Power Platform Engineer/AI Agent Developer

Hiring for Java Full Stack Developer + Agentic AI

Edu : BE/B.Tech

Work Location : Gurgaon

Should be from product based Co only

Skills :

Required Skills

Strong proficiency in Java (8+) and the Spring Boot ecosystem.

Solid grasp of REST API design, microservices, and Hibernate/JPA.

Experience with relational databases and writing efficient queries. Frontend

Proficiency with a modern JS framework (React or Angular) and JavaScript/TypeScript.

Comfortable with HTML5, CSS3, and responsive design. Engineering Practices

Version control with Git; build tools like Maven or Gradle.

Familiarity with CI/CD pipelines and automated testing.

Understanding of data structures, algorithms, and system design fundamentals.

BuyBuildSell InfraTech unifies design, manpower and material into one intelligent platform. As founding engineer, you'll architect the AI systems at its core - turning a client's plain-language request into design options, specifications and material requirements people can actually build from. Not a seat on a large team executing a settled spec: the systems you ship in month one become the foundation everything else is built on.

~ WHAT YOU'LL DO

• Build the AI reasoning layer - LLM-based intent parsing, option generation, retrieval-grounded suggestions.

• Architect the deterministic engine - rules-based calculations for specs, quantities and cost, kept strictly separate from anything AI-generated.

• Own the full stack - backend, APIs, data, frontend and infrastructure, end to end, with no platform team to hand off to.

• Ground the system in reality - work with our architects and structural engineers to encode real construction rules.

• Shape the roadmap - sit close to real usage and help decide what gets built next, not just how.

~ Qualifications:

• B.Tech / B.E. in CS, AI/ML or related.

• 2–5 years shipping production software.

• Hands-on LLM integration - prompt design,

structured output, RAG fundamentals.

• Proven end-to-end ownership: backend, data,

enough frontend/deploy to ship solo.

• Can explain, unprompted, why critical logic belongs

outside an LLM call.

Preferred:

• Early or founding engineer experience at a startup.

• Exposure to construction, real estate or physical-world marketplaces.

• Computer vision or vernacular NLP exposure (future roadmap).

• Production RAG / vector search experience - not just tutorials.

Job Title : Senior Consultant – Full Stack Developer with AI

Experience : 5+ Years

Open Positions : 1

Location : Remote

Working Hours : 11:00 AM to 08:00 PM IST

Engagement : 6 to 8 Months Contract-to-Hire (C2H), with potential conversion to client payroll

Expected Joining : By the last week of August / 1st week of September

Role Overview :

Thoughtworks is looking for a Senior Consultant – Full Stack Developer with AI experience who can design and develop scalable full-stack applications while leveraging modern AI development tools and agentic AI capabilities.

The ideal candidate should have strong hands-on experience with Python, JavaScript / React.js, AWS Bedrock Agent Core, Docker, Kubernetes, and modern AI-assisted development frameworks and tools. Experience building MCP servers / tools, AI skills, or integrations using tools such as Cursor, Claude Code, Codex, or GitHub Copilot will be highly valuable.

The candidate should be comfortable working across application development, AI integration, cloud technologies, and containerized environments.

Mandatory Skills :

Python, React.js / JavaScript, AWS Bedrock Agent Core, Docker, Kubernetes, MCP / AI Skills, Cursor / Claude Code / Codex / GitHub Copilot, Full-Stack Development.

Key Responsibilities :

• Design, develop, and maintain scalable full-stack applications using modern development practices.
• Build backend services and APIs using Python and related frameworks.
• Develop responsive and scalable frontend applications using ReactJS or other JavaScript frameworks.
• Design and implement AI-powered solutions using AWS Bedrock Agent Core.
• Build and integrate AI agents, tools, skills, and workflows into enterprise applications.
• Develop and work with MCP (Model Context Protocol) servers, tools, or integrations.
• Leverage AI-assisted development platforms and coding tools such as Cursor, Claude Code, Codex, or GitHub Copilot.
• Containerize applications and services using Docker.
• Deploy, manage, and troubleshoot containerized workloads using Kubernetes.
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable technical solutions.
• Follow engineering best practices around code quality, testing, security, performance, and maintainability.
• Contribute to CI/CD and cloud deployment processes; DevOps experience will be an added advantage.
• Participate in technical discussions, architecture decisions, code reviews, and project delivery.

