AI Developer
Infosys
About the role
About the Job
As a specialist in electronics and software for the past 20 years, in-tech is a dynamic, fast-growing engineering company headquartered in Munich, Germany employing around 2350 employees globally across 20 project locations in 8 countries.
in-tech develops innovative engineering solutions for the automotive, rail, aerospace, defence, and industrial sectors.
We are committed to a flexible, modern work culture and work-life balance. Our colour orange stands for liveliness, warmth, and dynamism. We value a strong team spirit, fresh ideas and a positive work culture. We call it the "Orange Spirit”!
Since 2024, in-tech became a subsidiary of Infosys Ltd. This strategic partnership enables us to offer our customers even more comprehensive development and digitalisation services and a greater offshore capability. We are looking for experienced
AI Developer
to join our team in based out of our Kochi or Bangalore location with hybrid work options, to lead the design, development, and deployment of cutting-edge AI, Generative AI, and Agentic-AI solutions for enterprise customers. If you’re passionate about joining a growing and dynamic team with a company with a positive culture and team spirit, we’d love to connect with you!
Responsibilities
- Design, plan, and implement AI, Generative AI, and Agentic-AI architectures for customer projects
- Develop custom end-to-end GenAI and LLM-based solutions, using frameworks such as LangChain, LangGraph, AutoGen, HuggingFace, and OpenAI APIs
- Implement and operate machine learning systems using TensorFlow, PyTorch, and modern LLM/ML tooling
- Build and manage cloud-based AI ecosystems on AWS, Azure, or GCP, including architecture design and platform operations
- Apply DevOps/MLOps and LLMOps practices, including CI/CD pipelines, containerization (Docker, Kubernetes), and model deployment workflows
- Collaborate closely with enterprise architects, engineering teams, and C-level stakeholders to align AI roadmaps and solution strategies
- Evaluate and introduce new AI technologies, frameworks, and agentic tools to expand the organization’s (Gen)AI capabilities
- Lead the technical execution of proof-of-concepts (PoCs) in an agile environment
- Provide strategic consulting on cloud-native, scalable, and secure AI platform architectures
Requirements
- Degree in (Business) Computer Science, Engineering, or a comparable technical field
- 5+ years of experience as a Solutions Architect or Enterprise Architect in cloud/data environments
- Proven experience developing and integrating LLM or Generative AI solutions into production systems
- Hands-on project experience designing complex cloud architectures on AWS, Azure, or GCP
- Strong knowledge of AI/ML development with Python and major ML frameworks (TensorFlow, PyTorch, HuggingFace)
- Practical experience with agentic AI frameworks (e.g., LangGraph, AutoGen) and LLM orchestration tools
- Experience with MLOps, DevOps, and container technologies such as Docker and Kubernetes; familiarity with CI/CD for ML models
- Understanding of architecture frameworks and agile methods (Scrum, Kanban)
- Excellent English communication skills
- Willingness to travel, depending on project requirements
Benefits
- Organize your working hours flexibly thanks to our flexitime model.
- Home Office: Work from home or on the move - up to 60% remote working is possible for this position.
- IT equipment: You use modern IT equipment - also when working from home, of course!
- Coffee & Snacks
- Friendly team: With us you will find a warm and open working atmosphere with real team spirit!
- Annual salary adjustments: Annual performance management process with performance-related salary adjustments.
- Pension allowance
Skills
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