Uplers
Website:
uplers.com
Job details:
Experience: 6.00 + years
Salary: INR 3000000-4000000 / year (based on experience)
Expected Notice Period: 30 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Office ()
Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Lyzr)
(*Note: This is a requirement for one of Uplers' client - Lyzr)
What do you need for this opportunity?
Must have skills required:
React / Next.js, Python, LLM, rag, Platform delivery, AWS, Mongo DB, evaluation frameworks
Lyzr is Looking for:
As an
Engineering Lead at Lyzr, you will own the
execution, quality, and
scalability of the GenAI platform and
customer-facing agentic systems. This is a hands-on leadership role at the
intersection of
backend engineering, distributed systems, and
GenAI infrastructure. You will lead engineers
building core platform primitives such as
agent orchestration, RAG pipelines, LLM integrations, and
observability systems.
What You’ll Do:
- Lead backend engineers building Lyzr’s GenAI platform using Python & FastAPI, ensuring correctness, performance, and maintainability.
- Own end-to-end delivery design, development, testing, deployment, and production operations.
- Translate GenAI/agentic architectures into scalable backend systems, balancing flexibility, reliability, and speed.
- Drive system design decisions across architecture, data models, APIs, and critical code paths.
- Build and scale multi-agent orchestration systems (tools, memory, state, long-running workflows).
- Design and optimize production-grade RAG pipelines (ingestion → retrieval → re-ranking → context assembly).
- Develop and maintain robust APIs for agents, tools, and external integrations with backward compatibility.
- Optimize LLM performance (latency, cost, throughput) via model selection, caching, and request design.
- Implement observability (logging, metrics, tracing, alerting) and lead incident response & RCA.
- Collaborate with Solutions Architects & Product Managers on feasibility, roadmap, and delivery.
- Mentor engineers via design/code reviews, improving overall engineering quality.
- Ensure secure data handling, access control, and compliance for enterprise and PII-sensitive use cases.
What You Need to Excel:
Years of experience:
- 6+ years of experience in backend, platform, or distributed systems engineering.
- 2+ years of experience in a technical leadership role such as Engineering Lead, Tech Lead, or Senior Engineer, owning system-level decisions.
- Strong sense of accountability, ownership, and product expertise.
Proven experience delivering:
- Backend or platform systems operating at production scale in a SaaS or enterprise environment.
- GenAI-powered systems such as agents, chatbots, copilots, or workflow automation tools.
- RAG-based applications leveraging vector databases and embedding pipelines.
- APIs and microservices consumed by internal teams, frontend applications (React / Next.js), and external enterprise customers.
- Highly available systems with strong observability, monitoring, and operational discipline.
- Strong understanding of:
- Backend system design, distributed systems, and API architecture.
- Python-based backend development, preferably using FastAPI.
- LLMs, embeddings, prompting strategies, and tool-calling mechanisms.
- Vector databases such as Qdrant, Weaviate, Chroma, or MongoDB-based vector search.
- Data stores including MongoDB and relational databases.
- Cloud-native architectures on AWS, including containerized and managed services.
- Performance tuning, scalability, and cost optimization for GenAI workloads.
- Security, privacy, and compliance considerations for enterprise AI systems.
Nice to Have:
- Experience building developer platforms or internal infrastructure products.
- Exposure to frontend systems (React / Next.js) and full-stack collaboration patterns.
- Startup or zero-to-one product development experience.
- Experience with Kubernetes or large-scale distributed systems.
- Familiarity with LLM evaluation frameworks and human-in-the-loop systems.
- Prior experience leading or mentoring fast-growing engineering teams.
Interview Process:
- Round 1: Technical Round
- Round 2: Assignment
- Round 3: Cultural Fitment
How to apply for this opportunity?
- 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!
About Uplers:
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!
Click on Apply to know more.