About the Role :
We are seeking a Tech Lead / Staff Forward Deployed AI Engineer (FDE) to partner directly with business stakeholders and transform complex business challenges into AI-powered products and solutions. This is a highly hands-on role requiring strong full-stack engineering expertise, GenAI capabilities, architectural thinking, and a rapid prototyping mindset.
You will own the journey from idea to working prototype, driving technical discovery, solution design, and implementation while collaborating closely with product teams, business SMEs, and engineering stakeholders.
Responsibilities :
- Partner with business stakeholders to understand problems, gather requirements, and identify solution opportunities.
- Design, build, and own end-to-end prototypes and MVPs across frontend, backend, cloud, and AI layers.
- Translate ambiguous business requirements into scalable technical solutions and working demos.
- Drive rapid build - demo - feedback cycles with a strong bias for execution and measurable outcomes.
- Lead architecture, API design, cloud deployment, integrations, and technical decision-making.
- Build and integrate AI-powered capabilities including LLM applications, RAG systems, agentic workflows, and automation solutions.
- Mentor engineers, conduct design reviews, and provide technical guidance across projects.
- Evaluate technical feasibility, risks, and trade-offs while recommending pragmatic implementation approaches.
Requirements :
- 8+ years of experience in software engineering, product engineering, or solution development.
- Strong hands-on experience with :
1.
Frontend : React.js, TypeScript, Next.js
2.
Backend : Python, FastAPI, REST APIs
3.
Cloud : AWS (Lambda, API Gateway, ECS/Fargate, S3, RDS)
4.
Databases : PostgreSQL and data modeling
- Experience building and deploying GenAI applications using LLMs, RAG, embeddings, vector databases, prompt engineering, and agentic workflows.
- Strong system design and architecture skills with the ability to balance speed, scalability, and maintainability.
- Experience working directly with business stakeholders and operating effectively in ambiguous problem spaces.
- Proven ability to lead technical initiatives, mentor engineers, and drive execution.
- Experience with LangChain, LangGraph, LlamaIndex, OpenAI/Azure OpenAI, AI observability tools, or similar GenAI frameworks is a plus.
- Exposure to Kubernetes, Terraform, serverless architectures, and enterprise AI platforms is preferred.
- Background in startups, innovation labs, incubation teams, or greenfield product development environments is highly desirable.
- Hyderabad-based Hybrid or willing to work from Hyderabad preferred.
Turing