FDE - Agentic Ai Professional
Data Economy · Hyderabad · onsite · Posted 23d ago
Undisclosed3–15 yrsfulltimeSourced from
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About this role
Job_Description
Job Title: FDE - Agentic Ai
Experience Level: 3 - 15 years
Location: Hyderabad / Pune
Experience Level: 3 - 15 years
Location: Hyderabad / Pune
Qualification: BTech/MTech/MCA
Mode of Work: Hybrid
Mode of Work: Hybrid
We are seeking a Forward Deployed Engineer (FDE) works directly inside a strategic enterprise customer to design, build, deploy and run AI-powered production systems alongside the customers engineering team. FDEs write production-grade software and own outcomes end to end, from prototype through enterprise-scale deployment.
The role combines the technical rigor of a software engineer with the urgency and ownership needed to deliver measurable business outcomes. FDEs also create reusable architectures, patterns and engineering practices that help the wider FDE practice scale.
Key Responsibilities:
Key Responsibilities:
- Embed with customer engineering teams: Understand the customers business processes, technical architecture and operational constraints. Turn ambiguous business problems into scalable, AI-enabled production systems.
- Build production AI applications: Design and develop production-grade software for AI and agentic workflows, including multi-agent orchestration, retrieval pipelines, workflow automation and decision intelligence. Integrate foundation models, customer data sources, APIs and existing applications into cohesive AI experiences. Optimize for latency, reliability, observability, cost and security.
- Own production: Take systems from design through production rollout and ongoing operations. Troubleshoot incidents across AI models, distributed systems, data pipelines and application services. Put in place monitoring, evaluations, guardrails, testing, CI/CD, rollback and resiliency mechanisms that keep AI systems healthy at scale.
- Accelerate customer transformation: Identify opportunities to expand AI adoption across customer workflows. Build reusable patterns, accelerators and reference architectures for future engagements.
- Raise the bar: Mentor engineers and contribute to engineering best practices for AI and forward deployment. Feed reusable components and learnings back into products and services.
Requirements
Requirements
- Python : Strong, production-grade Python clean code, testing, APIs, and integration with enterprise systems.
- Agentic AI on AWS : Hands-on experience building multi-agent systems on Amazon Bedrock and Bedrock AgentCore, including:
- Prompt engineering
- Tool calling
- Agent orchestration with a framework (e.g., Strands Agents, LangGraph, LangChain)
- RAG Retrieval : Building retrieval pipelines, including:
- Embeddings
- Chunking
- Vector search (e.g., Bedrock Knowledge Bases, OpenSearch, pgvector)
- Core AWS Services : Working knowledge of:
- Serverless and container services (e.g., Lambda, ECS/EKS)
- API Gateway
- Storage (e.g., S3, DynamoDB)
- Security and networking (e.g., IAM)
- Production Engineering : Experience taking AI systems to production, including:
- CI/CD
- Automated testing
- Monitoring
- CI/CD
- Serverless and container services (e.g., Lambda, ECS/EKS)
- Embeddings
- Prompt engineering
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
AutomationPrototypeMonitoringProduction EngineeringComputer NetworksworkflowPythonoperationsHealth insuranceDistribution System
About Data Economy
Data Economy
IT Services & Consulting
93
employees
2018
8 years old
Dublin, Ohio
United States of America
About
Data Economy is a data and analytics firm, known for its innovative solutions and cost-effective services, delivering value in the global analytical landscape.
Industries
IT Services & Consulting
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79 reviews
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