Software Engineer - AI Labs

Seclore; Mumbai; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Seclore is seeking an experienced AI/ML engineer to join our team in Mumbai, focusing on AI model evaluation, LLM prompt engineering, and data classification workflows. You will build evaluation pipelines, benchmark models, and help deploy AI solutions across environments, including cloud and on-premise, while collaborating with researchers and engineering teams.

The role emphasizes developing robust Python-based data pipelines, cleaning and curating datasets, and improving the AI platform’s

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, ML, or related field.
• 2+ years of experience in Machine Learning, NLP, AI Engineering, or Software Development.

Responsibilities

• Build and execute evaluation pipelines using ground truth datasets and measure model performance like Precision, Recall, F1 Score.
• Design, develop, and optimize prompts for enterprise-scale classification and ensure regression testing of prompts.
• Curate and maintain labeled datasets; work with annotation tools to improve data quality.
• Develop and enhance components within the AI-powered classification pipeline; write clean Python code.
• Support packaging, validation, and deployment of ML models across cloud, self-hosted, and air-gapped environments.
• Collaborate with AI researchers, Product Engineering, and Security teams on architecture reviews and experimentation.

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Job description

Experience: 2-5 Years

Employment Type: Full-Time

Here's what you will get to explore

AI Model Evaluation & Benchmarking

• Build and execute evaluation pipelines using ground truth datasets.
• Measure model performance using Precision, Recall, F1 Score, and other evaluation metrics.
• Benchmark model and prompt performance across multiple iterations.
• Continuously improve classifier accuracy through structured experimentation.

LLM Prompt Engineering

• Design, develop, and optimize prompts for enterprise-scale classification use cases.
• Perform regression testing to validate prompt quality and consistency.
• Treat prompts as reusable, version-controlled engineering assets.
• Experiment with structured outputs, few-shot prompting, and instruction tuning techniques.

Data Engineering & Classification

• Curate and maintain high-quality labeled datasets for training and evaluation.
• Work with annotation tools to improve data quality using analyst feedback.
• Develop and enhance components within the AI-powered classification pipeline.
• Write clean, scalable, and production-ready Python code.

AI Infrastructure & Deployment

• Support packaging, validation, and deployment of ML models across cloud, self-hosted, and air-gapped environments.
• Contribute to inference infrastructure and deployment automation.
• Collaborate with senior engineers to improve AI platform reliability and scalability.

Collaboration & Innovation

• Work closely with AI researchers, Product Engineering, and Security teams.
• Participate in technical discussions, architecture reviews, and experimentation initiatives.
• Contribute innovative ideas that enhance the AI capabilities of the ARMOR Platform.

We can see the next Entrepreneur at Seclore if you have

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 23 years of experience in Machine Learning, NLP, AI Engineering, or Software Development.

Machine Learning & NLP

• Strong understanding of NLP concepts including tokenization, embeddings, Named Entity Recognition (NER), and text classification.
• Experience working with Transformer-based models using Hugging Face Transformers or equivalent frameworks.
• Hands-on knowledge of AI evaluation metrics including Precision, Recall, F1 Score, and Confusion Matrix.
• Exposure to evaluation frameworks such as RAGAS, DeepEval, MLflow, or similar tools.

LLM & Prompt Engineering

• Hands-on experience working with Large Language Models using OpenAI, Anthropic, or similar APIs.
• Experience developing prompts using structured outputs, few-shot learning, and instruction-based prompting.
• Working knowledge of LangChain, LangGraph, or equivalent LLM orchestration frameworks.
• Understanding of Retrieval-Augmented Generation (RAG), embeddings, and retrieval concepts.
• Curiosity to investigate prompt failures such as hallucinations, output drift, and instruction-following limitations.

Software Engineering

• Strong Python programming skills with experience writing clean, maintainable, and testable code.
• Familiarity with Git, CI/CD concepts, and collaborative software development practices.
• Ability to develop evaluation scripts, automate testing, and generate structured model evaluation reports.
• Basic understanding of Docker containers and deployment workflows.

Nice to Have

• Knowledge of Vector Databases and similarity search.
• Exposure to model fine-tuning or transfer learning techniques.
• Experience with OCR, Intelligent Document Processing (IDP), or document understanding.
• Understanding of data privacy and compliance standards such as GDPR, DPDP, or PCI DSS.
• Academic or professional experience in Information Extraction, Document Intelligence, or Applied NLP.

Why do we call Seclorites Entrepreneurs and not Employees

• We empower people to think like owners, challenge conventions, and build innovative solutions.
• You will work on cutting-edge AI problems where experimentation, creativity, and continuous learning are encouraged.
• Receive direct mentorship from experienced AI leaders while working on real-world enterprise AI applications.
• Build AI solutions that protect sensitive information for Fortune 500 organizations across Banking, Healthcare, Defence, Government, and other highly regulated industries.
• At Seclore, your work has a direct impact on how organizations worldwide secure their most valuable data.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.