FDE - Agentic Ai

DATAECONOMY Inc; Hyderabad; Hybrid; INR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Health insurance

Group Personal Accident Insurance

Group Term Life Insurance

Hybrid work arrangements

Flexible working hours

21 days annual leave

Company holidays: 10

Job summary

DATAECONOMY Inc. in Hyderabad/Pune seeks a Forward Deployed Engineer (FDE) to design, build, deploy and run AI-powered production systems inside customer teams.

You will write production‑grade software, own outcomes end to end, and deliver measurable business value through AI‑enabled solutions. This hybrid role requires strong Python, AWS, and end‑to‑end production experience, plus ability to embed with client teams, implement scalable AI apps, and mentor peers while advancing reusable patterns

Qualifications

• Embed with customer teams to understand processes and architecture; translate problems into scalable AI-enabled systems.
• Build production AI apps including multi-agent orchestration, retrieval pipelines and workflow automation.
• Own production: take systems from design to rollout and operations; troubleshoot incidents across AI models and data pipelines.
• Implement monitoring, testing, CI/CD, rollback and guardrails for resilient AI systems.
• Accelerate customer transformation by expanding AI adoption across workflows.
• Mentor engineers and contribute to best practices for AI deployment; share reusable components and learnings.

Responsibilities

• Embed with customer teams: Understand processes, architecture and constraints; translate problems into scalable AI-enabled systems.
• Build production AI apps including multi-agent orchestration and retrieval pipelines.
• Own production: take systems from design to rollout and operations; troubleshoot incidents across AI models and data pipelines.
• Put in place monitoring, guardrails, testing, CI/CD, rollback and resiliency measures.
• Accelerate customer transformation by expanding AI adoption across workflows.
• Raise the bar by mentoring engineers and sharing best practices and reusable components.

Skills

Python

Agentic AI

AWS

Prompt engineering

Tool calling

Agent orchestration

RAG

Retrieval

CI/CD

Monitoring

Education

BTech/MTech/MCA

Tools

Bedrock

Bedrock AgentCore

LangChain

Strands Agents

LangGraph

OpenSearch

pgvector

Lambda

ECS

EKS

API Gateway

S3

DynamoDB

IAM

Job description

Job Title: FDE - Agentic Ai

Experience Level: 3 - 15 years

Location: Hyderabad / Pune

Qualification: BTech/MTech/MCA

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 customer's 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:

• Embed with customer engineering teams: Understand the customer's 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

• 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
• Evaluations and guardrails for AI output

Benefits

• Comprehensive Medical Coverage: Health insurance of INR 7.0 Lakhs for you and your family (up to 6 members), ensuring complete peace of mind.
• Robust Protection Plans: Group Personal Accident Insurance and Group Term Life Insurance to safeguard you and your loved ones.
• Retirement Benefits: PF and Gratuity provided as per standard government regulations.
• Flexible Work Options: Enjoy hybrid work arrangements & flexible working hours
• Generous Leave Policy: 21 days of annual leave, in addition to 10 company-declared holidays.
• Employee Well-being Spaces: Access to a dedicated break-out area with round-the-clock refreshments for relaxation and rejuvenation.