---
title: 'Senior AI Engineer at Metaforms'
canonical: 'https://feeny.ai/job/senior-ai-engineer-metaforms-bengaluru-edbpzw30z4r1'
type: 'job'
last_seen: '2026-09-09'
---

# Senior AI Engineer at Metaforms

- **Company:** Metaforms
- **Location:** Bengaluru, India
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-24
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/metaforms/274f033c-5328-4a15-98e3-0c75effd3f3b

## Job description

## ABOUT METAFORMS

Market research runs on 30-year-old survey platforms and armies of specialists hand-coding questionnaires in proprietary languages. Metaforms is the agent layer that does that work. Every survey is a program — full of skip logic, piping, quotas, and loops — and a single wrong number in a client report is unrecoverable. Our AI agents write production survey code, QA live deployments, process and clean large structured datasets, configure analysis, and generate client-ready reports, so agencies like Dynata, Savanta, and Borderless Access ship more projects with far less friction.

- 1,000+ surveys processed monthly
- Serving Fortune 500 companies across the globe
- Rapid month-over-month growth

We’re Series A funded and scaling fast, aggressively growing our AI engineering team to build the next generation of production-grade AI agent systems.

## THE ROLE

We’re hiring a Senior AI Engineer to own the design, development, and continuous improvement of the AI agent systems that power modern research operations.

This is a high-ownership, high-impact role at the intersection of applied AI and systems engineering. You’ll work on genuinely hard problems: agent reliability at scale, long-context handling, cascading error mitigation, and evaluation infrastructure — like codegen agents that write in proprietary DSLs, computer-use agents that QA live deployments, data agents that clean tabular exports and configure multi-step analysis, and evals for outputs where “correct” is genuinely ambiguous. And you’ll do it on a team that ships fast and treats quality as non-negotiable.

## WHAT YOU’LL OWN

## AGENT HARNESS AND ARCHITECTURE

- Own the agent harness our production agents run on — the loop where agents plan, use tools, check their work, and recover from failures
- Lead research and implementation for long-context handling and cascading-error challenges in multi-step agent pipelines
- Drive context engineering strategy and experimentation frameworks across the team

## EVALUATION AND PRODUCTION MONITORING

- Define structured rubrics for evaluating AI outputs on nuanced, ambiguous research tasks
- Build continuous monitoring, tracing, and failure-mode analysis for agents in production — including the loop that turns production failures into test cases
- Create tooling that lets domain experts refine and evolve the skill files, eval sets, and knowledge bases our agents consume

## RELIABILITY FOR HIGH-STAKES OUTPUTS

- Build eval suites — regression sets, golden datasets, LLM-as-judge pipelines — that catch regressions before deploy
- Develop evaluation datasets for DSLs, structured data transforms, and computed outputs to systematically find and close model weaknesses
- Design human-in-the-loop and review workflows for outputs where a single wrong number in a client report is unrecoverable

## WHAT WE’RE LOOKING FOR

## MUST-HAVE

- Built and operated agentic systems in production — multi-step pipelines, tool use, codegen, computer-use, or data and reporting agents — not just prototypes
- 4+ years of engineering experience, with at least 1 year focused on LLM/agent systems in production
- Deep hands-on experience with frontier model APIs (Anthropic, OpenAI, Gemini), evaluation frameworks, and AI system optimization
- Strong Python skills; Go or TypeScript a plus
- Solid grasp of context engineering and evaluation methodology
- Strong instincts for debugging complex, non-deterministic system failures
- High ownership: you drive problems to resolution independently and pull others in when it matters

## NICE TO HAVE

- Experience with LLM observability and eval tooling (Braintrust, Langfuse, LangSmith, Weave, promptfoo, or in-house equivalents)
- Background in semantic parsing, DSLs, or structured-output generation
- Prior work on computer-use or browser agents
- Experience with human-in-the-loop agent workflows where proposals are reviewed before apply, or agents over large structured datasets

## WHY METAFORMS

- Work at the frontier of production AI: systems handling 1,000+ research projects a month, with the reliability bar that implies
- A small, senior team where your decisions carry real architectural weight
- Zero-bureaucracy culture: high autonomy, fast feedback loops, direct access to leadership
- Well-funded and financially stable, with a clear roadmap and the runway to execute on it

