MYCPE ONE
Website:
my-cpe.com
Company:
https://www.linkedin.com/company/mycpeone
Seniority: Mid-Senior level
Industries: Financial Services and Outsourcing and Offshoring Consulting
Job details:
The role
You will lead the engineering team that builds AI-powered features into our production products. This is a hands-on full-stack leadership role. You will architect and write code across the front-end, the back-end and the AI layer; review the team's work; turn business requirements into technical designs; and be accountable for what ships. You begin on the myCPE platform, our admin panel and public web application.
What you will do
- Design and write production features end to end: database schema, back-end APIs, front-end interfaces, and the AI layer connecting them.
- Build LLM-powered capabilities retrieval-augmented generation over our content and client data, AI agents and tool-use workflows, document extraction and generation, classification, recommendation, and conversational interfaces.
- Own the quality bar for AI output: retrieval accuracy, hallucination control, evaluation harnesses, and cost and latency budgets.
- Lead 5–8 engineers. Several have 7–10 years' experience and already lead sub-teams, so you will need to earn technical respect from senior people, not only direct juniors.
- Review code and designs, set standards, and hold the team to them.
- Grow the team into AI-capable full-stack engineers.
- Convert business requirements and design documents into technical designs your team executes against.
- Work directly with product managers and business stakeholders, including non-technical ones.
- Identify where AI genuinely solves a business problem and say so plainly when it does not.
Technology Stack
- Back-end: PHP 8.3, Laravel 10 (primary), Python (AI services), CodeIgniter (legacy CRM)
- Front-end: Vue.js, Blade, Bootstrap, JavaScript/jQuery, Laravel Mix
- Database & Search: MySQL (AWS Aurora), MongoDB, ElasticSearch, Pinecone (Vector Database)
- AI & Machine Learning: OpenAI GPT-4o, Anthropic Claude, RAG (Retrieval-Augmented Generation), Agentic AI & Tool-Use Patterns
- Infrastructure & DevOps: AWS (S3, CloudFront, RDS), Docker, AWS CodeDeploy
- Third-Party Integrations: Stripe, SendGrid, Twilio, Zoom, DocuSign, Firebase, Pusher
- Architecture: Scalable, cloud-native, AI-first platform with microservices and API-driven integrations.
On programming languages: we care that you can reason about an unfamiliar codebase and become productive in a new language quickly. Deep Node/React or Python experience is welcome if you can show you pick up new stacks fast. If you will only work in one language, this is not the role for you.
Requirements
- 7+ years building and shipping production software.
- Demonstrable full-stack ownership you have personally built and deployed applications where you wrote both the interface users touch and the services behind it.
- 3+ years leading engineers direct reports, or a technical lead role with genuine accountability for a team's output. Please state team size and scope.
- Hands-on LLM application experience , at least one AI feature shipped to production users. You should be able to explain your retrieval design, how you controlled output quality, and what it costs to run.
- Strong relational database skills schema design, query optimisation, and the judgement to recognise when the database is the bottleneck.
- Sound engineering fundamentals the ability to reason from first principles about an unfamiliar problem. We assess this directly.
- Fluent professional English, spoken and written you will work with US-based stakeholders.
- Based in, or willing to relocate to, Ahmedabad.
Preferred
- PHP/Laravel experience, or a clear track record of moving between frameworks quickly.
- Agent frameworks, tool-use patterns, or multi-step AI workflows.
- Evaluation and observability for AI systems — golden test sets, regression detection, drift monitoring.
- Product-company background, where you owned a system over years rather than delivering and moving on.
- Exposure to US accounting, tax, audit or professional-education domains.
Not Required
- A master's degree, PhD, or any particular institution — we hire on demonstrated work.
- Machine learning research, model training, or fine-tuning experience.
- Prior experience in our exact stack.
This is not a data science or ML engineering role. We do not train models, fine-tune LLMs, or build ML pipelines from scratch. We consume model APIs and build excellent products around them. If your expertise is model architecture, training or research, this role will not use it.
Not a back-end-only role. You will write front-end code regularly. Specialising in back-end or AI infrastructure alone is a legitimate career choice it is simply not this job.
Not a pure management role. You will be in the codebase every week.
Not remote or hybrid. The team is in Ahmedabad and so is this role.
For application you must include
- One AI feature you shipped to production — what it did, how the retrieval or agent layer worked, and how you knew it was performing.
- The largest team you have led and what you were accountable for.
- A link to something you have built, if available.
Click on Apply to know more.
