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Hyderabad · On-site · 4-7 Yrs · Oct 13
1 to 50 Employees · Chennai, India
Hiring: Engineering
Interview experience · Human Resources
Went in two round .Telephonic round. Asking about yoursef and passion . well explained about company and policy and assured good learning. Assured good increment in near short term. No target driven
Easy difficulty · Chennai · 1 reports
More interview insightsJob description
Overview
Agentic AI Cloud Engineering / MLOPS Engineer
Qualifications
- Understanding of agent memory design, including session memory, long-term
- Understanding of model governance and responsible AI, including approved
- controls, restricted tool usage, approval gates, fallback flows, escalation paths,
- human-in-the-loop checkpoints, and kill-switch mechanisms.
- Familiarity with agent development frameworks such as LangChain,
- Understanding of enterprise data concepts, including structured data,
- Strong understanding of security and responsible AI principles, including role based access, data privacy, prompt injection risks, hallucination control,
- Ability to work with business stakeholders to understand use cases and translate
- Strong communication skills and ability to collaborate with architects, data
- applications, including LangSmith, Arize Phoenix, OpenTelemetry-based tracing,
- MLflow tracing, Databricks MLflow, cloud-native monitoring, or equivalent
- workflows, exception management, escalation logic, user feedback capture, and
- controlled autonomy.
- frameworks, prompt governance, model catalogues, evaluation reports, and
- audit-ready documentation.
- integrations, OpenAPI-based tools, schema-driven API invocation, and
- reusable agent capabilities.
- planner-executor agents, critic/evaluator agents, router agents, task-specific
- specialist agents, and autonomous workflow coordination.
- JSON Schema, structured outputs, function-calling definitions, API contracts, and
- validation layers
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Job application FAQ
Last updated 22 October 2026
- How do I apply for AI Engineer - Cloud & MLops at Talentgigs?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Talentgigs may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI Engineer - Cloud & MLops remote or on-site in Hyderabad, Telangana?
- This listing is marked on_site with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this AI Engineer - Cloud & MLops role at Talentgigs?
- This is a mid-level AI Engineer - Cloud & MLops role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.