BENGALURU · FULLTIME
AI/ML Developer
Infosys
Bengaluru · onsite · Posted 9d ago
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Undisclosed5–10 yrsfulltimeBengaluru
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Section · 01
About this role
We are looking for experienced AI/ML Engineers who can build and productionize enterprise-grade Machine Learning, Generative AI and Agentic AI solutions.
The ideal candidate will combine strong Python and Machine Learning fundamentals with hands-on experience in AWS AI/ML services, Retrieval-Augmented Generation (RAG), LLM integration and agentic workflows. You should be comfortable taking solutions from experimentation and model development through deployment, evaluation, monitoring and production operations.
This is a hands-on engineering role for professionals who have built real ML/GenAI solutions rather than only experimented with LLM APIs.
Responsibilities
- Design and deploy end-to-end ML and Generative AI pipelines on AWS using Amazon SageMaker and Amazon Bedrock.
- Build intelligent LLM-powered agents and Agentic AI workflows using LangGraph and/or LangChain.
- Architect production-ready RAG solutions, covering document ingestion, chunking, embeddings, metadata, vector indexing, retrieval and response generation.
- Develop and productionize ML models for use cases such as forecasting, recommendations, prediction and customer analytics.
- Integrate foundation models and LLM APIs including Amazon Bedrock and OpenAI into scalable enterprise applications.
- Engineer robust prompting, context-management and tool-calling/orchestration workflows for LLM applications.
- Implement LLM evaluation, grounding, hallucination mitigation and responsible-AI guardrails.
- Build semantic and hybrid retrieval solutions with vector/search technologies such as FAISS, Pinecone and OpenSearch.
- Apply MLOps/LLMOps principles for model and application deployment, versioning, evaluation, monitoring and lifecycle management.
- Develop scalable Python-based APIs and services to expose AI/ML capabilities to downstream applications.
- Collaborate with data engineers, architects, product teams and cloud/platform engineers to move AI solutions from prototype to production.
Technical Requirements
Must-Have Skills
- Programming ML
- Strong Python
- Scikit-learn
- TensorFlow and/or PyTorch
- Machine Learning model development and production deployment
- ML pipelines and MLOps concepts
Generative AI / Agentic AI
- Generative AI / LLM application development
- LangGraph and/or LangChain
- Agentic AI / AI Agents
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- Embeddings and semantic retrieval
- LLM evaluation and grounding techniques
- Tool/function calling and agent orchestration
AWS
- Amazon Bedrock
- Amazon SageMaker
- Experience deploying AI/ML workloads within AWS environments
LLM Integration
- Amazon Bedrock model integration and/or OpenAI APIs
- Foundation-model integration
- API-driven GenAI applications
Vector Search / Databases
- FAISS
- Pinecone
- OpenSearch
- Or comparable vector database/retrieval technology
Additional Responsibility
- Experience: 5-15 Years
- Locations: Bangalore | Chennai | Pune | Hyderabad | Trivandrum
- Employment: Full-time
- Educational Requirement: MCA,MSc,MTech,Bachelor of Engineering,BTech
- Preferred Skills: Technology->AI-AI Engineering->AI/ML Solution Architecture and Design->traditional ai ml
- Service Line: Data Analytics Unit
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Section · 02
Skills
BedrockApplication Deploymentapisamazon web servicesenterprise applicationsFAISSDownstreamcustomer analyticsEmbeddingsAnalyticsconstructiondeploymentcloudArchitectureApplication DevelopmentAi SolutionsGenerative AiArtificial IntelligenceForecasting
Section · Company
About Infosys
Infosys
IT Services & Consulting
323.6k+
employees
1981
45 years old
Bengaluru/Bangalore, Karnataka
India
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