Software Engineer - AI Labs

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

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 or…