- 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.
Job description provided by Dataeconomy.
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