RTX

3 days ago

Lead Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Design, develop, and deploy production-grade AI applications for aerospace and defense use cases, including prediction, automation, NLP, and decision intelligence. Build LLM-powered systems such as chatbots, document intelligence, summarization, and RAG pipelines. Own end-to-end ML/Generative AI pipelines—training, evaluation, versioning, deployment, monitoring, and optimization—while leveraging cloud platforms (AWS/Azure) and responsible AI governance.

Location: India

Workplace: Hybrid

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Mid level

Key Responsibilities

•Design, develop, train, and deploy ML and AI models for prediction, automation, NLP, and decision intelligence.
•Build and optimize LLM-powered applications such as chatbots, document intelligence, summarization engines, and RAG pipelines.
•Use embeddings, vector search, and RAG architectures to develop scalable AI solutions.
•Perform data preprocessing, feature engineering, and model evaluation to ensure accuracy, reliability, and scalability.
•Develop and manage end-to-end ML/GenAI pipelines (training, validation, versioning, deployment, monitoring, optimization) and apply AI governance and security.

Pay and Benefits

Perks:Health InsuranceLife Insurance

Key Requirements

•Bachelor's/Master's degree in Computer Science Engineering or Electronics and Communication Engineering, with 6-10 years of experience.
•Hands-on experience building generative AI applications using Large Language Models (LLMs).
•Proficiency in prompt engineering and Retrieval-Augmented Generation (RAG), integrating LLMs with structured and unstructured data sources.
•Strong programming skills in Python, plus familiarity with ML libraries such as XGBoost, PyTorch, and TensorFlow.
•Experience with MLOps practices (CI/CD for ML workflows, model versioning, and deployment pipelines) and data handling with SQL.

Experience:6-10 years

Education:Master's in Computer Science Engineering /Electronics and communication Engineering

Tech Stack:PythonXGBoostPyTorchTensorFlowSQLAWSAzureLangChainLlamaIndexLangraphC#LabVIEWTestStandDIAdem

Company Brief

RTX

Designs, manufactures, and services aerospace and defense systems, including aircraft engines, avionics, aerostructures, missiles, and cybersecurity solutions for commercial, military, and government customers worldwide.

Industry: Aerospace Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Arlington, United States

Founded: 2020

Website

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RTX