Generative AI Engineer

ElevenX Capital; Gurugram District; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

A dynamic tech firm in Gurugram is seeking a Mid-Senior Software Engineer to develop their next-generation conversational AI platform. The candidate should have 4–6 years of experience in Python, with a solid understanding of LLMs and backend services using FastAPI. Responsibilities include building LLM-powered features and optimizing backend services. This full-time role offers the opportunity to collaborate with engineering teams on innovative AI solutions.

Qualifications

• 4–6 years of experience in Python software engineering.
• Strong practical experience with LLMs, RAG, and embeddings.
• Experience with voice/real-time systems is a plus.

Responsibilities

• Build, optimize, and maintain LLM-powered features.
• Develop backend services using FastAPI.
• Collaborate with product and engineering teams.

Skills

Python software engineering

LLMs

APIs/services using FastAPI

Data evaluation and debugging

Tools

FastAPI

Pipecat

Job description

Summary of Responsibilities

We are building a next-generation conversational AI platform (voice and text). We are looking for an engineer with strong hands‑on experience in Python and modern AI systems.

Responsibilities

• Build, optimize, and maintain LLM-powered features, including RAG pipelines and agentic workflows.
• Develop backend services using FastAPI and integrate multiple LLM providers.
• Work with Pipecat for voice pipelines and real‑time conversational systems.
• Analyze data, identify gaps, and implement improvements to model quality and system performance.
• Collaborate with product and engineering teams to ship reliable, production‑ready AI features.

Qualifications

• 4–6 years of experience in Python software engineering.
• Strong practical experience with LLMs, RAG, embeddings, vector stores, and agentic AI.
• Experience building APIs/services using FastAPI.
• Experience with voice/real‑time systems or Pipecat is a plus.
• Ability to evaluate data pipelines, debug issues, and make data‑driven improvements.
• Solid understanding of software engineering best practices and production deployment.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

• Engineering and Information Technology
• Industries: Venture Capital and Private Equity Principals, Software Development, and Higher Education