AI Engineer

Overview

We are looking for a GenAI Engineer who approaches challenges with a problem-first mindset—focusing on the business need before selecting technical solutions. This role requires someone who can leverage state-of-the-art generative AI models, frameworks, and tools to design, build, and deploy impactful AI applications.

You will collaborate with product managers, domain experts, and data engineers to rapidly prototype, validate, and scale GenAI solutions that solve real-world problems across industries.

What you will do:

• Problem Framing & Solutioning
  
  

Understand business challenges and translate them into well-scoped GenAI opportunities.

Apply structured problem-solving before jumping into model selection or coding.

• GenAI Development
  
  

Build and fine-tune applications using LLMs, multimodal models, and retrieval-augmented generation (RAG).

Integrate external tools, APIs, and frameworks (LangChain, LangGraph, Ollama, etc.) into workflows.

Design evaluation pipelines for accuracy, hallucination control, and reliability.

• Tooling & Systems Integration
  
  

Use orchestration tools to combine multiple agents or models into end-to-end workflows.

Connect GenAI outputs with databases, cloud services, and enterprise APIs.

Experiment with open-source and commercial platforms to select the most cost-effective and scalable option.

• Collaboration & Deployment
  
  

Work closely with product managers, UX, and engineering teams to build user-centric solutions.

Deploy models into production environments (cloud or on-prem).

Monitor, optimize, and continuously improve system performance.

The skills you bring:

• Strong foundation in Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face).
• Hands-on experience with LLMs, RAG pipelines, prompt engineering, and fine-tuning.
• Familiarity with LangChain, LangGraph, or similar orchestration frameworks.
• Experience integrating APIs, databases, and cloud platforms (Azure, AWS, GCP).
• Ability to frame problems, run quick experiments, and iterate toward solutions.
• Strong communication skills to explain complex AI solutions to technical and non-technical audiences.
  
  

• Experience with agentic AI systems (multi-agent orchestration, planning, reasoning).
• Knowledge of MLOps for GenAI (CI/CD, monitoring, scaling).
• Background in telecom, finance, or enterprise systems.
  
  

• You start with the problem, not the model—solutions are business-driven.
• You use the right tool for the right job, balancing performance, cost, and scalability.
• You deliver production-ready GenAI applications that solve real user pain points.
  
  

At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

What happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

Primary country and city: India (IN) || Bangalore

Req ID: 781896