Search by job, company or skills

AI Engineer

AI Engineer

Thales Group
Fresher
Not Disclosed
Early Applicant
  • Posted 5 hours ago
  • Be among the first 20 applicants

Job Description

Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space, cybersecurity and digital identity, we're driven by a mission to build a future we can all trust.

Present in India since 1953, Thales is headquartered in Noida and has other operational offices and sites spread across Delhi, Gurugram, Bengaluru and Mumbai, among others. Over 2200 employees are working with Thales and its joint ventures in India. Since the beginning, Thales has been playing an essential role in India's growth story by sharing its technologies and expertise in Defence, Aerospace and Cyber & Digital sectors. Thales has two engineering competence centres in India - one in Noida focused on Cyber & Digital business, while the one in Bengaluru focuses on hardware, software and systems engineering capabilities for both the civil and defence sectors, serving global needs. The Group has also established an MRO (Maintenance, Repair & Overhaul) facility in Gurugram to provide comprehensive avionics maintenance and repair services to Indian airlines and support the growth of the local aviation industry.

Mandatory Skills

  • Programming languages: Strong proficiency in Java and JavaScript
  • Software architecture: Good experience with modern microservices architecture and REST APIs
  • Applied AI expertise: Strong experience in AI solution patterns, including:
    • Agentic architectures
    • RAG pipelines
    • Orchestration frameworks
    • Evaluation pipelines
    • Intelligent automation
  • Modern AI system concepts: Understanding of:
    • Memory management
    • Planning
    • Tool orchestration
    • Model evaluation
    • Guardrails
    • Responsible AI principles
  • Frontend framework: Strong proficiency in React
  • Backend framework: Strong proficiency in Spring Boot
  • Database: Good experience with PostgreSQL
  • Development practices: Familiarity with the software development lifecycle and tools/methodologies (e.g., Git, Agile)
  • Team & mindset: Autonomy, technical excellence, communication, teamwork, problem-solving, adaptability, curiosity, continuous improvement
  • undefined
  • undefined Desired Skills

    Good experience developing modern web applications using React + Spring BootGood experience with Test-Driven Development (TDD)Strong understanding of Object-Oriented Concepts, Data Structures, and AlgorithmsGood experience preparing technical documentationExperience setting up GitLab CI/CD pipelinesExperience implementing AI-assisted development workflows (automation, code generation, AI-assisted review/quality gates)

At Thales, we're committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you'll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference - for a safer, greener, and more inclusive world.

More Info

Job Type:
Employment Type:

About Company

Similar Jobs

Hyderabad, Bengaluru, Mumbai, Pune, India
Skills:
data engineering , Sql, Gcp, MLops, Azure, Python, AWS, LangChain, Agentic AI frameworks, Model monitoring, LLMs, LLMOps, Performance optimization, Data processing frameworks, AI deployment pipelines, LangGraph, Vector Databases, Data ingestion, RAG, ETL pipelines
Bengaluru, India
Skills:
.NET, Node, Python, MCP toolchain, AI tools, Claude Agent SDK, Shared RAG services, LLM gateway, MCP
Bengaluru, India
Skills:
React, Gcp, Docker, FastAPI, Azure, Python, Kubernetes, AWS, LangChain, Vector databases, Multi agent systems MCP, LangGraph, Agentic AI, API integrations, Data pipelines, RAG pipelines, Tool calling