Mandatory Skills :

• 5+ years of relevant software development experience.
• Strong hands-on experience with Python.
• Strong experience with ReactJS or another modern JavaScript framework.
• Hands-on experience with AWS Bedrock Agent Core.
• Strong experience with Docker.
• Hands-on experience with Kubernetes.
• Experience building MCP servers / tools, AI skills, or similar AI integrations.
• Experience using AI-assisted coding/development tools such as :
• Cursor
• Claude Code
• Codex
• GitHub Copilot
• Strong understanding of full-stack application development.
• Good understanding of API development, application architecture, and cloud-based solutions.

Nice to Have :

• Experience with DevOps practices and CI/CD pipelines.
• Experience with AWS cloud services beyond Bedrock.
• Experience with infrastructure automation and deployment.
• Experience building production-grade GenAI / Agentic AI applications.
• Experience with LLM integrations, AI agents, tools, and function calling.

Project Expectations :

Candidates should be able to explain at least one recent project in detail, including :

• Problem Statement : What business / technical problem were you solving ?
• Architecture & Approach : How did you design the solution ?
• Key Contributions : What did you personally build or own ?
• AI / Agent Implementation : How did you use AWS Bedrock Agent Core, MCP, or AI development tools ?
• Technology Stack : Python, React.js / JavaScript, AWS, Docker, Kubernetes, etc.
• Challenges : What were the major technical challenges ?
• Outcomes & Metrics : What measurable impact did the solution deliver, such as performance improvement, cost reduction, automation, productivity improvement, or reduced development time ?

Interview Process :

1. Round 1 – GT Technical Interview : 60 minutes
2. Round 2 – Client Technical Interview : 60 minutes
3. Round 3 – Project Round : 60 minutes
4. Additional Client Round : May be conducted on a case-by-case basis

Key Hiring Priorities :

Highest priority : Candidates with genuine hands-on experience in AWS Bedrock Agent Core + Python + React / JavaScript + Docker + Kubernetes + MCP / AI skills and practical experience using modern AI coding/agent development tools.

Note : Candidates should demonstrate hands-on implementation experience rather than only theoretical knowledge or exposure to the above technologies.

Location: Jaipur, Rajasthan (Work From Office)

Experience: 4+ Years

Job Type: Full-Time

We're looking for an AI Assisted Developer who is passionate about building modern applications using AI-powered coding tools. You'll leverage AI to accelerate development while delivering scalable, high-quality software solutions.

Key Responsibilities

• Build scalable web applications, APIs, and automation workflows.
• Leverage GitHub Copilot, Cursor, Claude Code, ChatGPT, and similar AI tools to improve development productivity.
• Optimize AI prompts and workflows for efficient coding.
• Apply best practices in system design, TDD, debugging, testing, and code reviews.
• Collaborate with Product, QA, and DevOps teams to deliver high-quality software.
• Stay up to date with emerging AI development tools and technologies.

Requirements

• 4+ years of software development experience.
• Proficiency in Python, JavaScript/TypeScript, or Go.
• Experience with React, Node.js, or modern development frameworks.
• Hands-on experience with GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar AI coding tools.
• Strong understanding of Git, CI/CD, SQL/NoSQL, system design, and software engineering principles.
• Excellent problem-solving and communication skills.

Preferred: Experience with LangChain, LangGraph, OpenAI APIs, FastAPI, Agentic AI, MCP, Prompt Engineering, AI Automation, or AWS/Azure/GCP.

Apply Now

Application Form: https://zfrmz.com/pAKb2ynfomIsuNwRfRbV?utm_source=cutshort

Role & Responsibilities

Responsibilities

• Business: Immerse in operations until you think like an insider.

Rapidly acquire domain expertise through direct observation, translate between business and engineering seamlessly, and mentor engineers in your area on immersion. Influence senior stakeholders effectively, manage complex stakeholder landscapes with competing agendas, and build trust rapidly with new stakeholders.

