Mahadevapura Bengaluru Karnataka Ai/ml engineer Jobs – 3134 Open Jobs Today

AI or ML Engineer - LLMs, RAG, LangChain, LangGraph
Optum —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- DevOps
- Health insurance
11d
Junior AI Engineer
Infosys Limited —Bengaluru, Karnataka
- Microsoft Access
- Azure
- Master's degree
Robotics Perception/Sensor AI Engineer
TELUS Digital —Bengaluru, Karnataka
- ₹35,00,000 - ₹45,00,000 a year
- Full-time
- AI
- Python
Staff AI Engineer
We Remote Devs —Bengaluru, Karnataka
- ₹60,00,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Python & FastAPI Engineer (AI/ML)
Clock Edge Technologies Pvt Ltd —Bangalore City, Bengaluru, Karnataka
- ₹16,00,000 - ₹20,00,000 a month
- Full-time
- Master's degree
- Machine learning
- APIs
Quick apply
AI-Engineer
Falkor —Bengaluru, Karnataka
- Hybrid work
- Computer Science
- System design
- Master's degree
Software Engineer, Platform (India)
Cartesia —Bengaluru, Karnataka
- ₹70,00,000 - ₹90,00,000 a year
- Full-time
- Remote
- Machine learning
- JavaScript
- Python
- Health insurance
- Paid time off
Software Engineer, Machine Learning
Emagesoft Private Limited —Bangalore City, Bengaluru, Karnataka
- ₹3,00,000 - ₹5,00,000 a year
- Full-time
- Computer Science
- Windows
- Master's degree
- Health insurance
Quick apply
AI Engineer
CRAWL CORP INDIA Pvt Ltd —Bengaluru, Karnataka
- From ₹4,00,000 a year
- Full-time
- Computer Science
- SQL
- Analysis skills
Quick apply
AI Engineer
Evam Labs —Bengaluru, Karnataka
- ₹4,80,431.82 - ₹17,89,378.97 a year
- Full-time
- Azure
- AWS
- Machine learning
Quick apply
AI / ML Engineer
Accenture —Bengaluru, Karnataka
- Full-time
- Machine learning
- Computer skills
- AI
AI/ML Engineer
Lenskart —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Oracle
- Master's degree
- Databases
AI Engineer Intern
Beyond Technologies Private Limited —Bangalore City, Bengaluru, Karnataka
- ₹25,000 a month
- Master's degree
- Machine learning
- In-person
Quick apply
23h
Data Science Engineer
FirstHive —HSR Layout Sector 2, Bengaluru, Karnataka
- ₹16,00,000 - ₹28,00,000 a year
- Full-time
- Master's degree
- SQL
- Machine learning
- Commuter assistance
- Health insurance
Quick apply
ML Engineer
FAC INFOSEC PRIVATE LIMITED —Bangalore City, Bengaluru, Karnataka
- Up to ₹10,00,000 a year
- Part-time
- Master's degree
- Machine learning
- AI
- Work from home
- Flexible schedule
Quick apply
AI Engineer Intern
Discover Dollar —Bengaluru, Karnataka
- Software development
- AI
- Internship
Quick apply
GEN AI
CGI —Bengaluru, Karnataka
- Full-time
- Computer Science
- AWS
- Bachelor's degree
Quick apply
Machine Learning Engineer
Vikgol Technologies Private Limited —Bengaluru, Karnataka
- ₹5,27,719.27 - ₹18,47,075.50 a year
- Full-time
- Computer Science
- Bachelor's degree
- Machine learning
Quick apply
11d
Machine Learning Engineer
Coinbase —Bengaluru, Karnataka
- ₹44,08,400 a year
- Email
- Master's degree
- AWS
- Machine learning
ML Engineer
Dentira —Bengaluru, Karnataka
- ₹10,00,000 - ₹16,00,000 a year
- Full-time
- Computer Science
- Data analysis skills
- Master's degree
- Flexible schedule
Quick apply
11d

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AI or ML Engineer - LLMs, RAG, LangChain, LangGraph

Optum -
Bengaluru, Karnataka

Apply Now

Job details

Full-time
11 days ago

Benefits

Health insurance

Qualifications

Spring Boot
CI/CD
Azure
Cloud architecture
Law
Computer Science
Kubernetes
DevOps
Git
Java
Master's degree
Application development
Databases
Microservices
AWS
Docker
Bachelor's degree
Continuous integration
Splunk
REST
APIs
Data science
AI
Python
Spring framework
Data Science
Analytics

Full job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

We are looking for an experienced AI Engineer to design, build, and deploy enterprise-grade AI solutions, with a solid focus on Agentic AI, Retrieval-Augmented Generation (RAG), AI workflow automation, and intelligent application development. The ideal candidate should have hands-on experience building production-ready AI systems using frameworks such as Spring AI, LangChain, LangGraph, and cloud platforms including AWS and Azure.