## BENEFITS

- Full family health insurance
- $1,000 USD annual learning and development budget
- Dedicated mentor and coaching support
- Free snacks and dinner at the office

## About Metaforms

## Company Overview
- **One-liner**: Metaforms provides an AI-powered platform that automates and augments market research operations for agencies, covering survey programming, data processing, bidding, sample management, and voice research.
- **Entity Type**: Private (Series A)
- **Headquarters**: New York, New York, United States
- **Founded**: 2023
- **Founders**: Akshat Tyagi (CEO), Arjun S (CTO)

## Core Business
- **Primary industry**: Market Research Technology (Market Research Operations / AI for Research)
- **Target customers**: B2B — Market research agencies, insights teams, and survey programmers
- **Mission or purpose statement**: "Making research accessible to every business" by giving market research agencies AI superpowers to deliver insights 10x faster.

## Products & Services
- **Survey Programming (AI-Copilot)**: An AI agent that generates production-ready survey code (SPSS, Dimensions, Python, JavaScript) from uploaded questionnaires. Handles complex logic like MaxDiff, segmentation, piping, and loops. Includes version control, multi-programmer workflows, and real-time error detection.
- **Data Processing**: AI that flags discrepancies, handles complex validation logic, and integrates with existing macros and workflows to automate data cleaning and processing.
- **Bidding Management**: Transforms incoming client emails/RFPs into structured project specifications, identifies missing requirements, and generates accurate quotes using the agency's exact pricing logic.
- **Sample Management**: Automatically routes sample requests to the best suppliers, tracks and re-balances quotas across vendors in real-time, and consolidates responses into cost/feasibility comparisons.
- **Voice Research**: AI-moderated voice interviews at scale, automating scheduling, respondent screening, and data capture, delivering structured insights.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Raised $9 Million in Series A funding (announced 2025)
- **Notable Investors/Partners**: Not publicly named in available sources; investors are listed as part of the Series A round.
- **Growth Signals**: 58 employees as of mid-2025; offices in New York (HQ), Bengaluru, and San Francisco; trusted by "world's leading agencies"; growing team with open roles in product engineering, customer success, and product management.

## Competitive Advantages
- **Vertical-Specific AI**: Unlike general-purpose AI tools, Metaforms is purpose-built for the market research industry, learning agency-specific coding styles, standards, and pricing logic.
- **End-to-End Workflow Coverage**: The platform spans the entire research operations lifecycle—from RFP response and bidding, through survey programming and data processing, to sample management and voice interviews—creating a deep moat.
- **Enterprise-Grade Security**: SOC 2 Type II certified, GDPR compliant, and offers custom security documentation for enterprise clients. Explicitly states no training on customer data.
- **Pattern Learning**: AI adapts to each agency's coding style and preferences in real-time, making it stickier and harder to replace.

## Strategic Focus
- **Product Expansion**: Continuing to build out AI agents across all research workflows (bidding, programming, data processing, sample management, voice).
- **Enterprise Sales**: Deepening integrations with Salesforce and major PM tools, and offering API/email-based workflows to fit existing processes.
- **Scaling the Team**: Actively hiring across product engineering, customer success, and product management to support growth.
- **Market Penetration**: Targeting traditional market research agencies that are constrained by manual processes, enabling them to take on more clients and projects.

## Why Work Here
- **Culture**: Mission-driven team focused on making research accessible to every business. Described as a place where "every business decision should be informed."
- **Work Policy**: Hybrid and in-office roles available depending on location and function. Offices in New York (HQ), Bengaluru, and San Francisco.
- **Team & Growth**: 58 employees and growing. Early-stage startup environment with the opportunity to shape the product and culture.
- **Engineering Culture**: Emphasis on building AI agents that "get your business." Roles like Senior Product Engineer and Senior Product Manager are currently open.
- **Perks**: Not explicitly detailed, but the company highlights 24/7 support for clients and a "build the future with us" ethos.

## Sources
1. [metaforms.ai](https://www.metaforms.ai/)
2. [metaforms.ai/about](https://www.metaforms.ai/about)
3. [linkedin.com/company/metaformsai](https://www.linkedin.com/company/metaformsai)
4. [builtin.com/company/metaforms](https://builtin.com/company/metaforms)
5. [jobs.ashbyhq.com/metaforms](https://jobs.ashbyhq.com/metaforms)

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