AI Engineer | Early Stage AI B2B SaaS Startup | Experienced Founders

Overview

Why Join Us As An AI Engineer?

Are you a passionate AI Engineer looking to build foundational technology that truly transforms human performance in real-time? Evro is building the B2B AI SaaS that aims to help all employees to work without team friction, communication problems or toxic work cultures.

Be part of something. We’re an ambitious AI startup led by experienced, second time founders with a prior successful US exit. We’re remote-first, values-driven, and obsessed with building tech that genuinely helps people to feel better about themselves and others.

The Opportunity: Build the Core AI for Human Performance

This is not just another engineering role; it's an opportunity to shape the foundational AI infrastructure of a product that will fundamentally change how people work and grow. As our second dedicated engineer, you will work closely with our Lead Software Engineer and Co-CEOs, directly influencing our product's core capabilities and contributing significantly to our journey towards a billion-dollar valuation. We operate with brutal honesty, data-driven decisions, and a relentless focus on systemic solutions.

What You'll Be Doing (Your First 90 Days & Beyond):

We expect you to ramp up and start making significant contributions within 2 months. Your initial focus will be on hardening our core AI systems and enabling critical user-facing features:

• Real-time Performance Optimization: Optimize our backend processing pipeline to ensure coaching nudges are consistently delivered within 2 minutes after relevant interactions (e.g., meetings, message threads). This is crucial for user engagement and the real-time value proposition of Evro.
• Modular AI Agent Development: Dive deep into our LangChain/CrewAI-based modular agent architecture. You'll design, develop, and refine Perception and Action Agents, specifically enhancing the efficacy and personalization of our:
• Moment Detection Agent: Improve its ability to identify coachable events from meeting transcripts and communication flows.
• Friction Detection Agent: Strengthen its capability to detect subtle tensions, working style clashes, or performance lags in team dynamics.
• Nudge Agent: Ensure nudges are highly relevant and effective, adapting to individual user context and promoting desired behavioral changes.
• Memory & Data Foundation: Contribute to building out robust and scalable memory systems (Pinecone for semantic memory, PostgreSQL for structured data) to support mid-term user history and evolving behavioral graphs.
• Seamless Integration & Privacy: Enhance our Slack and Microsoft Teams integrations, ensuring reliable data ingestion while meticulously upholding our privacy-by-design principles (e.g., opt-in data sharing, no raw transcript retention post-inference).

What We're Looking For (Beyond the Code):

This isn't a role for someone seeking a "big company" structure with predefined paths. We are a small, 3 person startup that is rapidly iterating.

• Startup Mindset: You thrive in ambiguity, take initiative, and are comfortable wearing multiple hats. There are no established playbooks here; you'll be instrumental in writing them. You must be comfortable with a fast pace and ruthless prioritization.
• Pros of this environment: You'll have significant ownership, direct influence on product direction, the opportunity to work on cutting-edge AI from first principles, and rapid, accelerated learning and growth. Your contributions will directly shape Evro’s ability to foster psychological safety and unlock human potential at scale.
• Cons/Realities of this environment: Expect a high degree of autonomy and the need for proactive problem-solving. Resources are lean, and you will be building from the ground up, which means less formal structure and more self-direction than in a larger organization.
• Technical Acumen:
• Strong proficiency in Python (FastAPI preferred) and Node.js.
• Demonstrable experience with AI/ML concepts, particularly in NLP and large language models (LLMs).
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes/Helm) is a plus, especially as we plan for future VPC deployments.
• Experience with real-time data processing and distributed systems.
• Cultural Alignment: You must be deeply aligned with our core values: building AI ethically and transparently , promoting psychological safety , effective communication , and a commitment to continuous personal and organizational growth. You should possess strong empathy and an innate curiosity about human behavior, as our product is fundamentally about understanding and improving how people work together.

Why Join Evro?