The role requires a solid engineering mindset, practical experience with LLM-based application development, and the ability to translate business problems into scalable AI-powered solutions.

Primary Responsibilities:

Design, develop, and deploy Agentic AI solutions using LLMs, tools, memory, orchestration, and multi-step reasoning workflows
Build and maintain RAG-based applications using vector databases, embeddings, document ingestion pipelines, retrieval strategies, and prompt engineering
Develop AI-powered workflow automation solutions to improve operational efficiency and business process intelligence
Work with frameworks such as Spring AI, LangChain, LangGraph, and related AI orchestration tools
Integrate AI capabilities into enterprise applications, APIs, microservices, and cloud-native platforms
Build scalable backend services using Java/Spring Boot and/or Python-based AI frameworks
Implement prompt engineering, evaluation, guardrails, observability, and monitoring for AI applications
Work with cloud services on AWS and Azure, including AI/ML services, storage, compute, serverless, containerization, and deployment pipelines
Implement observability and monitoring for application health, AI workflow performance, model behavior, latency, failures, and usage patterns
Collaborate with product owners, architects, data engineers, and business stakeholders to understand requirements and deliver AI solutions
Evaluate emerging AI technologies, LLM providers, model APIs, and open-source frameworks for enterprise adoption
Ensure AI solutions follow security, compliance, privacy, and responsible AI best practices
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

Graduate degree or equivalent experience
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, or a related field, or equivalent practical experience
5+ years of overall software engineering experience
Hands-on experience building AI/ML, GenAI, or LLM-based applications
Solid experience with Agentic AI concepts, including tool calling, planning, memory, multi-agent workflows, and autonomous task execution
Practical experience with RAG architecture, including embeddings, chunking, retrieval, re-ranking, vector search, and document processing
Experience with Spring AI, LangChain, and LangGraph
Experience integrating LLMs such as OpenAI, Azure OpenAI, Anthropic, Amazon Bedrock, or open-source models
Experience with Git, CI/CD pipelines, Docker, Kubernetes, and modern DevOps practices
Experience with Azure OpenAI, AWS Bedrock, SageMaker, Azure AI Foundry, Azure AI Search, or similar cloud-native AI services
Experience with observability and monitoring tools such as Splunk, Dynatrace, Amazon CloudWatch, Azure Monitor, and Azure Log Analytics
Experience with workflow orchestration tools, message queues, or automation platforms
Cloud experience with AWS and Azure, including services related to AI, compute, storage, APIs, containers, and CI/CD
Knowledge of vector databases such as Pinecone, Weaviate, Milvus, Chroma, FAISS, OpenSearch, or Azure AI Search
Knowledge of LLM evaluation, hallucination reduction, grounding, tracing, and observability tools
Understanding of responsible AI, data privacy, access control, and compliance requirements
Good understanding of REST APIs, microservices, event-driven architecture, and enterprise integration patterns
Familiarity with security and governance practices for GenAI applications
Demonstrated solid programming skills in Java/Spring Boot and/or Python
Demonstrated solid problem-solving skills and ability to build reliable, maintainable, production-grade systems

Preferred Qualifications:

AWS, Azure AI Engineer, Kubernetes, DevOps, or cloud architecture certifications
Knowledge of the US Healthcare domain

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Apply Now

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ai/ml engineer jobs in mahadevapura bengaluru karnataka

AI or ML Engineer - LLMs, RAG, LangChain, LangGraph

Junior AI Engineer

Robotics Perception/Sensor AI Engineer

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Python & FastAPI Engineer (AI/ML)

AI-Engineer

Software Engineer, Platform (India)

Software Engineer, Machine Learning

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AI/ML Engineer

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