We will take Taylor series of $$f_n(x) = \sum_{i=1}^n \left( \frac{i+x}{n} \right)^n$$
We are aiming for $\frac{e^{x+1}}{e-1} = A (1+x+\frac{x^2}{2} + \dots)$ where $A = \frac{e}{e-1}$.
The $x^0$ coefficient of the sum is $$f_n(0) = \sum_{i=1}^n \left(\frac{i}{n} \right)^n$$
If we differentiate the sum, we obtain $$f_n'(x) = \sum_{i=1}^n \left( \frac{i+x}{n} \right)^{n-1}$$
and in general if we differentiate $k$ times we obtain $$f_n^{(k)}(x) = \sum_{i=1}^n \left( \frac{i+x}{n} \right)^{n-k} \frac{(n-1) \dots (n-k+1)}{n^{k-1}}$$
Therefore $$\frac{f_n^{(k)}(0)}{k!} = \sum_{i=1}^n \left( \frac{i}{n} \right)^{n-k} \frac{1}{n^k} \binom{n}{k}$$
We therefore obtain the Taylor series of $f_n$; I claim that for $k$ fixed, $\frac{f_n^{(k)}(0)}{k!}$ tends to a limit as $n \to \infty$.
From this limit, we can obtain the Taylor series of $\lim_{n \to \infty} f_n(x)$, and verify that it is equal to that of $\frac{e^{x+1}}{e-1}$.
From this point on is a sketch, because I really need to go to bed. (Strictly speaking, as well as filling out the details below, we also need to check various convergences; it's not in general true that having zero Taylor series means the function is everywhere zero, for instance.)
The limit of $\binom{n}{k} \frac{1}{n^k}$ is $\frac{1}{k!}$; the limit of $\sum_{i=1}^n \left( \frac{i}{n}\right)^{n-k}$ is the same for any $k$, and is equal to $\frac{e}{e-1}$.