• Delivery: Lead rapid delivery initiatives across teams in your area, coach on prototype-first approaches, and establish trust through consistent fast delivery. Build complete applications rapidly across any technology stack, select the right tools for each problem, and define clear criteria for prototype-to-production transitions.

• Generative AI: Architect RAG systems for complex use cases across teams, implement advanced techniques (hybrid search, reranking, query expansion), mentor engineers on RAG best practices, and establish RAG standards. Lead evaluation strategy across teams, establishing annotation guidelines, training human-calibrated LLM judges, and building evaluation pipelines that connect tracing to datasets to experiments.

• People: Build high-performing teams across your area, navigate complex interpersonal dynamics, foster psychological safety, and create environments where diverse perspectives are valued. Influence through communication at all levels — from frontline to executive. Handle difficult conversations skilfully and train engineers in your area on effective communication.

• AI-Augmented Development: Optimise AI tool usage across teams in your area, train engineers on AI-augmented and agentic engineering workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigour.

• Scale: Design complex multi-component systems end-to-end, evaluate architectural options for large initiatives across teams, guide technical decisions for your area, and mentor engineers on architecture. Create debt reduction strategies across teams, influence roadmap decisions to include debt work, and teach engineers when to accept debt for speed versus when to invest in quality.

• Documentation: Define documentation standards across teams in your area, create documentation systems and templates, train engineers on spec-driven development, and ensure documentation quality across projects. Lead pattern generalization initiatives, defining criteria for when to generalize versus keep custom.

• Reliability: Define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, andmentor engineers on SRE practices.

Ideal Candidate

• Strong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership)
• Mandatory (Experience 1) – Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend.
• Mandatory (Experience 2) – Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack.
• Mandatory (Experience 3) – Must have 2+ years of experience in generative AI applications developement — LLM integrations, vector databases, RAG systems, and evaluation pipelines
• Mandatory (Experience 4) – Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development.
• Mandatory (Experience 5) – Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued), including infrastructure-as-code (CloudFormation / Terraform).
• Mandatory (Experience 6) – Must have working knowledge of multiple database paradigms — relational (PostgreSQL), document, and key-value (Redis) — with ability to select the right storage per problem.
• Mandatory (Experience 7) – Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.
• Mandatory (Experience 8) – Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them
• Preferred (Experience) – Advanced RAG techniques — hybrid search, reranking, query expansion — and establishing RAG standards across teams

Lead Product Engineer - Pod Captain 

A Little Bit About the Role

There is a version of this role that attracts the wrong person: a senior engineer who wants a title upgrade and a slightly bigger scope. That person will struggle here. The Lead PE is not a promotion for being a great individual engineer. It is a fundamentally different job.

Your success at this level is measured entirely by what your Island delivers — not by the quality of your own code. You will still write code, often the hardest and most risk-laden on the project: auth systems, payment integrations, data migrations, the things nobody else should touch. But that is a fraction of the role. The majority is managing delivery, owning the client relationship on the technical side, unblocking engineers before problems compound, and making scope calls under pressure with incomplete information.

You are also the technical and commercial bridge between your Island and the client. You own every piece of technical communication that goes to them — what is being built, what risks exist, what the honest timeline is. When a client pushes for something technically unsound, you push back directly and professionally, always with an alternative. When something breaks in production, you own the post-mortem process and the client receives it within 24 hours. You protect your team from unfiltered client pressure; you translate it into clear, actionable direction instead.

On top of delivery and client management, you are the AI operating standard for your Island. Every engineer on your pod uses Cursor and Claude within the rules you define. You set those rules before the first line of code is written, govern how they evolve, and you are accountable when AI-generated code ships without being understood.

If you are energised by all of that — by the accountability, by owning outcomes rather than tasks, by the combination of technical depth and people management — this role will suit you well. If you want to spend most of your time in code, this is not the right level.

AI Governance Expectation

You set the AI standard for your entire Island. If an engineer on your pod is shipping AI-generated code they do not understand, or underusing AI tools entirely, both are your problem to fix — not theirs alone.

