Bengaluru Karnataka Developer escalation engineer Jobs – 146 Open Jobs Today

Senior AI Engineer
Ipeople Infosysteams LLC —Bengaluru, Karnataka
- ₹1,80,000 - ₹2,10,000 a month
- Call employer
- Hybrid work
- Master's degree
- AWS
- APIs
Quick apply
1d
Manager Product Support - BugSnag
SmartBear —Bengaluru, Karnataka
- Software troubleshooting
- Salesforce
- English
14d
Senior Engineer II-Software Development
Microchip Technology —Bengaluru, Karnataka
- Full-time
- Computer Science
- Windows
- C++
CyberArk Security Engineer
GSSTech Group —Bengaluru, Karnataka
- Computer networking
- Banking
Quick apply
Senior Solutions Engineer
Couchbase, Inc. —Bengaluru, Karnataka
- Remote
- Azure
- Java
- Databases
- Health insurance
- Paid time off
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Professional Services Tech Lead/Architect
Fortinet —Bengaluru, Karnataka
- Full-time
- Travel
- Scripting
- Leadership
- Flexible schedule
Platform Reliability Engineer (SRE / DevSecOps)
LIFESIGHT TECHNOLOGIES PRIVATE LIMITED —Bengaluru, Karnataka
- Azure
- Master's degree
- AWS
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Assoc Ops Specialist
Deltek, Inc. —Bengaluru, Karnataka
- Computer science
- English
- Java
2d
ITOM Observability Senior Engineer
Elanco —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Computer Science
- AWS
1d
Head of Technology
RemoteStar —Bengaluru, Karnataka
- Full-time
- Master's degree
- Databases
- AWS
Senior Software Engineering Manager
Thermo Fisher Scientific —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- PMP
Senior Site Reliability Engineer
Pivotree —Bengaluru, Karnataka
- Rotational shift
- Software troubleshooting
- DevOps
- AWS
Quick apply
Security Engineer
CodeRabbit —Bengaluru, Karnataka
- Full-time
- Azure
- Master's degree
- AWS
Staff Engineer - Linux kernel Developer
Nutanix —Bengaluru, Karnataka
- Remote
- Computer Science
- Master's degree
- Bachelor's degree
Project Manager
Infinite Computer Solutions Ltd. —Bengaluru, Karnataka
- Azure
- Bachelor's degree
- Software development
Administrator - SIEM ( SO1 )
Microland —Bengaluru, Karnataka
- Bachelor's degree
Senior DevSecOps Engineer
Haleon —Bengaluru, Karnataka
- Full-time
- Azure
- DevOps
- Analysis skills
Principal Infra Developer
Cognizant —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- AWS
- Analysis skills
Full Stack Application Engineer
Dentsu —Bengaluru, Karnataka
- Full-time
- Azure
- Master's degree
- SQL
7d
Customer Success Engineer (India GCC)
Copado —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Salesforce
- DevOps
- Agile
Quick apply

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Senior AI Engineer

Ipeople Infosysteams LLC
Bengaluru, Karnataka

Quick apply

Job details

Contractual / Temporary
₹1,80,000 - ₹2,10,000 a month
1 day ago

Qualifications

Power BI
Law
Tableau
Master's degree
RBAC
OS Kernels
AWS
APIs
ServiceNow
AI
Python
Analytics

Full job description

Role Title: Senior AI Engineer

Location : Bangalore (Hybrid)

Contract duration: 6 Months

Minimum Experience

8+ years AI/ML/software engineering, 2+ years LLMOps/GenAI experience

Key Skills

AI/ML, GenAI, LLMOps, Routing Intelligence, Intent Classification, Token Governance, Cost Optimization, AI Observability

Role Summary

We are looking for a Senior AI Engineer to design and build App Routing Intelligence Layer and AI cost governance capabilities.

