Bengaluru Karnataka Ai for healthcare Jobs – 1550 Open Jobs Today

AI Engineer – AI Agents (Healthcare)
100MS —Bengaluru, Karnataka
- ₹20,00,000 - ₹50,00,000 a year
- System design
- Master's degree
- JavaScript
Quick apply
Product Manager - AI Agents (Healthcare)
100MS —Bengaluru, Karnataka
- ₹25,00,000 - ₹50,00,000 a year
- Hybrid work
- Computer Science
- Master's degree
- AI
Quick apply
Support Engineer
Drongo AI Private Limited —Doddakallasandra, Bengaluru, Karnataka
- From ₹4,00,000 a year
- Full-time
- Computer Science
- Software troubleshooting
- Windows
Quick apply
Senior Product Engineer - AI Agents (Healthcare)
100MS —Bengaluru, Karnataka
- ₹25,00,000 - ₹60,00,000 a year
- Hybrid work
- Computer science
- Azure
- Computer Science
Quick apply
Data Scientist for AI Products
Linde —Bengaluru, Karnataka
- Azure
- DevOps
- English
Benefit Verification Specialist - AI Agents (Healthcare)
100MS —Bengaluru, Karnataka
- Full-time
- English
- Master's degree
- In-person
Quick apply
Security and Compliance Lead – AI Agents (Healthcare)
100MS —Bengaluru, Karnataka
- ₹50,00,000 - ₹80,00,000 a year
- Rotational shift
- Hybrid work
- Azure
- HIPAA
- Master's degree
- Health insurance
Quick apply
Technical Product Manager - cloud/finops/data analytics/AI
Optum —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- B.Sc
- Health insurance
Data Engineer - Social, Healthcare and Public Entities Tech
McKinsey & Company —Bengaluru, Karnataka
- Azure
- Computer Science
- Master's degree
AI Generalist (AI Tools & Automation)(NON-engineering)
CLINIC LIVING PLUS —Bengaluru, Karnataka
- ₹28,000 - ₹33,000 a month
- Full-time
- In-person
- AI
- Marketing
- Cell phone reimbursement
- Flexible schedule
Quick apply
Data Analyst
ServiceChannel —Bengaluru, Karnataka
- Remote
- Machine learning
- Communication skills
- Analytics
- Health insurance
- Life insurance
22h
AI Intern
Archle Labs —Bangalore City, Bengaluru, Karnataka
- Azure
- Computer Science
- Research
Quick apply
Staff AI Scientist
GE HEALTHCARE —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Research
Capabilities & Insights Analytics Analyst - Healthcare Access, Quality, and Outcomes
McKinsey & Company —Bengaluru, Karnataka
- Engineering
- Databases
- SQL
19h
AI/ML Engineer
Solventum —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Computer Science
- English
Python+ Gen AI Engineer
Persistent —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Master's degree
- Databases
- Flexible schedule
Consultant – EMEA Life Sciences, Strategy Consulting
IQVIA —Bengaluru, Karnataka
- Full-time
- Project management
- Bachelor's degree
- Travel
IT Engineer - AI Agents (Healthcare)
100MS —Bengaluru, Karnataka
- Hybrid work
- Azure
- Microsoft Outlook
- Computer Science
Quick apply
Operations Executive
Valeo Wellbeing —Bengaluru, Karnataka
- ₹5,00,000 - ₹6,00,000 a year
- Full-time
- Microsoft Excel
- Bachelor's degree
- Business Administration
- Health insurance
- Paid time off
Quick apply
6d
Research Intern (Computer Vision)
Drongo AI Private Limited —Doddakallasandra, Bengaluru, Karnataka
- From ₹25,000 a month
- Full-time
- Computer Science
- Research
- Master's degree
Quick apply
1d

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AI Engineer – AI Agents (Healthcare)

100MS
Bengaluru, Karnataka

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Job details

₹20,00,000 - ₹50,00,000 a year

Qualifications

Law
System design
Master's degree
JavaScript
APIs
AI
Python

Full job description

We’re looking for an AI Engineer to help us design, evaluate, and scale our next generation of LLM-powered agents. This role is deeply technical, but also product and customer-oriented: you’ll build datasets, run evaluations, improve model performance, and ensure our agents deliver real value in real workflows.