At Lead level, AI governance means:

• Authoring the .cursorrules file before the first PR is opened. This defines how every engineer on the team writes code, uses Cursor, and structures prompts. You update it as the team learns, and you submit it to the Fountane Mainland at the close of every engagement.
• Evaluating new AI tools before they reach client code. You are the gate. A tool that looks useful in a demo can create untraceable technical debt in production. You decide what enters the workflow.
• Governing prompt discipline across the team: scoped prompts, codebase context hygiene, no AI-generated code that the author cannot explain line by line.
• Using Claude for architecture reasoning, sprint planning, risk documentation, and client-facing technical communication — not just Cursor for code generation. AI works at every layer of the Lead role, not just the coding layer.
• Staying ahead of the Golden Stack. You should know what Cursor and Claude can and cannot do at the codebase level better than anyone on your Island. When the Mainland updates the standard toolchain, you integrate the change into your Island’s workflow first.

Key Responsibilities

Technical Architecture & Standards Ownership

Design the full-stack architecture for every engagement before the first sprint starts: service boundaries, API contracts, database schema, state management strategy across web and mobile surfaces, and the security baseline. Author the .cursorrules file that governs how the entire Island writes code and uses AI. Own the highest-risk code personally — auth systems, payment integrations, live data migrations — these are not delegated regardless of workload. Enforce Mainland security standards across the entire codebase: input validation, correct auth scoping, safe data handling. If a security issue reaches production that was visible in a PR, that is a failure you own.

CE Prototype Gatekeeping

Review every Concept Engineer prototype before any engineer touches it. This is not a courtesy review — you have veto authority. If the scope is technically unrealistic for the sprint, the architecture is unbuildable as specified, or the prototype makes promises the codebase cannot keep, the sprint does not start until those are resolved. The time to surface a structural problem is before it is built, not after it is demoed. Produce a written checklist verdict for every prototype review — approved, approved with conditions, or blocked with reasons.

Client Technical Communication & Scope Ownership

Own all technical communication with the client directly. This means: what is being built each sprint, what risks exist and what is being done about them, honest timelines when estimates change, and clear explanations of technical decisions in plain language. Push back on risky or scope-expanding requests professionally and always with an alternative — “we cannot do X because Y; here is what achieves the same outcome.” Manage scope creep actively: every request that expands the engagement goes through you, gets assessed for impact, and is either absorbed, priced, or declined with a rationale. Renewal conversations are yours to lead in coordination with the CE.

Island Integration Audit

When a prospective client wants fractional augmentation — one or two roles rather than a full Island — you conduct the Island Integration Audit. This means evaluating their existing engineering team against Fountane Mainland SOPs: coding standards, AI tool usage, deployment practices, and documentation quality. If they pass, fractional deployment proceeds. If they do not, you produce a written audit report that either recommends full Island deployment or a Mainland upskilling programme. You are protecting your team’s velocity — a fractional deployment into a dysfunctional team destroys it.

Delivery & Velocity Management

Review the work cycle board every morning. Flag anything stuck, stale, or at risk before it becomes a client problem — not after. Communicate risks to the CE proactively with options, not just problems. Track every engineer’s billing hours: a shortfall spotted on Wednesday is a Thursday conversation, not a Friday surprise. If an engineer is consistently under-billing, that is either a workload problem, a capability problem, or a motivation problem — each has a different resolution and you are responsible for diagnosing which one it is.

Production Incident Ownership

When something breaks in production, you own the resolution process end to end: take technical lead, make the call on rollback vs. hotfix, communicate status to the client directly if the incident affects them, and own the post-mortem. The client receives the post-mortem within 24 hours of resolution — this is a hard commitment, not a target. The post-mortem covers: what happened, why it happened, what was done to fix it, and what structural change prevents recurrence. You produce it; it is not delegated to the engineer who caused the issue.

