Senior Fullstack AI Engineer

Experience
: years

Salary
: Confidential (based on experience)

Shift
: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type
: Office (Bengaluru)

Placement Type
: Full time Permanent Position

**(*Note: This is a requirement for one of Uplers' client - Lifesight)

**What do you need for this opportunity?

Must have skills required:
, JavaScript, , TypeScript, Python, rag, embeddings, Vector DB, chunking, Retrieval strategies

Lifesight is Looking for:*
*Job Description:
Lifesight - Innovation Hub

Job Title:
Senior Fullstack AI Engineer

Location:
Bengaluru, KA, India

Working Model:
Work From Office (5 days)

About Us
Lifesight is a fast-growing SaaS company focused on helping businesses leverage data & AI to improve customer acquisition and retention. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia, and the UK. Our mission is to make it easy for non-technical marketers to leverage advanced data activation and marketing measurement tools that are powered by AI, to improve their performance and achieve their KPIs. Our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth.

Key Responsibilities:

• Build & Ship

• Translate problem statements into architectures and implementation plans; deliver functional MVPs within a few weeks window.

• Develop end‐to‐end features across frontend, backend, data, and AI orchestration; own code quality and reviews.
• Leverage latest AI coding stacks and technologies to speed-run app development and establish best practice on templatization of SaaS business apps.

• Create production‐ready APIs, build agentic systems, background automation jobs, and integrations with third‐party services.

• AI / LLM Engineering

• Design prompts, system instructions, and guardrails; implement function/tool calling and multi‐step reasoning flows.

• Build retrieval‐augmented generation (RAG): data pipelines, embeddings, vector indexes, and context strategies.
• Evaluate and compare models (latency, quality, cost); route requests across providers/models; implement eval harnesses as well as enable feedback improvement loops.

• Instrument and monitor AI behavior (e.g., response quality signals, hallucination detection, safety filters).

• Architecture & Ops

• Choose pragmatic, modern patterns (serverless where possible) with clear boundaries and failure handling.

• Set up CI/CD, IaC, runtime observability (logs, traces, metrics), and cost controls (rate limiting, caching, quotas).

• Ensure data security, privacy, and compliance best practices from day one.

• Quality, Safety & Reliability

• Establish automated testing including AI‐aware tests (prompt/response assertions, red‐team suites).

• Define SLIs/SLOs (availability, latency) and implement graceful degradation and fallbacks.

• Collaboration & Leadership

• Work as the technical counterpart to the PM; shape scope, manage trade‐offs, and de‐risk early.

• Mentor a junior engineer; create lightweight tech docs and run quick design reviews.
• Contribute to the studio's reusable components, templates, and playbooks.

What we are looking for:

• Skills:

• Deep fluency with and Python

• Hands-on experience integrating LLMs (e.g., OpenAI, Gemini, Anthropic), designing prompts/system instructions, and implementing function/tool calling.
• Built at least one RAG system (embeddings, vector DB, chunking, retrieval strategies) and can explain trade‐offs.
• Comfortable with cloud‐native deployment (e.g., Vercel/Cloud Run), CI/CD, IaC, and production observability.

• Strong product sense; bias to ship; excellent collaboration and written communication.

• Experience:

• 4+ years building production software; 3+ years in modern web stacks; 1+ years in AI products. Must've shipped products end‐to‐end.

Our Stack:

• Frontend / App: (App Router), React, Tailwind, shadcn/ui, React Native (as needed)
• Backend: API routes and/or Python FastAPI; tRPC/REST; background jobs (Cloud Tasks/Queues)
• AI: OpenAI, Anthropic; orchestration via LangChain/LlamaIndex or lightweight custom; prompt repos & evals (Langfuse/Humanloop); observability (Helicone)
• Data: PostgreSQL (Neon/Supabase) + pgvector; Prisma/SQLAlchemy; Redis/Upstash; optional vector DB (Pinecone/Weaviate)
• Infra & DevEx: Vercel / Cloud Run, Docker, Terraform, GitHub Actions, Sentry/Datadog, OpenTelemetry
• Quality: Jest/Playwright, PyTest; contract testing; red‐team/safety test suites; load testing (k6/Locust).

We choose tools pragmatically per product; you'll help decide on future stack, set conventions and reusable templates.

Here's what you can expect:

• Early impact – Help shape the tech stack and build products from the ground up.
• Agile culture – Small teams, zero bureaucracy.
• Great benefits – Competitive pay, health insurance, daily breakfast, weekday lunches, Friday team lunch, Fun O'Clock Fridays, and unlimited coffee, tea & snacks.

How to apply:
If this sounds like you, apply now at

. We'd love to hear from you

For more information visit -

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