Shape how AI learns.

Research

India — Mumbai

Full-time

Applied AI / Evaluation Research Engineer

Find where models and agents break, then build the evaluations that prove it. You'll design benchmarks and graders, run experiments across proprietary and open models, and turn the failures you uncover into datasets and training environments for AI labs and enterprises.

What you’ll do

• —Design evaluations, benchmarks and scoring rubrics for LLMs and agents
• —Build evaluation harnesses, automated graders and validation pipelines
• —Run and analyse model experiments — outputs, trajectories, tool use
• —Work with domain experts to establish reliable ground truth and edge cases
• —Turn important failures into new datasets, adversarial sets or RL environments
• —Produce clear technical findings for customers, researchers and product decisions

Who we’re looking for

Strong Python and hands-on work with modern LLMs. Experience in model evaluation, benchmarking, agents or post-training, and the ability to design an experiment rather than only run someone else's benchmark. You can read a paper and turn the idea into a working system, and write up what you found so it holds up.

Strong pluses

Work on SWE-bench, Terminal-Bench, lm-evaluation-harness, Inspect, WebArena or BrowserGym. RLHF, DPO, LLM-as-judge, tool-use agents, red teaming or safety evals. Public research, benchmark contributions or meaningful open source.

Engineering

India — Mumbai

Full-time

Founding Product / AI Infrastructure Engineer

Turn research capability into product customers can use. You'll work directly with the founders on evaluation dashboards, routing and inference infrastructure, APIs, model integrations and human-in-the-loop systems — owning features from rough idea through to production.

What you’ll do

• —Build production systems from prototypes and ambiguous requirements
• —Ship APIs, backend services, data pipelines and customer-facing surfaces
• —Integrate leading model providers and open-model infrastructure
• —Build systems to run, track and compare evaluations at scale
• —Develop routing, usage, latency, cost and outcome logging infrastructure
• —Productionise research prototypes alongside the evaluation team

Who we’re looking for

Strong engineering fundamentals with Python and/or TypeScript, databases, cloud infrastructure and production APIs. Real product instinct and an ownership mentality — you're comfortable moving fast without a specification and taking a feature all the way to deployment.

Strong pluses

LLM APIs, LiteLLM, inference gateways, observability, agent infrastructure, distributed jobs and queues. Evaluation infrastructure, human-in-the-loop workflows, B2B SaaS or developer tools. Early-engineer experience at a fast-moving startup.

Operations

India or US / global

Full-time

Frontier Engagement / Strategic Projects Lead

Own the bridge between frontier-lab relationships and delivery. You'll take an ambiguous request from a researcher, scope it into a real evaluation or data programme, keep research, engineering, experts and operations moving until it ships — then grow the pilot into an account.

What you’ll do

• —Own strategic relationships with AI labs, model companies and advanced AI teams
• —Turn vague research requests into scopes, milestones and acceptance criteria
• —Coordinate research engineers, domain experts, operations and delivery
• —Keep customer communication tight through pilots and production programmes
• —Identify follow-on opportunities and expand engagements across teams and use cases
• —Shape proposals, timelines and commercial structure alongside the founders

Who we’re looking for

Three to seven-plus years in AI data, GenAI delivery, strategic projects, technical account management, research programme management or enterprise AI. You can hold a credible conversation with researchers and engineers, drive cross-functional execution, and exercise commercial judgment on scope and structure.

Strong pluses

Experience at Scale AI, AfterQuery, Surge AI, Mercor, Invisible, Toloka, Sama, Turing, Labelbox or similar. Prior ownership of large AI-data or evaluation accounts. Understanding of training, post-training, evals, RLHF and human-data operations. Existing relationships in the frontier ecosystem are highly valued.

Revenue

India — Mumbai or remote

Full-time

Human Data / AI Data Business Development Lead

Own revenue for our human-data business: managed annotation, expert evaluation, RLHF and preference data, custom datasets and human review. This is a hands-on commercial role — you build the pipeline, run the deals, and turn pilots into recurring accounts.

What you’ll do

• —Build pipeline across AI startups, model companies, robotics teams and enterprises
• —Sell managed annotation, expert review, human evaluation and custom data programmes
• —Run outbound, discovery, qualification and commercial negotiation end to end
• —Work with operations to scope delivery, estimate capacity, define SLAs and price
• —Convert small pilots into recurring or larger-volume accounts
• —Keep CRM discipline, forecasting and clean pipeline reporting

Who we’re looking for

Proven B2B sales — ideally AI data, annotation, managed services, data services or enterprise AI — with a record of closing new logos rather than only farming existing accounts. Strong written outreach and discovery, and judgment on pricing, margin and expansion.

Strong pluses

Existing buyer relationships across AI labs, AI startups, robotics, voice and agent companies, BPOs or enterprise AI. Experience selling annotation, AI training data, human evaluation, RLHF or offshore managed services. A history of expanding pilots into larger contracts.

Talent

India — Mumbai preferred

Full-time

Technical Headhunter / Talent Partner

This is not a role that waits for inbound. You'll map talent markets across AI research, evaluation, engineering and domain expertise, find people who aren't applying anywhere, and build a pipeline before we urgently need one.

What you’ll do

• —Build talent maps across research, evaluation, post-training, agent infrastructure and product
• —Source through LinkedIn, GitHub, Hugging Face, arXiv, university labs and referrals
• —Identify contributors to relevant benchmarks and open-source evaluation tooling
• —Run first-round outreach and screening, and keep hiring processes moving quickly
• —Build relationships with professors, research labs, alumni networks and founders
• —Own hiring data: source, stage, conversion, time-to-hire and offer acceptance

Who we’re looking for

Two-plus years in recruiting, headhunting, talent research, executive search or technical sourcing. Enough technical fluency to tell a genuine evaluation or research engineer from a generic ML profile, exceptional online research skill, and personalised outreach that actually gets replies.

Strong pluses

Experience hiring AI/ML, research, developer-tools, infrastructure or frontier-AI talent. A network across IITs, IISc, IIITs, Indian AI startups or research labs. Sourcing from GitHub, research papers, open-source communities or technical competitions.