Automation & Infrastructure Boundary Arbitration

The Automation Engineer owns the test gates within the CI/CD pipeline. The Infrastructure Engineer owns the pipeline configuration itself. When these overlap and conflict — which they will — you arbitrate. The resolution must be documented in the Island’s .cursorrules and SOP onboarding document so the boundary does not need to be relitigated every sprint. This is not optional housekeeping; an unresolved boundary between these two roles is one of the most common sources of deployment failures on Islands.

Full Stack Ownership — Web & Mobile

You review and own work across the entire application layer: React / Next.js web frontends, React Native or Flutter mobile apps, Node.js / Python backends, and database schema. You cannot delegate a review of mobile code because you do not know mobile, or backend code because your background is frontend. If there is a gap in your full-stack depth, that is something to resolve before taking this role, not on the job.

People Management & Mentoring

Hold bi-weekly 1:1s with every engineer on the Island — focused on growth, blockers, and career direction, not status updates. Status belongs on the board; 1:1s are for the person. Address performance gaps early, directly, and specifically: a pattern spotted in week two is a conversation in week two, not month three. Protect the team from unfiltered client anxiety — absorb it, process it, and give the team clear direction instead of noise. If an engineer is struggling, that is your problem to solve before it becomes the client’s problem to notice.

Network Contribution

At the close of every engagement, submit to the Fountane Mainland: the .cursorrules file, all prompt templates used, a short retrospective on what worked and what did not, and any reusable patterns or scripts developed during the engagement. This is a Lead-level obligation, not a nice-to-have. The network’s collective capability grows through what Leads bring back from the field. An engagement that ends without a Mainland submission has left the network no smarter than it was before.

Qualifications

• 8+ years of software engineering experience, with at least two years in a role where you were accountable for delivery outcomes — not just your own code. You should be able to describe an engagement where something went wrong on your watch, what you did about it, and what you would do differently. If your experience is entirely individual-contributor, this role will be a difficult fit.
• Genuinely full stack across web and mobile: React / Next.js, React Native or Flutter, Node.js or Python, and database architecture including schema design and migrations. You review and own work across all of these surfaces — not just the ones you are most comfortable in.
• Hands-on, daily Cursor and Claude usage with the ability to set and enforce standards for how a team uses them — not just personal proficiency. You should be able to describe the .cursorrules file you would write for a standard SMB engagement and explain the decisions behind it.
• Proven ability to communicate technical risk and decisions directly to non-technical clients — not through a PM, directly, in plain language. You should be able to describe a client pushback you navigated and how you handled it.
• Experience managing scope on a real engagement: a client who wanted more than was in the contract, and how you resolved it without damaging the relationship or the team’s velocity.
• Has conducted security-aware architecture design: auth systems, input validation, safe data handling. You should be able to describe a security decision you made and why.
• Has led or coordinated a small engineering team — run 1:1s, addressed performance gaps, made scope calls under pressure. Management experience at a staffing agency or outsourcing firm counts if the accountability was real.
• Comfortable having direct, specific performance conversations early — not after the situation has compounded. You should be able to describe a time you addressed a performance issue at the first sign rather than waiting.
• Bachelor’s or Master’s in Computer Science or a related field, or equivalent experience.

About Fountane

Fountane is a technology ventures lab - one part product studio, one part startup engine. We build high-quality software and AI products for clients ranging from fast-moving startups to large enterprises, and we co-build and invest in new companies when we see the right opportunity.

Founded in 2017 and headquartered in Minneapolis, we have grown to 60+ people across four continents and were recognised as one of America’s fastest-growing companies, ranking No. 699 on the Inc. 5000 with 595% three-year growth.

We are serious about craft, direct about expectations, and operate at the frontier of AI-assisted engineering. Lead PEs here carry real authority and real accountability — over delivery, over people, and over client outcomes. If that combination is what you are looking for, this is the place.

