and cultural alignment: Initial Conversation (30 minutes, online): Introduction to Perceptive Labs, career aspirations, and behavioural assessment. Technical & Case Study Assessment (90 minutes, panel interview): Evaluation of problem-solving, system design (multi-tenant APIs, workflows), and applied coding through a structured case study. Final Discussion (30 minutes): Deep-dive on role expectations, collaboration style, and growth opportunities. What We Offer Founding-team level ownership Competitive salary + benefits. Direct mentorship from founder, exposure to end-to-end company building.
Join Perceptive Labs as our foundation engineer to build APIs, multi-tenant infra, and AI agents (Python/TS, Postgres, Redis, Temporal, LLMs). High ownership, startup pace, salary. Turn your vision into reality and learn while doing it
Agentic AI Developer Location: Ahmedabad,India Type: Full Time (In Person Only) Experience: 2-5 Years About Us Perceptive Labs is building the marketplace of autonomous AI agents. Each agent runs 24/7, connects directly to customer data, and delivers measurable business outcomes (recommendations, automations, workflows). We’re early-stage and looking for a Agentic AI Developer to join us at inception. This role will own the technical backbone of the company and help shape the culture, standards, and product DNA. What You’ll Do Architect and build the core platform: multi-tenant backend APIs (FastAPI/NestJS), workflows (Temporal), Postgres schemas, Redis event queues. Develop & deploy the first AI agents: end-to-end orchestration, tool APIs, and connectors (Postgres/MySQL, Google Sheets, S3/R2, WhatsApp APIs). Implement multi-tenant architecture: enforce tenant_id across Postgres/pgvector, per-tenant file storage (R2/S3). Set up CI/CD pipelines with GitHub Actions, Vercel (web), Fly.io/Render (API + worker). Manage observability: tracing/logging with OpenTelemetry, Langfuse, Sentry, PostHog, Grafana. Optimize infra costs: scale-to-zero workers, token usage tracking, Cloudflare R2 storage. Collaborate directly with founder + design intern on roadmap, architecture, and product decisions. Required Skills & Experience Strong in Python (FastAPI, Pydantic), SQL, and/or TypeScript (NestJS, Node.js). Proficient with Postgres (schemas, multi-tenant patterns, pgvector). Experience with Redis (Streams, caching, queues). Hands-on with Temporal (or Celery/Airflow but must be willing to learn Temporal fast). Comfortable with containerization (Docker) and deploying to Fly.io, Render, or AWS/GCP/Azure. Knowledge of CI/CD (GitHub Actions), infra-as-code (Terraform basics). Exposure to LLM integration (OpenAI APIs, LangChain, or direct API calls). Strong debugging skills across full stack (frontend → backend → DB → infra). Nice to Have Prior work with Langfuse (prompt/version tracking) or OpenTelemetry. Experience with S3/R2 storage and CDN integration. Understanding of multi-tenant security (scoped API keys, audit logs). Startup/early-stage experience, shipping 0→1 products. Interview Process Our selection process is designed to assess both technical expertise and cultural alignment: Initial Conversation (30 minutes, online): Introduction to Perceptive Labs, career aspirations, and behavioural assessment. Technical & Case Study Assessment (90 minutes, group interview): Evaluation of problem-solving, system design (multi-tenant APIs, workflows), and applied coding through a structured case study. Final Discussion (30 minutes): Deep-dive on role expectations, collaboration style, and growth opportunities. What We Offer Hands-on experience designing a first-of-its-kind AI product. Competitive salary + benefits. Direct mentorship from founder, exposure to end-to-end company building.
