Forward Deployed Engineer

Job Role : Forward Deployed Engineer
Company: Stealth AI Startup
Experience: 2–5 Years
Location: Hyderabad
About the Role
We are building a world-class AI Consulting team and are looking for a Forward Deployed Engineer (FDE) who can bridge the gap between cutting-edge AI technology and real-world enterprise problems.
This role sits at the intersection of engineering, data, and customer engagement—working directly with enterprise clients to design and deploy AI solutions.
What You’ll Do
Work directly with enterprise customers to understand business problems and translate them into AI solutions
Design, build, and deploy AI/ML solutions across use cases like:
NLP / GenAI applications
Computer Vision
Predictive analytics
Rapidly build prototypes, PoCs, and production-grade solutions
Collaborate with internal AI/Engineering teams to deliver scalable implementations
Integrate AI solutions with client data systems, APIs, and workflows
Debug, iterate, and optimize solutions based on real-world feedback
Act as a technical advisor to clients during solution deployment
What We’re Looking For
2–5 years of experience in Software Engineering / Data Engineering / ML Engineering roles
Strong programming skills in Python (must-have)
Experience with:
Machine Learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Data handling (Pandas, SQL, ETL pipelines)
APIs and backend systems
Exposure to GenAI / LLMs (OpenAI, open-source models, etc.) is a strong plus
Ability to work in ambiguous environments and solve open-ended problems
Strong communication skills and ability to work directly with clients
Bonus If You Have
Experience in client-facing or consulting roles
Built and deployed AI solutions in production environments
Experience with:
Cloud platforms (AWS / GCP / Azure)
Vector databases, RAG pipelines, LLM applications
Startup experience or 0→1 product building mindset
Why This Role is Different
You won’t just build models—you’ll see them solve real business problems
Work directly with enterprise clients and decision-makers
High ownership and fast execution environment
Opportunity to work on cutting-edge AI use cases
Compensation
Competitive salary + performance incentives
High growth opportunities in a fast-scaling AI startup

Work arrangement
No