IN
Full time
🤖 AI / ML
Gen AI Engineer_Danske at Infosys
Listed by DevShelfHub
Bangalore, India
Hybrid
Senior · 5–7 yrs
About the Role
Infosys is hiring a Gen AI Engineer for Danske in Bangalore to design and develop Generative AI and LLM-based applications for enterprise use cases including chatbots, summarization, document intelligence, search, Q&A, and workflow automation.
The role builds RAG pipelines, integrates foundation models from OpenAI, Anthropic, AWS Bedrock, and open-source providers, and productionizes GenAI on AWS or Databricks.
What you'll do
- Design and develop Generative AI / LLM-based applications for enterprise use cases
- Build and optimize RAG pipelines using embeddings, vector databases, chunking, and retrieval strategies
- Work with foundation models from OpenAI, Anthropic, Cohere, Hugging Face, AWS Bedrock, or open-source models
- Develop robust backend services and APIs to integrate GenAI solutions into enterprise platforms
- Fine-tune, evaluate, and improve model responses through prompt engineering and guardrails
- Build scalable AI pipelines on AWS or Databricks for training, experimentation, deployment, and monitoring
- Collaborate with Data Science, ML Engineering, Application Engineering, and Product teams
- Ensure best practices in model deployment, observability, security, governance, and responsible AI
- Contribute to architecture discussions, PoCs, reusable frameworks, and accelerators
What we're looking for
- Strong hands-on experience in Python
- Good experience with Generative AI / Large Language Models (LLMs)
- Solid understanding of NLP, embeddings, transformers, prompt engineering, and LLM application design
- Experience building RAG pipelines
Skills & Technologies
Required
Strong hands-on experience in Python
Good experience with Generative AI / Large Language Models (LLMs)
Solid understanding of NLP, embeddings, transformers, prompt engineering, and LLM application design
Experience building RAG pipelines
Hands-on with LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or LangGraph
Experience with vector databases: FAISS, Pinecone, Chroma, Weaviate, Milvus, Elasticsearch/OpenSearch
Exposure to REST APIs, FastAPI, Flask for serving AI applications
AWS: Bedrock, SageMaker, Lambda, ECS/EKS, S3, API Gateway, CloudWatch, IAM
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- Build production-grade GenAI solutions with RAG, LLMOps, and multi-cloud AI platform experience.
- Design and develop GenAI/LLM applications for chatbots, summarization, document intelligence, and workflow automation
- Build and optimize RAG pipelines with embeddings, vector databases, and prompt orchestration
- Work with foundation models from OpenAI, Anthropic, Cohere, Hugging Face, AWS Bedrock
- Develop backend services and APIs integrating GenAI into enterprise platforms
- Fine-tune and evaluate models through prompt engineering, guardrails, and grounding
- Build scalable AI pipelines on AWS or Databricks for training, deployment, and monitoring
- Collaborate with Data Science, ML Engineering, and Product teams
- Ensure responsible AI, security, governance, and observability best practices
- Contribute to architecture discussions, PoCs, and GenAI accelerators
About Infosys
Infosys is a global leader in digital services and consulting, delivering technology-enabled transformation across Data & Analytics and enterprise AI adoption.
- Industry
- Technology
- Company Size
- 500+
- Website
- infosys.com
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Job Details
- Type
- Full time
- Level
- Senior
- Experience
- 5–7 years
- Location
- Bangalore, India
- Work Mode
- Hybrid
- Category
- AI / ML
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