• Mission-Driven Impact: Your work will directly address critical "hair-on-fire" problems for organizations: quiet quitting, burnout, promotion bottlenecks, and poor management. You'll empower people to reach their full potential, creating a measurable ROI for our clients by preventing attrition and boosting execution velocity.
• Cutting-Edge AI: You'll be working at the forefront of behavioral AI, building a unique "behavioral graph" that captures real-world team dynamics—a defensible data moat for Evro.
• Early Team, Big Ownership: Be a critical part of a small, passionate founding team with direct influence on product and strategic direction.
• Founders with Deep Expertise: Learn from a team with strong strategic, product, and psychological expertise, including a Co-CEO with a PhD in digital mental health interventions and a successful exit.

Perks & Benefits:

• Competitive salary
• 100% remote with flexible working hours (no late-night calls!)
• Health insurance
• Generous paid time off + all Indian public holidays
• Reimbursement for home internet or mobile expenses
• Inclusive, psychologically safe culture with transparency and trust
• Work on real problems: help build tools that boost mental wellbeing and career growth at scale

What You’ll Work On

This role is ideal for someone who thrives on autonomy, is fluent in full-stack product engineering, and loves taking AI from prototype to production.

You’ll:

• Deeply engage with our modular agent architecture (LangChain/CrewAI) to develop and refine critical Perception and Action Agents – focusing initially on enhancing Moment Detection, Friction Detection, and Nudge Agent efficacy and personalization based on real-time behavioral signals.
• Contribute to building out our core memory systems (Pinecone/PostgreSQL) for mid-term user context and interaction logging, ensuring data integrity and efficient retrieval for personalized coaching.
• Strengthen our Slack and Microsoft Teams integrations, ensuring seamless and reliable ingestion of communication data while upholding stringent privacy-by-design principles (opt-in, no raw transcript retention beyond inference).
• Develop robust Retrieval-Augmented Generation (RAG) systems and evaluation frameworks to enhance LLM reliability and reasoning
• Architect and deploy multi-agent systems with tools, memory, planning, and orchestration
• Build and optimise high-performance vector databases
• Contribute to full-stack development, including secure APIs and scalable backend services
• Collaborate on frontend interfaces using React or Next.js
• Integrate with third-party APIs (Slack, MS Teams) to support real-time collaboration

Application Process:

To ensure we find the right fit for our foundational team, we require a short video or audio response as an essential part of your application. This question is being used to screen out candidates who are mass replying with AI. Provide a link to your audio or video response but don’t include raw files. Make sure the link is set to public so we can view it. Applications that don’t have an audio or video response won’t be considered. Please keep responses to 3 mins or less if possible.

We value your time. No draggy panels or busywork.

• Apply with a PDF of your CV.
• Cover letter is not necessary; no penalty if no cover letter.
• Include a video or audio of yourself answering this question: Describe any AI experience you have that is relevant to this role. If you have no AI experience, discuss your potential to learn fast on the job.
• If your CV is accepted then you'll be invited to 1 x Technical Interview (live problem-solving)
• If you do well in the techincal interview, you'll be invited to 1 x Final Interview with Founders
• We received over 300 applications in our previous hiring round so please bear with us. We are aiming to provide updates for all candidates a few times per week about your progress. We will aim to make an offer within 3 weeks for a successful candidate and inform all candidates who weren't accepted as well.

Diversity & Inclusion

We strongly encourage candidates from all backgrounds, communities, and identities to apply. We’re committed to building a diverse team and an inclusive culture.

Apply Now and Help Us Unlock Human Potential at Scale!

Job Type: Full-time

Pay: From ₹900,000.00 per year

Benefits:

• Flexible schedule
• Health insurance
• Internet reimbursement
• Paid sick time
• Paid time off
• Work from home

Application Question(s):

• Please share a link here to a short video or audio recording that answers this question: Describe any AI experience you have that is relevant to this role. If you have no AI experience, discuss your potential to learn fast on the job.

Work Location: Remote

Expected Start Date: 04/08/2025