Gen AI Developer

Live Connections Placements Pvt. Ltd.

Hyderabad

On-site

INR 2,800,000 - 4,000,000

Full time

8 days ago

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Job summary

Live Connections Placements Pvt. Ltd. seeks engineers with 2–5 years of software experience and hands-on GenAI/LLM production exposure. You will own end-to-end GenAI projects, design document pipelines, agent systems and cost-aware optimizations across cloud platforms.

Proficiency in Python and TS/Go/Java is required, with a willingness to work across the stack and collaborate with PMs and clients on 0-to-1 initiatives.

Qualifications

  • B.Tech or equivalent in relevant disciplines (CSE/ECE/Maths & Computing, CS & Business System, AI/ML, Robotics, AI & Data Science).
  • 2–5 years of software engineering with at least one feature shipped to users.
  • Production GenAI/LLM experience, not just POCs or demos.
  • Strong Python and one of TS/Go/Java, across the stack when needed.
  • Experience with LLM costs, latency, evals and prompt versioning.

Responsibilities

  • Lead end-to-end GenAI solution delivery from discovery to production.
  • Make architecture decisions on document pipelines, agent systems and RAG infrastructure.
  • Hardening LLM features with evals, versioning, cost and latency optimization, observability and guardrails.
  • Translate client problems into technical scope and business language and manage stakeholders.

Skills

GenAI experience
System design
Distributed systems
Stakeholder management
Multi-agent orchestration
Vector databases
Production GenAI/LLM
Cloud experience

Education

B.Tech equivalent (CSE/ECE/Maths & Computing, etc.)
AI/ML specializations
CS/Engineering fundamentals
Product feature delivery

Tools

Python
TypeScript
Go
Java
Pinecone
Weaviate
pgvector
AWS
Azure
GCP
Claude Code
Cursor
GitHub Copilot
Windsurf

Job description

Looking B.Tech graduates only from NIT/IIT with degrees in the following disciplines:

  • Computer Science & Engineering (CSE)
  • Electronics & Communication Engineering (ECE)
  • Mathematics and Computing
  • Computer Science & Business System
  • Artificial Intelligence and Machine learning
  • Robotics and Automation Engineering
  • Artificial Intelligence and Data science
Skills
  • End-to-end delivery of Gen AI solutions inside a client engagement — from discovery to production
  • Architecture decisions on document pipelines, agent systems, RAG infrastructure, copilots, and operational AI
  • Hardening LLM features: evals, prompt versioning, cost & latency optimization, observability, guardrails
  • Stakeholder management — translating client problems into technical scope, and technical realities back into business language
  • 2–5 years of software engineering experience with at least one product/major feature shipped to real users
  • Strong Python plus one of TypeScript / Go / Java
  • Comfortable working across the stack when required
  • Proven production GenAI/LLM experience — not just POCs or demos
  • Experience with LLM cost, latency, prompt versioning and evaluation (evals)
  • Strong understanding of system design and distributed systems
  • Hands-on experience with vector databases such as Pinecone, Weaviate or pgvector
  • Cloud experience with AWS / Azure / GCP
  • Comfortable working directly with PMs, stakeholders or clients
  • At least one 0-to-1 project owned end-to-end
  • Experience using Claude Code, Cursor, GitHub Copilot, Windsurf or similar GenAI coding tools, with the ability to critically review AI-generated code
Preferred
  • Built or contributed to internal tooling/platforms used by other engineers
  • Eval frameworks experience (Braintrust, LangSmith, internal eval pipelines)
  • Experience with MCP servers, agent frameworks, multi-agent orchestration
  • Have broken production at least once on an architectural choice — and can articulate the lesson
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