๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ญ๐ฐ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฏ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ญ๐ฐ-๐ฏ๐ฌ ๐๐ฃ๐)
Experience: 1+ yrs
Location: Bengaluru, Karnataka, India
Job Type: Full-time
We are looking for a technically strong and solution-orientedย Forward Deployed Engineer (FDE)ย to build and deploy AI-powered solutions for enterprise customers. The ideal candidate will have hands-on experience or a strong foundation inย Machine 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.
Requirements
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 usingย Machine 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 experienceย in software engineering, Machine Learning, applied AI, or a related technical role.
- Strong programming skills inย Pythonย and familiarity with software development fundamentals.
- Understanding of Machine Learning concepts, LLMs, prompt engineering, and AI application development.
- Hands-on experience or practical project exposure toย RAG 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, scalableย enterprise AI solutions.