Forward Deployed AI Engineer - IFS Loops
At a glance
Mid-level Solutions & Sales Engineering role at IFS. Pune · full-time.
Pay not stated
growthroles summary, based on the employer's posting.
What you'll do
- Work with enterprise customers to define and deliver AI-agent use cases across complicated workflows
- Connect the IFS Loops platform to customer systems through integrations
- Adjust agent logic and behavior to improve cost, efficiency, and error outcomes
- Resolve deployment issues, then refine performance, accuracy, and user adoption
- Capture technical choices and transition reliable deployments to customer engineering or support teams
What you bring
- Two to five years in software engineering, solutions engineering, or machine-learning deployment
- Strong Python skills plus practical familiarity with AI and machine-learning frameworks
- Experience creating LLM applications, retrieval-augmented systems, or conversational AI workflows
- Experience linking enterprise software through APIs or middleware, including Salesforce, ServiceNow, SAP, or Oracle
Who this fits
This role suits a hands-on mid-level engineer who can move between customer whiteboarding and implementation work. You’ll need to turn business needs into technical solutions quickly and collaborate with Product, Engineering, and Customer Success. The position is based in Pune with hybrid work.
From the employer
IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.
At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust.
We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.
By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.
We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.
If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.
About the Role
As a Forward Deployed AI Engineer, you’ll work directly with enterprise customers to deliver custom, production-ready AI solutions that solve real-world problems. You’ll lead the design and deployment of intelligent agents across customer workflows—owning everything from discovery and prototyping to configuration, testing, and launch.
This is a fast-paced, hands-on role that combines engineering, customer collaboration, and applied AI. You will serve as a critical link between our product and the customer’s needs—ensuring rapid value delivery and laying the foundation for long-term success.
What You’ll Do
- Partner with enterprise customers to scope and implement AI Agent use cases across complex workflows
- Integrate IFS Loops platform with customer systems
- Tune agent behavior and logic to deliver measurable outcomes (e.g., lower costs, increase in efficiency, fewer errors)
- Troubleshoot deployments and iterate quickly to ensure performance, accuracy, and user adoption
- Collaborate closely with Product, Engineering, and Customer Success to feed customer insights into the roadmap
- Document technical decisions and hand off stable deployments to customer engineering or support teams
What We’re Looking For
- 2–5 years of experience in a software engineering, solutions engineering, or ML deployment role
- Proficiency in Python and working knowledge of AI/ML frameworks (e.g. OpenAI, Hugging Face, LangChain, Pinecone, Weaviate, etc.)
- Familiarity with building LLM applications, RAG systems, or conversational AI workflows
- Experience integrating with enterprise systems via APIs or middleware (e.g. Salesforce, ServiceNow, SAP, Oracle)
- Ability to translate business problems into technical solutions—and deliver them fast
- Strong interpersonal skills; you’re just as comfortable on a whiteboard with a customer as you are in code
- Bias toward action, ownership, and continuous learning in dynamic environments
Nice to Have
- Background in SaaS, customer experience, support operations, or manufacturing systems
- Experience deploying AI in mission-critical environments
- Prior work with enterprise AI platforms or multi-agent orchestration
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.
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