The routing layer should determine whether a user request can be handled by a deterministic API, guided workflow, cached response, clarification step, or MuleSoft Agent Fabric. This role is responsible for building the intelligence that enables App to route requests efficiently without making unnecessary LLM calls.

The ideal candidate should have strong experience with intent classification, AI routing, LLMOps, evaluation, observability, cost controls, and enterprise AI governance.

Key Responsibilities

Design and build the App Routing Intelligence Layer.
Implement API-first routing logic to reduce unnecessary LLM usage.
Build intent classification and routing strategies using rules, catalogs, lightweight classifiers, and confidence scoring.
Define when ARMI should route to:
API Engine
Guided workflow
MuleSoft Agent Fabric
Notification Engine
Clarifying question
Access denied / policy block
Define and manage the intent catalog, API action catalog, agent catalog, and routing rules.
Build cost-aware routing logic to minimise token consumption.
Design token usage tracking across users, teams, business groups, channels, agents, and models.
Build telemetry requirements for the token dashboard.
Define metrics such as LLM avoidance rate, API-first completion rate, agent escalation rate, cache hit rate, and cost per interaction.
Build evaluation datasets to test routing quality and prevent regressions.
Collaborate with the Full Stack Developer to implement routing APIs and telemetry persistence.
Collaborate with the Agent Orchestration AI Engineer to ensure proper handoff into MuleSoft Agent Fabric.
Define caching, summarisation, memory selection, and prompt optimisation strategies where AI is used.
Establish model selection guidelines and cost-control policies.
Support governance, auditability, and explainability of routing decisions.

Required Skills

Strong experience with AI/ML engineering, LLM applications, or intelligent routing systems.
Strong Python experience.
Experience building intent classification, semantic routing, rules-based routing, or hybrid routing systems.
Strong understanding of LLM cost drivers, token management, prompt optimisation, and context management.
Experience designing AI observability and LLMOps processes.
Experience with AI evaluation, test datasets, regression testing, and quality metrics.
Understanding of API-first architecture and enterprise workflow automation.
Experience with embeddings, vector search, semantic similarity, or lightweight classification techniques.
Experience designing routing decision objects and confidence-based routing.
Experience with telemetry, analytics, dashboards, and usage reporting.
Understanding of RBAC, policy checks, data security, and enterprise governance.
Ability to design systems that avoid LLM calls unless they are truly needed.

Preferred Skills

Experience with MuleSoft, MuleSoft Agent Fabric, or enterprise integration platforms.
Experience with Microsoft AI Foundry, AWS Bedrock, Databricks, or OpenAI-compatible AI services.
Experience with model gateways, AI gateways, or centralised LLM access layers.
Experience with prompt management, model routing, and cost optimisation.
Experience with tools such as LangChain, LlamaIndex, Semantic Kernel, MLflow, Weights & Biases, Arize, LangSmith, or OpenTelemetry.
Experience with dashboard tools such as Power BI, Grafana, Tableau, or custom analytics dashboards.
Experience implementing AI guardrails, policy engines, or governance workflows.
Experience with enterprise search, knowledge bases, and RAG evaluation.
Experience with ServiceNow, SuccessFactors, Microsoft Graph, or similar enterprise APIs.

Ideal Candidate Profile

The ideal candidate is a senior AI engineer who is highly practical and cost-conscious. They should understand that not every user request requires an LLM and should be capable of designing intelligent, governed routing that prioritises APIs, workflows, and deterministic execution before using AI agents.

Best regards,

Swapnil Thakur

Recruitment & Delivery Lead

iPeople Infosystems LLC

Contact No: +91 7972726448

Email ID: [email protected]

Visit us at www.ipeopleinfosystems.com

Pay: ₹180,000.00 - ₹210,000.00 per month

Work Location: Hybrid remote in Bengaluru, Karnataka

Quick apply

Refine Your Search

developer escalation engineer jobs in bengaluru karnataka

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Manager Product Support - BugSnag

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