Forward Deployed Enginner- FDE

Weekday AI; Bengaluru; Presencial; INR 1.400.000 - 3.000.000; Jornada completa

Descripción de la vacante

Weekday AI is seeking a Forward Deployed Engineer to build and deploy AI-powered solutions for enterprise clients. You will translate complex business challenges into practical AI applications, develop prototypes, and integrate enterprise data sources to deliver measurable value.

The role requires 1+ years in software/AI roles, strong Python skills, and hands-on experience with RAG pipelines, embeddings, and multi-agent workflows. Collaboration with Product, Eng, and Data teams is essential.

Formación

• 1+ years of experience in software engineering, ML, or applied AI.
• Strong programming skills in Python.
• Understanding of ML concepts, LLMs, prompt engineering, and AI development.
• Hands-on experience with RAG pipelines, embeddings, vector databases, and semantic search.

Responsabilidades

• Collaborate with enterprise customers to translate business challenges into AI solutions.
• Design, develop, and deploy AI-powered applications using ML, LLMs, RAG, and multi-agent systems.
• Build RAG pipelines with document ingestion, embedding generation, and retrieval.
• Integrate enterprise data sources, APIs, databases, and internal systems into AI applications.
• Develop multi-agent workflows for task orchestration, information retrieval, and automation.
• Experiment with LLMs, prompts, evaluation, and retrieval strategies to improve accuracy.
• Develop back-end services and APIs to integrate AI with enterprise platforms.

Conocimientos

Python

ML fundamentals

RAG pipelines

Vector databases

Multi-agent systems

Enterprise AI

REST APIs

Cloud platforms

Herramientas

LangChain

LangGraph

APIs

Git

Containers

Descripción del empleo

This role is for one of the Weekday's clients

Salary range: Rs 1400000 - Rs 3000000 (ie INR 14-30 LPA)

Experience: 1+ yrs

Location: Bengaluru, Karnataka, India

Job Type: Full-time

We are looking for a technically strong and solution-orientedForward Deployed Engineer (FDE)to build and deploy AI-powered solutions for enterprise customers. The ideal candidate will have hands-on experience or a strong foundation inMachine Learning, Retrieval-Augmented Generation (RAG), multi-agent systems, and enterprise AI applications.

This role combines software engineering, applied AI, customer collaboration, and end-to-end solution delivery. You will translate complex business challenges into practical AI solutions, develop working prototypes, integrate enterprise data sources, and help deploy reliable applications that deliver measurable business value.

Key Responsibilities

• Collaborate with enterprise customers to understand business challenges, identify AI opportunities, and translate requirements into technical solutions.
• Design, develop, and deploy AI-powered applications usingMachine Learning, LLMs, RAG, and multi-agent systems.
• Build RAG pipelines involving document ingestion, chunking, embedding generation, retrieval, reranking, and context-grounded response generation.
• Integrate enterprise knowledge sources, APIs, databases, and internal systems into AI applications.
• Develop multi-agent workflows for task orchestration, information retrieval, decision support, and business process automation.
• Experiment with LLMs, prompt engineering, model evaluation, and retrieval strategies to improve accuracy and reliability.
• Build prototypes and proof-of-concepts, validate them with stakeholders, and convert successful solutions into production-ready applications.
• Develop backend services and APIs to integrate AI capabilities with existing enterprise platforms.
• Implement testing, observability, performance optimisation, and evaluation frameworks for AI systems.
• Address challenges involving hallucinations, retrieval quality, latency, scalability, data privacy, and access control.
• Work closely with Product, Engineering, Data, and customer teams to ensure successful implementation and adoption.
• Document technical designs, deployment processes, and solution architecture while incorporating feedback to improve outcomes.

What Makes You a Great Fit

• 1+ years of experiencein software engineering, Machine Learning, applied AI, or a related technical role.
• Strong programming skills inPythonand familiarity with software development fundamentals.
• Understanding of Machine Learning concepts, LLMs, prompt engineering, and AI application development.
• Hands-on experience or practical project exposure toRAG pipelines, embeddings, vector databases, and semantic search.
• Familiarity with multi-agent frameworks and orchestration tools such as LangGraph, LangChain, or similar technologies.
• Experience integrating APIs, databases, and enterprise data sources into software applications.
• Understanding of REST APIs, backend development, Git, testing, and deployment workflows.
• Familiarity with cloud platforms, containers, and production monitoring is an advantage.
• Strong analytical and problem-solving skills, with the ability to learn new technologies quickly.
• Excellent communication skills and the ability to collaborate with customers and cross-functional teams.
• A proactive, hands-on mindset with an interest in building practical, scalableenterprise AI solutions.