Job Description : Forward Deploy Engineer

Job Summary :

We are seeking a highly motivated and hands-on Forward Deploy Engineer to join our engineering team. This role is ideal for professionals who thrive in fast-paced environments, enjoy solving complex technical challenges, and can rapidly build, deploy, and scale innovative solutions.

As a Forward Deploy Engineer, you will work closely with customers, product teams, and engineering teams to develop Proof of Concepts (PoCs), deploy AI-driven applications, optimize data pipelines, and transform prototypes into secure, production-ready enterprise solutions.

The ideal candidate combines strong software engineering expertise with cloud, data engineering, and AI/ML knowledge while being comfortable working under ambiguity.

Key Responsibilities :

- Design, develop, and deploy scalable full-stack applications using Python, Java, and SQL.

- Rapidly build Proof of Concepts (PoCs) based on customer requirements and business needs.

- Convert PoCs into secure, scalable, and production-ready enterprise solutions.

- Develop and integrate RESTful APIs and third-party services.

- Design and implement distributed systems and microservices-based architectures.

- Build and optimize scalable data pipelines for data ingestion, processing, and analytics.

- Deploy, monitor, and optimize applications across AWS, Azure, or Google Cloud Platform.

- Implement AI/ML-powered solutions using Large Language Models (LLMs) and modern AI frameworks.

- Fine-tune foundation models and integrate AI capabilities into enterprise applications.

- Work with vector databases to enable semantic search and Retrieval-Augmented Generation (RAG) solutions.

- Implement basic MLOps practices for model deployment, monitoring, and lifecycle management.

- Develop and integrate Model Context Protocols (MCPs) for AI agent workflows.

- Troubleshoot production issues, optimize system performance, and ensure high availability.

- Collaborate with product managers, architects, customers, and cross-functional engineering teams.

- Ensure applications follow security, compliance, and software engineering best practices.

- Participate in architecture discussions, code reviews, and technical design sessions.

Required Skills :

1. Programming Languages :

- Python

- Java

- SQL

2. Full Stack Development :

- REST APIs

- API Integration

- Backend Development

- Frontend Development (preferred)

- Object-Oriented Programming

- Design Patterns

3. Cloud Platforms :

- AWS

- Microsoft Azure

- Google Cloud Platform (GCP)

4. Distributed Systems :

- Microservices Architecture

- Event-Driven Architecture

- Scalable System Design

- Distributed Computing

5. Data Engineering :

- Data Pipelines

- ETL/ELT

- Data Processing

- Performance Optimization

6. AI / Machine Learning :

- Large Language Models (LLMs)

- LLM Fine-Tuning

- Prompt Engineering

- Retrieval-Augmented Generation (RAG)

- Vector Databases (Pinecone, FAISS, Weaviate, ChromaDB, Milvus)

- MLOps Fundamentals

- Model Context Protocols (MCPs)

- AI Application Development

7. DevOps & Deployment :

- Docker

- Kubernetes

- CI/CD Pipelines

- Git

- Linux

- Monitoring & Logging

Preferred Skills :

- Experience with LangChain, LangGraph, or LlamaIndex.

- Experience with OpenAI, Anthropic, Gemini, or other LLM ecosystems.

- Knowledge of Kafka, RabbitMQ, or message queue systems.

- Experience with Terraform or Infrastructure as Code (IaC).

- Familiarity with Redis, PostgreSQL, MongoDB, or NoSQL databases.

- Exposure to observability tools such as Grafana, Prometheus, ELK Stack, or Datadog.

- Experience in building enterprise AI copilots or AI agents