Forward Deployed AI Engineer - IFS Loops
IFS (company site, opens in a new tab)2–5 yrsPuneHybridDirect career pageEst. 12–22 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Deliver custom, production-ready AI solutions by partnering with enterprise customers and leading the full lifecycle from discovery to launch.
- Design, deploy, tune, and troubleshoot AI agents integrated into complex customer workflows delivering measurable business outcomes (e.g., cost reduction, efficiency improvements).
- Collaborate cross-functionally to incorporate customer feedback into product roadmaps and ensure stable handoff of deployments to engineering or support teams.
Minimum Requirements
- 2–5 years experience in software engineering, solutions engineering, or ML deployment roles.
- Proficiency in Python and working knowledge of AI/ML frameworks such as OpenAI, Hugging Face, LangChain, Pinecone, or Weaviate.
- Experience building applications with LLMs, RAG systems, or conversational AI workflows, and integrating enterprise systems via APIs or middleware (e.g., Salesforce, ServiceNow, SAP, Oracle).
- Work Experience Required: 2–5 years explicitly mentioned; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in deploying AI solutions in enterprise or mission-critical environments, particularly within SaaS, customer experience, or manufacturing contexts.
- Capable of translating complex business needs into technical AI implementations rapidly while maintaining ownership from design through tuning and launch.
- Comfortable engaging directly with customers and internal teams, balancing technical depth with interpersonal collaboration to drive adoption and feedback integration.