As an AI Engineer, you’ll work across Engineering, Product, and Customer teams to continuously improve our agent quality, reliability, and speed. You won’t just build agents — you’ll build the systems, metrics, and feedback loops that make those agents better over time.

Responsibilities

Build, curate, and maintain agentic workflows along with datasets for training and evaluation.
Run systematic LLM evaluations, track regressions, and ensure models meet quality bars.
Define and implement LLM performance metrics(e.g., correctness, latency, hallucination control, safety).
Work closely with Product and Customer-facing teams, experiment with prompting techniques, fine-tuning datasets, retrieval strategies, and model configurations and ensure agent behaviour aligns with user expectations.
Develop internal tooling to speed up evaluation, annotation, and iteration cycles.
Build automated pipelines for regression checks and model monitoring.
Create mechanisms that turn real user interactions into actionable model improvements.
Ensure agents behave consistently across large-scale production scenarios.
Debug complex system behaviours spanning prompts, tools, APIs, and model responses.
To understand real-world use cases and failure modes. Translate customer insights into model needs, data requirements, and product improvements.
Tune latency, turn-taking, and conversational naturalness for voice AI systems.
Write clean, reliable code in Python or JS for model pipelines, tools, and integrations.
Think in systems: from data ingestion to model outputs to user-facing behaviour.

Success Looks Like

Strong evaluation coverage with clear, actionable metrics.
Faster iteration cycles due to improved internal tools and workflows.
Measurable improvement in agent accuracy, consistency, and safety.
Reliable agent performance in production — fewer escalations, fewer regressions.
Clear alignment between customer needs and agent capabilities.
Smooth collaboration across engineering, product, and customer teams.

What We’re Looking For

2–5 years experience in software engineering, with strong fundamentals in building reliable, scalable systems.1–2 years of experience working on AI-backed products(LLM engineering, evaluations, prompting, or agent development).
Hands-on experience with LLMs, prompt engineering, evaluation frameworks, or dataset creation.
Strong understanding of how LLMs work: prompting, fine-tuning, evaluation, guardrails, and system design.
Solid software engineering skills and comfort with APIs and cloud environments.
Experience building internal tools or automation pipelines.
Ability to think from the customer backward: empathetic, detail-oriented, and outcome-driven.
Excellent communicator who collaborates well across cross-functional teams.
Fast learner who loves turning cutting-edge research into practical, dependable systems.
Bonus: experience with voice AI, speech technologies, or real-time agent systems.

Why This Role Matters

In healthcare, accuracy and trust are everything. Patients, providers, and payers rely on our AI agents to handle critical interactions. Deployment Engineers make this possible by turning AI from a raw model into something practical, reliable, and human-friendly.

Why 100ms.ai

You'll be part of a small team at a fast-growing engineering-first startup.
You'll work with engineers across the globe with experience in video at places like Facebook and Hotstar.
You can grow as an individual contributor or as a team leader - freedom to set your own goals.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Refine Your Search

ai for healthcare jobs in bengaluru karnataka

AI Engineer – AI Agents (Healthcare)

Product Manager - AI Agents (Healthcare)

Support Engineer

Senior Product Engineer - AI Agents (Healthcare)

Data Scientist for AI Products

Benefit Verification Specialist - AI Agents (Healthcare)

Security and Compliance Lead – AI Agents (Healthcare)

Technical Product Manager - cloud/finops/data analytics/AI

Data Engineer - Social, Healthcare and Public Entities Tech

AI Generalist (AI Tools & Automation)(NON-engineering)

Data Analyst

AI Intern

Staff AI Scientist

Capabilities & Insights Analytics Analyst - Healthcare Access, Quality, and Outcomes

AI/ML Engineer

Python+ Gen AI Engineer

Consultant – EMEA Life Sciences, Strategy Consulting

IT Engineer - AI Agents (Healthcare)

Operations Executive

Research Intern (Computer Vision)

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