Agentic AI Developer Location: Ahmedabad,India Type: Full Time (In Person Only) Experience: 2-5 Years About Us Perceptive Labs is building the marketplace of autonomous AI agents. Each agent runs 24/7, connects directly to customer data, and delivers measurable business outcomes (recommendations, automations, workflows). We're early-stage and looking for a Agentic AI Developer to join us at inception. This role will own the technical backbone of the company and help shape the culture, standards, and product DNA. What You'll Do Architect and build the core platform: multi-tenant backend APIs (FastAPI/NestJS), workflows (Temporal), Postgres schemas, Redis event queues. Develop & deploy the first AI agents: end-to-end orchestration, tool APIs, and connectors (Postgres/MySQL, Google Sheets, S3/R2, WhatsApp APIs). Implement multi-tenant architecture: enforce tenant_id across Postgres/pgvector, per-tenant file storage (R2/S3). Set up CI/CD pipelines with GitHub Actions, Vercel (web), Fly.io/Render (API + worker). Manage observability: tracing/logging with OpenTelemetry, Langfuse, Sentry, PostHog, Grafana. Optimize infra costs: scale-to-zero workers, token usage tracking, Cloudflare R2 storage. Collaborate directly with founder + design intern on roadmap, architecture, and product decisions. Required Skills & Experience Strong in Python (FastAPI, Pydantic), SQL, and/or TypeScript (NestJS, Node.js). Proficient with Postgres (schemas, multi-tenant patterns, pgvector). Experience with Redis (Streams, caching, queues). Hands-on with Temporal (or Celery/Airflow but must be willing to learn Temporal fast). Comfortable with containerization (Docker) and deploying to Fly.io, Render, or AWS/GCP/Azure. Knowledge of CI/CD (GitHub Actions), infra-as-code (Terraform basics). Exposure to LLM integration (OpenAI APIs, LangChain, or direct API calls). Strong debugging skills across full stack (frontend ? backend ? DB ? infra). Nice to Have Prior work with Langfuse (prompt/version tracking) or OpenTelemetry. Experience with S3/R2 storage and CDN integration. Understanding of multi-tenant security (scoped API keys, audit logs). Startup/early-stage experience, shipping 0?1 products. Interview Process Our selection process is designed to assess both technical expertise and cultural alignment: Initial Conversation (30 minutes, online): Introduction to Perceptive Labs, career aspirations, and behavioural assessment. Technical & Case Study Assessment (90 minutes, group interview): Evaluation of problem-solving, system design (multi-tenant APIs, workflows), and applied coding through a structured case study. Final Discussion (30 minutes): Deep-dive on role expectations, collaboration style, and growth opportunities. What We Offer Hands-on experience designing a first-of-its-kind AI product. Competitive salary + benefits. Direct mentorship from founder, exposure to end-to-end company building.
Agentic AI Developer Location: Ahmedabad,India Type: Full Time (In Person Only) Experience: 2-5 Years About Us Perceptive Labs is building the marketplace of autonomous AI agents. Each agent runs 24/7, connects directly to customer data, and delivers measurable business outcomes (recommendations, automations, workflows). We’re early-stage and looking for a Agentic AI Developer to join us at inception. This role will own the technical backbone of the company and help shape the culture, standards, and product DNA. What You’ll Do Architect and build the core platform: multi-tenant backend APIs (FastAPI/NestJS), workflows (Temporal), Postgres schemas, Redis event queues. Develop & deploy the first AI agents: end-to-end orchestration, tool APIs, and connectors (Postgres/MySQL, Google Sheets, S3/R2, WhatsApp APIs). Implement multi-tenant architecture: enforce tenant_id across Postgres/pgvector, per-tenant file storage (R2/S3). Set up CI/CD pipelines with GitHub Actions, Vercel (web), Fly.io/Render (API + worker). Manage observability: tracing/logging with OpenTelemetry, Langfuse, Sentry, PostHog, Grafana. Optimize infra costs: scale-to-zero workers, token usage tracking, Cloudflare R2 storage. Collaborate directly with founder + design intern on roadmap, architecture, and product decisions. Required Skills & Experience Strong in Python (FastAPI, Pydantic), SQL, and/or TypeScript (NestJS, Node.js). Proficient with Postgres (schemas, multi-tenant patterns, pgvector). Experience with Redis (Streams, caching, queues). Hands-on with Temporal (or Celery/Airflow but must be willing to learn Temporal fast). Comfortable with containerization (Docker) and deploying to Fly.io, Render, or AWS/GCP/Azure. Knowledge of CI/CD (GitHub Actions), infra-as-code (Terraform basics). Exposure to LLM integration (OpenAI APIs, LangChain, or direct API calls). Strong debugging skills across full stack (frontend → backend → DB → infra). Nice to Have Prior work with Langfuse (prompt/version tracking) or OpenTelemetry. Experience with S3/R2 storage and CDN integration. Understanding of multi-tenant security (scoped API keys, audit logs). Startup/early-stage experience, shipping 0→1 products. Interview Process Our selection process is designed to assess both technical expertise and cultural alignment: Initial Conversation (30 minutes, online): Introduction to Perceptive Labs, career aspirations, and behavioural assessment. Technical & Case Study Assessment (90 minutes, group interview): Evaluation of problem-solving, system design (multi-tenant APIs, workflows), and applied coding through a structured case study. Final Discussion (30 minutes): Deep-dive on role expectations, collaboration style, and growth opportunities. What We Offer Hands-on experience designing a first-of-its-kind AI product. Competitive salary + benefits. Direct mentorship from founder, exposure to end-to-end company building.
