Forward Deployment Engineer

Symphoni HR • Python • JavaScript • TypeScript • 1 day ago
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Salary
≈ $21k – $47k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 6+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 6, 2026.

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Symphoni HR

Symphoni HR is an executive search and specialist recruitment firm headquartered in Malad West, Mumbai, handling board, CEO and CXO appointments alongside technology hiring, recruitment process outsourcing, project hiring and fractional leadership services. Established in 2003, it reports more than 100,000 candidates hired and over 5,000 C-suite and senior mandates for 300+ clients across practices such as global capability centres, financial services, technology, industrial and healthcare. The roles on its board are client vacancies, mostly in Mumbai, Bengaluru and Pune, for Java and C++ developers, data engineers, DevOps and GenAI engineers, business analysts and project managers.
symphonihr.com • HQ: Mumbai, India • Recruiting & Staffing • Executive Search • 201-500 employees • Est. 2003

We are seeking a highly skilled Forward Deployment Engineer to join our team in Bangalore. This critical role focuses on designing, building, and deploying advanced agentic AI workflows and RAG pipelines to solve real-world enterprise problems. You will bridge the gap between complex technical AI development and practical business application, ensuring high-performance, scalable solutions.

Our client is a leading global professional services firm specializing in accounting and financial advisory. They are at the forefront of digital transformation, leveraging cutting-edge technology to solve complex business challenges for enterprise clients worldwide. The organization fosters a culture of innovation, continuous learning, and professional excellence.

Responsibilities

  • Design, build, and deploy agentic AI workflows for complex enterprise use cases.
  • Implement and optimize integrations with leading LLM APIs.
  • Develop, refine, and evaluate prompts for accuracy, efficiency, and scalability.
  • Architect and maintain retrieval-augmented generation pipelines using vector databases.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Ensure the scalability, reliability, and performance of deployed AI systems.
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders.

Requirements

  • 6-13 years of professional experience in software engineering or AI-focused roles.
  • Strong hands-on expertise in Agentic AI orchestration and multi-agent systems.
  • Proven experience with LLM APIs and frameworks such as LangChain or LlamaIndex.
  • Deep understanding of Prompt Engineering techniques including few-shot and chain-of-thought.
  • Practical knowledge of RAG pipelines, vector databases, and embedding models.
  • Solid programming background in Python or JavaScript/TypeScript.
  • Experience with cloud AI platforms like AWS Bedrock, Azure OpenAI, or GCP Vertex AI.
  • Domain knowledge in finance or healthcare is highly preferred.
  • Excellent communication and stakeholder management skills.
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