GenAI Engineer

ESP Engineered; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Above-industry remunerations

Firm-building opportunities for professional development

Empathetic organizational culture

Job summary

ESP Engineered in Bengaluru, Karnataka is seeking a Gen AI Engineer with expertise in Natural Language Processing to optimize and deploy AI models. The role involves model fine-tuning, cloud integration using AWS or Azure, and building RESTful APIs. Candidates must have a degree in computer science or data science, and experience with Python and AI frameworks is essential. The position offers above-industry remunerations and opportunities for professional growth in an empathetic, results-driven environment.

Qualifications

• Strong programming skills in Python.
• Experience with cloud platforms such as AWS and Azure.
• Familiarity with AI frameworks and tools like LangChain, PyTorch, and SpaCy.

Responsibilities

• Finetune Large Language Models (LLMs) for improved performance.
• Deploy generative AI models using Azure and AWS.
• Implement NLP-based solutions and develop indexing/search capabilities.
• Build and maintain RESTful APIs to serve AI models.

Skills

Python

NLP

Cloud platforms

AI frameworks

Docker

Flask

FastAPI

LangChain

PyTorch

SpaCy

Education

Bachelor's or Master's degree in computer science, data science, or related field

Job description

Position Summary

We are seeking a highly skilled Gen AI Engineer with a strong background in Natural Language Processing (NLP), model fine‑tuning, deployment and evaluation. The ideal candidate possesses hands‑on experience with Python and cloud platforms (Azure, AWS) along with familiarity with various AI frameworks and tools such as Langchain, PyTorch, and SpaCy.

Role and Responsibilities

• Model Fine Tuning & Training: Finetune Large Language Models (LLMs) to optimize their performance for specific tasks and improve overall model accuracy.
• Model Deployment: Deploy generative AI models into production environments using cloud platforms (Azure, AWS) and containerization technologies such as Docker.
• Cloud Integration: Design and implement end‑to‑end AI solutions using services from Azure or AWS Marketplace, including but not limited to Cognitive Services, Object Storage, API Management (APIM), and App Services.
• NLP & Search Solutions: Implement NLP‑based solutions and develop indexing/search capabilities, with in-depth experience in at least one indexing system.
• API Development: Build and maintain RESTful APIs using frameworks like Flask or FastAPI to serve AI models and integrate them with external systems.
• LLM Evaluation & Agentic AI: Evaluate the performance of LLMs for various use cases and explore the potential of Agentic AI to improve system efficiency.
• Continuous Learning & Research: Stay up‑to‑date with the latest advancements in Generative AI, NLP, and related fields and incorporate these advancements into the development process.

Requirements

Education: Bachelor's or Master's degree in computer science, data science, or a related field. Relevant certifications in AI, machine learning, or data science are a plus.

Technical Skills

• Strong programming skills in languages like Python.
• Proficiency in AI frameworks and tools such as LangChain, LangGraph, PyTorch, DSPy, and SpaCy.
• Experience with web frameworks like Flask and FastAPI.
• Experience in containerization tools such as Docker.
• Proficiency in cloud platforms such as AWS and Azure.
• Experience with at least one indexing system.

Additional Skills

• MCP
• API Development
• LLM EvaluationAgentic AI

What We Offer

• Bootstrapped and financially stable with high pre‑money evaluation.
• Above‑industry remunerations.
• Additional compensation tied to renewal and pilot project execution.
• Firm‑building opportunities that offer a stage for holistic professional development, growth, and branding.
• An empathetic, excellence‑driven, and result‑oriented organization that believes in mentoring and growing teams with a constant emphasis on learning.