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1–2 jobs· newest first

Software Engineer - Applied AINew
Redwood Software · Hyderabad, India
Principal Applied AI EngineerNew
Redwood Software · Hyderabad, India
Senior

+10K new in the last hour

Software Engineer - Applied AI

Redwood Software · Posted Nov 9, 2026

Hyderabad, Telangana, India
4+ years

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Lead the design and delivery of complex, production-grade AI and agentic capabilities that can be reused across Redwood products.

Responsibilities

Design and deliver complex services, agentic workflows, and shared AI platform capabilities.
Build multi-step agentic systems that combine reasoning, tool use, retrieval, memory, policy controls, and human oversight.
Establish robust approaches for AI evaluation, observability, model selection, fallback behaviour, and failure recovery.
Lead technical delivery across multiple contributors and coordinate dependencies with product and platform teams.
Review designs and code for scalability, security, performance, reliability, maintainability, and cost.

Requirements

Nice to have: LangGraph
Nice to have: AutoGen
Nice to have: Semantic Kernel
Nice to have: transformer architectures
Nice to have: model fine-tuning

Skills

Python Java distributed systems APIs integrations cloud services production-grade applications generative AI agentic systems agent orchestration tool calling retrieval-augmented generation prompt management model integration AI evaluation tracing monitoring security controls reliability mechanisms software architecture automated testing CI/CD cloud deployment production operations Kubernetes Docker messaging systems event-driven architectures vector databases model gateways prompt lifecycle platforms AI observability tools

See full job description

Principal Applied AI Engineer

Redwood Software · Posted Nov 9, 2026

Hyderabad, Telangana, India
Senior
12+ years

Apply with RefersoAI Apply on careers page

Lead the design and delivery of complex, production-grade AI and agentic capabilities across Redwood products.

Responsibilities

Design and deliver complex services, agentic workflows, and shared AI platform capabilities.
Build multi-step agentic systems that combine reasoning, tool use, retrieval, memory, policy controls, and human oversight.
Establish robust approaches for AI evaluation, observability, model selection, fallback behaviour, and failure recovery.
Lead technical delivery across multiple contributors and coordinate dependencies with product and platform teams.
Review designs and code for scalability, security, performance, reliability, maintainability, and cost.

Requirements

Nice to have: LangGraph
Nice to have: AutoGen
Nice to have: Semantic Kernel
Nice to have: transformer architectures
Nice to have: model fine-tuning

Skills

Python Java distributed systems APIs cloud services

production-grade applications

agentic systems

agent orchestration

retrieval-augmented generation

prompt management

model integration

security controls

reliability mechanisms

software architecture

automated testing

cloud deployment

production operations

messaging systems

event-driven architectures

vector databases

prompt lifecycle platforms

AI observability tools

See full job description