Associate AI Forward Deployed Engineer (AI FDE)

Round 1: Online coding test (DSA & Python) → Round 2: Technical interview (AI concepts, project discussion, system design) → Round 3: HR interview (fitment, communication, expectations)

YottaFlex promotes a fast‑paced, collaborative culture where engineers are encouraged to experiment and own end‑to‑end solutions. The company offers regular learning sessions, mentorship programs, and a balanced work‑life approach, allowing employees to grow technically while maintaining personal well‑being.

Candidates typically face a timed online coding assessment focusing on Python and data‑structure problems, followed by a technical interview that dives deep into AI concepts, project experience, and system design. The HR round assesses cultural fit, communication skills, and salary expectations. Preparation on generative‑AI fundamentals and hands‑on coding practice greatly improves success chances.

Graduates (B.Tech/B.E., B.Sc., M.Tech, M.Sc.) in Computer Science, Information Technology, Electronics, or related streams; minimum 60% aggregate (or CGPA 6.5/10); no active backlogs at the time of joining; batch years 2022‑2026 acceptable; strong academic record and demonstrable project work in AI/ML preferred.

YottaFlex is an emerging AI‑driven technology firm headquartered in Hyderabad, Telangana. The company focuses on delivering end‑to‑end artificial‑intelligence solutions for enterprises across sectors such as finance, healthcare, logistics, and retail. With a fast‑growing client base and a culture that encourages rapid prototyping, YottaFlex aims to bridge the gap between cutting‑edge research and real‑world business impact. The organization invests heavily in talent development, offering hands‑on exposure to the latest generative‑AI models, cloud platforms, and product engineering practices. The role of Associate AI Forward Deployed Engineer (AI FDE) is designed for fresh graduates and early‑career professionals who are passionate about turning AI concepts into deployable applications. As an AI FDE, you will work directly with client teams to understand their business challenges, design AI‑powered solutions, and deliver functional prototypes that can be scaled into production systems. You will be mentored by senior AI engineers and will get the opportunity to experiment with large language models, vision APIs, and custom model pipelines while learning best practices for software engineering and DevOps. Key Responsibilities: 1. Gather and analyse client requirements to translate business problems into AI solution specifications. 2. Design, develop, and test AI prototypes using Python, LLMs, and generative‑AI frameworks. 3. Integrate AI models and third‑party APIs into backend services and user‑facing applications. 4. Write clean, modular code and maintain version control using Git and GitHub. 5. Conduct debugging, performance tuning, and iterative improvements on AI applications. 6. Collaborate with cross‑functional engineering teams to ensure seamless deployment and scalability. 7. Prepare technical documentation, demo presentations, and client hand‑over materials. 8. Stay updated with emerging AI research, tools, and industry trends to propose innovative solutions. 9. Participate in code reviews and contribute to the team’s knowledge base. 10. Assist in post‑deployment monitoring and support to ensure solution reliability. Tech Stack: Python, PyTorch/TensorFlow, LangChain, OpenAI/Claude APIs, FastAPI/Flask, Docker, Git, CI/CD pipelines, cloud services (AWS/GCP/Azure). Growth Path: Starting as an Associate AI FDE, high performers can progress to Senior AI Engineer, AI Solutions Architect, or Product Lead within 2‑3 years, with opportunities to lead client engagements and mentor new hires. Why Join YottaFlex? The company offers a paid 6‑month internship with a stipend of ₹20,000 per month, followed by a full‑time CTC of ₹7 LPA. You will work on live client projects, gain exposure to state‑of‑the‑art AI technologies, and be part of a collaborative, innovation‑focused environment that values continuous learning and career advancement.