Key Requirements / Skills

• 6+ years of overall experience in software development with strong expertise in building scalable web applications.
• 2+ years of experience as a Technical Lead, managing development teams and driving project delivery.
• Strong technical decision-making ability, including architecture design, technology selection, and implementation of best practices.
• Front-end expertise: Strong experience in React, JavaScript, TypeScript, and building responsive and user-friendly UI/UX.
• Back-end development: Hands-on experience with Node.js, RESTful APIs, API design, and server-side architecture.
• Gen AI Expertise: Experience in building RAG & LLM Systems, implementing AI/ML models or integrating AI-based solutions to solve business problems.
• Cloud & DevOps exposure: Experience with AWS/Azure, understanding of CI/CD pipelines, and cloud-based deployments.
• Code quality & best practices: Experience in code reviews, Git version control, and ensuring maintainable and secure code.
• Team leadership: Ability to mentor developers, guide technical discussions, and collaborate across teams.
• Strong communication skills to effectively interact with technical and non-technical stakeholders.
• Experience working in high-compliance environments such as healthcare systems is a plus.

Education Qualifications:

• B.Tech/M.Tech in CSE/IT/AI/ML from a good university

Senior Agentic Engineer — Ai1 Platform (Operations)

Team: Operations · Type: Full-time · Location: Fully remote (global, async-first)

Who we are

MyZone AI builds and runs Ai1 — a managed, multi-agent AI platform that gives each client their own isolated, always-on team of AI agents working across the channels and tools they already use. We're a small, AI-first, high-trust team that ships like a much bigger one. We work fully remote and async — what you ship and how clearly you write matter more than your hours.

The role

You'll join the Operations team. 

• Agentic engineering — complex agent skills and workflows, multi-agent orchestration, custom integrations, and the prompting and guardrails that make autonomous agents reliable.

What you'll do

Build agents that do real work

• Design complex, reusable skills and multi-step recipes that automate entire business processes — production automations, not demos.
• Architect multi-agent workflows: delegation, parallel execution, and agents that hand off and reassemble work.
• Build custom MCP connectors and API integrations for any tool that doesn't have one yet.
• Engineer robust prompts, human-in-the-loop controls, and built-in QA so automations are safe to run autonomously.
• Ship automations as self-contained installers that deploy across many client instances with zero rework.

Own application code end-to-end

• Own one or more services in our modular platform (Node/Express backends, React frontends) — schema, API, and UI.
• Ship features across CRM, operations, pipeline, reporting, onboarding, assessments, and chatbots.
• Contribute to our Next.js portal (Next.js 15, TypeScript, Prisma, PostgreSQL).
• Keep your components healthy: clean migrations, green CI, solid tests.

Set the bar

• Work clean: feature branches, real PRs, green CI, small changes, semantic versioning.
• Be security-conscious by default — credentials are treated like credit-card numbers; high-risk actions route through human review.
• Mentor, set patterns, and raise the team's technical level.

Who we're looking for

Must-haves

• 5+ years of professional software engineering with strong full-stack depth: Node.js / TypeScript and modern React.
• Hands-on experience building AI agents in production — tool/function calling, orchestration, memory, and evaluation. You've shipped something that uses an LLM to reliably do real work.
• Fluency with the Anthropic / Claude API (or equivalent) and real depth in prompt/context engineering.
• Strong with PostgreSQL and pragmatic API design.
• Able to own a service end-to-end and ship independently in a low-oversight, async environment.
• Excellent written communication and sound judgment around security and autonomous actions.

Bonus

• Built MCP connectors, agent frameworks, or similar orchestration layers.
• Next.js 15, Prisma, Vercel, monorepos (pnpm / Turborepo).
• Light DevOps: Linux VPS, PM2, nginx, CI.
• Used coding agents (Claude Code–style tools) to build real things.
• Integrations: Slack/Teams apps, Twilio, Google Workspace, GitHub.

How we work

Fully remote, global, async-first — no required location. Small, high-trust, and low-bureaucracy, so you'll own real work and thrive without hand-holding. Everyone here builds automations, versions their work, and maintains what they ship.

MyZone AI is an equal-opportunity employer. We hire the best person for the work, wherever they are.

Software Development Engineer (Associate/Intern)

Location: Remote (India preferred) | Type: Full-time | Compensation: Competitive salary + early-stage stock options

🧠 About Alpha

Modern revenue teams juggle 10+ point-solutions. Alpha unifies them into an agent-powered platform that plans, executes, and optimises GTM campaigns—so every touch happens on the right channel, at the right time, with the right context.