Agentic AI Developer Location: Ahmedabad,India Type: Full Time (In Person Only) Experience: 2-5 Years About Us Perceptive Labs is building the marketplace of autonomous AI agents. Each agent runs 24/7, connects directly to customer data, and delivers measurable business outcomes (recommendations, automations, workflows). We’re early-stage and looking for a Agentic AI Developer to join us at inception. This role will own the technical backbone of the company and help shape the culture, standards, and product DNA. What You’ll Do Architect and build the core platform: multi-tenant backend APIs (FastAPI/NestJS), workflows (Temporal), Postgres schemas, Redis event queues. Develop & deploy the first AI agents: end-to-end orchestration, tool APIs, and connectors (Postgres/MySQL, Google Sheets, S3/R2, WhatsApp APIs). Implement multi-tenant architecture: enforce tenant_id across Postgres/pgvector, per-tenant file storage (R2/S3). Set up CI/CD pipelines with GitHub Actions, Vercel (web), Fly.io/Render (API + worker). Manage observability: tracing/logging with OpenTelemetry, Langfuse, Sentry, PostHog, Grafana. Optimize infra costs: scale-to-zero workers, token usage tracking, Cloudflare R2 storage. Collaborate directly with founder + design intern on roadmap, architecture, and product decisions. Required Skills & Experience Strong in Python (FastAPI, Pydantic), SQL, and/or TypeScript (NestJS, Node.js). Proficient with Postgres (schemas, multi-tenant patterns, pgvector). Experience with Redis (Streams, caching, queues). Hands-on with Temporal (or Celery/Airflow but must be willing to learn Temporal fast). Comfortable with containerization (Docker) and deploying to Fly.io, Render, or AWS/GCP/Azure. Knowledge of CI/CD (GitHub Actions), infra-as-code (Terraform basics). Exposure to LLM integration (OpenAI APIs, LangChain, or direct API calls). Strong debugging skills across full stack (frontend → backend → DB → infra). Nice to Have Prior work with Langfuse (prompt/version tracking) or OpenTelemetry. Experience with S3/R2 storage and CDN integration. Understanding of multi-tenant security (scoped API keys, audit logs). Startup/early-stage experience, shipping 0→1 products. Interview Process Our selection process is designed to assess both technical expertise and cultural alignment: Initial Conversation (30 minutes, online): Introduction to Perceptive Labs, career aspirations, and behavioural assessment. Technical & Case Study Assessment (90 minutes, group interview): Evaluation of problem-solving, system design (multi-tenant APIs, workflows), and applied coding through a structured case study. Final Discussion (30 minutes): Deep-dive on role expectations, collaboration style, and growth opportunities. What We Offer Hands-on experience designing a first-of-its-kind AI product. Competitive salary + benefits. Direct mentorship from founder, exposure to end-to-end company building.