UP
Lead Forward Engineer
- Hiring from
- India
- Work type
- Remote
- Posted
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Experience: 8.00 + years
Salary: Confidential (based on experience)
Expected Notice Period: 7 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Remote
Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Remunance)
(*Note: This is a requirement for one of Uplers' client - Resilience Capability Building Platform)
What do you need for this opportunity?
Must have skills required:
Applied ML or data engineer, depth in ML and data, Angular and React, ELK stack and Jaeger. Playwright, Python FastAPI; MongoDB, PostgreSQL
Resilience Capability Building Platform is Looking for:
What You''''''''ll Do
Salary: Confidential (based on experience)
Expected Notice Period: 7 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Remote
Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Remunance)
(*Note: This is a requirement for one of Uplers' client - Resilience Capability Building Platform)
What do you need for this opportunity?
Must have skills required:
Applied ML or data engineer, depth in ML and data, Angular and React, ELK stack and Jaeger. Playwright, Python FastAPI; MongoDB, PostgreSQL
Resilience Capability Building Platform is Looking for:
What You''''''''ll Do
- Own outcomes, not tickets. Propose, evaluate and drive solutions through to production, and check they worked.
- Reshape or stop work that will not move the outcome you are accountable for results, not just delivery.
- Set direction with Product: Work with the Director of Product to turn ambiguous business goals into technical and product direction across both product areas.
- Build with AI by default. Spec-driven development, AI-assisted implementation, review and testing alongside the team''''''''s delivery agents — and shape that agentic workforce: which agents exist, where they sit in the development lifecycle, and the human checkpoints around them.
- Build AI into the product. Both product areas ship intelligent capabilities you set the AI architecture patterns they are built on.
- Work with data as a product surface. The datasets, pipelines, embeddings and evaluation sets behind intelligent features get the same rigour as code.
- Work directly with customers. Understand their problems, explain what has been built, and represent our client technically with key customers and partners.
- Run what you build. Take a full turn on the Sev1/Sev2 on-call rota, lead incident resolution and post-incident reviews, and set reliability standards across the platform.
Tech stack
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
- Angular and React front ends in a micro-frontend architecture Node.js and NestJS services plus Python FastAPI MongoDB, PostgreSQL and graph databases (FalkorDB, Neo4j) RESTAPIs, microservices and event-driven architecture on dapr.io, alongside a legacy estate being modernised. Runs on AWS with auto-scaling Kubernetes, CI/CD via ArgoCD and GitLab pipelines, observability through Prometheus, Grafana, the ELK stack and Jaeger. Playwright for E2E testing, k6 forAPI and load testing.
- AI- A product-facing AI engine running Claude models via AWS Bedrock with Amazon Titan embeddings, Cohere Rerank and LlamaIndex, backed by MongoDB Atlas Vector Search and FalkorDB graph storage. An internal agent platform built on the Anthropic Claude Agent SDK with container-isolated personas. A programmatic media pipeline combining Remotion, Claude agent sessions and vision QA, ElevenLabs voice synthesis and generative video/image models.
- A product engineer with strong AI-assisted delivery and real depth in ML and data — retrieval systems, evaluation, data pipelines in production.
- An applied ML or data engineer with strong full-stack product instincts and a track record of shipping.
- Has designed and run production AI/ML systems: retrieval and context design, model selection and routing, evaluation and monitoring, cost and latency trade-offs.
- Has been the technical authority on a platform area: large ambiguous designs, complex production debugging, deployments others rely on.
- Treats evaluation as an engineering discipline — datasets, metrics, regression gates — not an afterthought.
- Has made build-vs-buy and fine-tune-vs-prompt calls with real money attached, and can explain them.
- Comfortable in front of executives and customers can turn ambiguous business goals into direction others follow.
- Has led incidents and post-incident reviews, and raised a team''''''''s reliability bar.
- Step 1: Click On Apply! And Register or Login on our portal.
- Step 2: Complete the Screening Form & Upload updated Resume
- Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
