Role Overview

As a Forward Deployed Engineer, you will partner with customers to design, build, and deploy enterprise-scale Generative AI applications for telecom and networking environments.

You will be responsible for transforming customer requirements into scalable AI-powered solutions using Retrieval-Augmented Generation (RAG), Agentic AI, semantic search, and cloud-native architectures.

This is a highly technical, customer-facing engineering role requiring robust software development skills, production deployment experience, and deep understanding of telecom systems.

Key Responsibilities

- Design, develop, and deploy enterprise-grade AI applications using Large Language Models (LLMs).
- Build scalable Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval.
- Develop backend services using Python, FastAPI, and REST APIs.
- Design document ingestion, embedding, vector indexing, and semantic search pipelines.
- Develop AI Agents and Agentic AI workflows for telecom use cases.
- Integrate OpenAI, Azure OpenAI, or other enterprise LLMs with internal applications and telecom platforms.
- Work closely with customers to understand business challenges and translate them into AI-driven solutions.
- Deploy AI applications using Kubernetes, Docker, and cloud-native architectures.
- Optimize applications for scalability, reliability, observability, security, and production readiness.
- Collaborate with Product Engineering, Platform Engineering, Infrastructure, Customer Success, and Solution Architecture teams.
- Participate in technical discussions, architecture reviews, and customer workshops.

Mandatory Qualifications

Experience

- 4–8 years of software engineering experience.
- Minimum 2 years of hands-on experience building production-grade Generative AI applications.




- Experience delivering customer-facing enterprise solutions.

Mandatory Technical Skills

Programming

- Python (Strong proficiency)
- FastAPI or equivalent backend framework
- REST APIs

Generative AI

- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- LangChain
- LlamaIndex
- AI Agents / Agentic AI
- OpenAI APIs
- Azure OpenAI

Search & Vector Databases

- Pinecone
- Weaviate
- ChromaDB
- FAISS
- Milvus
- pgvector

AI Pipeline Development

- Document ingestion
- Embeddings
- Chunking strategies
- Metadata filtering
- Semantic Search
- Hybrid Search
- Reranking

Cloud & DevOps

- Docker
- Kubernetes
- CI/CD pipelines
- Git
- Azure / AWS / GCP

Mandatory Domain Experience

Telecom / Networking

Candidates must have hands-on experience in Telecom or Networking projects.

Experience in one or more of the following areas is required:

- OSS/BSS
- Network Automation
- Network Operations Center (NOC)
- SDN/NFV
- Core Networks (4G/5G)
- IP/MPLS
- Routing & Switching
- Optical Networks
- Satellite Communications
- Telecom Service Assurance
- Network Monitoring
- Fault Management
- Telecom Knowledge Management
- Telecom Customer Support Systems

Candidates without Telecom or Networking domain experience will not be considered.

Preferred Skills

- MCP (Model Context Protocol)
- GraphRAG
- Knowledge Graphs
- Multi-Agent Systems
- LangGraph
- CrewAI
- AutoGen
- Redis
- Kafka
- Neo4j
- ElasticSearch
- Monitoring using Prometheus and Grafana
- OpenTelemetry

Soft Skills

- Excellent communication and stakeholder management.
- Ability to work directly with enterprise customers.
- Strong problem-solving and analytical thinking.
- Experience presenting technical solutions to customer leadership.
- Ability to work independently in a remote-first environment.

📌 Forward Deployment Engineer (Bengaluru)
🏢 Cascades Data Solutions India
📍 Bengaluru