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Open nowPosted 5 days ago

Forward Deployed Engineer

Workable (global search)108,016 open roles

Where
Bengaluru, KA, India
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Your applicationOpen nowForward Deployed EngineerWorkable (global search) · Bengaluru, KA, India

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 5 days ago

Workable (global search) median: 7 days open

The posting

This role is for one of Weekday’s clients Salary range: Rs 1000000 - Rs 8000000 (ie INR 10 - 80 LPA)

Min Experience: 2+ years Location: Bengaluru JobType: full-time

We are looking for a highly hands-on and adaptable Forward Deployed Engineer to work closely with customers, product teams, and engineering teams to design, build, and deploy AI-powered solutions. This role is ideal for an engineer who enjoys solving complex real-world problems, working directly with stakeholders, and rapidly translating business requirements into scalable technical solutions.

You will play a key role in applying Artificial Intelligence, Large Language Models (LLMs), and Python to develop production-ready applications and workflows. You will work in fast-moving environments where experimentation, problem-solving, and strong customer collaboration are essential.

Requirements

Key Responsibilities

  • Work directly with customers and internal stakeholders to understand business challenges, technical requirements, and desired outcomes.
  • Design, develop, and deploy AI-powered applications using LLMs, Python, and modern AI technologies.
  • Build prototypes and proof-of-concepts rapidly, iterate based on feedback, and transition successful solutions into production.
  • Integrate LLMs with APIs, databases, enterprise applications, and existing technology stacks.
  • Develop reliable Python services, automation workflows, data pipelines, and backend components.
  • Evaluate LLM outputs, improve prompts and workflows, and contribute to the development of robust AI systems.
  • Collaborate closely with product managers, software engineers, data scientists, and customer teams to deliver end-to-end solutions.
  • Troubleshoot technical issues in production environments and identify opportunities for improving system performance, reliability, and scalability.
  • Translate ambiguous customer requirements into practical technical solutions.
  • Communicate technical concepts clearly to both technical and non-technical stakeholders.
  • Stay current with developments in GenAI, LLM architectures, AI agents, model APIs, and emerging AI engineering practices.

Must-Have Skills

  • AI / Artificial Intelligence
  • Large Language Models (LLMs)
  • Strong programming experience in Python
  • Experience building or integrating AI/ML-powered applications.
  • Understanding of LLM APIs, prompt engineering, model evaluation, and AI application development.
  • Strong problem-solving and debugging abilities.
  • Experience working directly with customers, users, or cross-functional stakeholders.
  • Ability to operate effectively in ambiguous and fast-changing environments.
  • Strong communication and collaboration skills.

Good-to-Have Skills

  • Experience with C# / .NET or other backend programming languages.
  • Hands-on experience with Generative AI (GenAI) applications.
  • Exposure to AI agents, RAG pipelines, vector databases, embeddings, and tool calling.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with APIs, microservices, databases, and distributed systems.
  • Experience deploying AI applications into production environments.
  • Strong stakeholder management and customer-facing experience.
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