Alpha is building the world’s most intuitive AI stack for revenue teams —to engage, convert & scale revenue with an AI powered GTM team. l

Our mission is to make AI not just accessible, but dependable and truly useful.

We’re early, funded, and building with urgency. Join us to help define what work looks like when AI works for you.

🔧 What You’ll Do

You’ll lead the development of our AI GTM platform and underlying AI agents to power seamless multi-channel GTMs.

This is a hybrid UX-engineering role: you’ll translate high-level user journeys into interfaces that feel clear, powerful, and trustworthy.

Your responsibilities:

• Design & implement end-to-end features across React-TS/Next.js, Node.js, Postgres, Redis, and NestJs micro-services for LLM agents.
• Build & document scalable GraphQL / REST APIs that expose our data model (Company, Person, Campaign, Sequence, Asset, ActivityRecord, InferenceSnippet).
• Integrate third-party APIs (CRM, email, ads, CMS) and maintain data sync reliability > 98 %.
• Implement the dynamic agent flow builder with configurable steps, HITL checkpoints, and audit trails.
• Instrument product analytics, error tracking, and CI pipelines for fast feedback and safe releases.
• Work directly with the founder on product scoping, technical roadmap, and hiring pipeline.

✅ What We’re Looking For

• 1–3 years experience building polished web apps (React, Vue, or similar)
• Strong eye for design fidelity, UX decisions, and motion
• Experience integrating frontend with backend APIs and managing state
• Experience with visual builders, workflow editors, or schema UIs is a big plus
• You love taking complex systems and making them feel simple

💎 What You’ll Get

• Competitive salary + high-leverage early equity
• Ownership of user experience at the most critical phase
• A tight feedback loop with real users from Day 1
• Freedom to shape UI decisions, patterns, and performance for the long haul

Job Overview:

We are looking for a high-ownership Software Engineer with hands-on experience in modern full-stack development. The role demands strong fundamentals, the ability to work in a startup environment, and a mindset to build, iterate, and scale products.

You will be working closely with founders and cross-functional teams to build robust, scalable, and high-performance applications.

Core Responsibilities

·        Develop and maintain web applications using Next.js (frontend) and Nest.js (backend)

·        Design, build, and optimize RESTful APIs and backend services

·        Translate business requirements into scalable technical solutions

·        Collaborate with product, design, and business teams for feature development

·        Debug, troubleshoot, and improve application performance

·        Ensure code quality through clean architecture, testing, and best practices

·        Participate in deployment, monitoring, and continuous improvement cycles 

Technical Requirements

·        Strong proficiency in JavaScript and TypeScript

·        Solid understanding of web fundamentals (HTML, CSS, APIs, browser behavior)

·        Hands-on experience with Next.js and Nest.js

·        Working knowledge of PostgreSQL or relational databases

·        Familiarity with Git and GitHub (version control workflows)

·        Understanding of API design principles and backend architecture

Good-to-Have Skills

·        Experience with deployment platforms (Digital Ocean, AWS, Docker, etc.)

·        Knowledge of authentication, authorization, and security practices

·        Exposure to CI/CD pipelines

·        Understanding of scalable system design basics

What We Want

·        Strong problem-solving mindset

·        Ability to learn fast and adapt quickly

·        Comfort working in an unstructured startup environment

·        Ownership-driven attitude (not just task execution)

·        Clear communication and collaboration skills

Ideal Candidate Profile

·        Projects demonstrating end-to-end ownership

·        Contributions on GitHub (active repositories, clean code)

·        Experience building real-world applications (not just tutorials)

·        Ability to explain technical decisions and trade-offs

What You Will Get

·        Opportunity to work directly with startup founders

·        Fast-paced learning environment and accelerated skill development

·        Exposure to real product building and scaling challenges

·        Freedom to experiment, build, and innovate

·        Performance-driven growth and responsibility

·        Competitive compensation aligned with your potential

Additional Details

·        Joining: Immediate (7–15 days preferred)

·        Probation: 3 Months