Note that if $f(s)$ is an analytic function in some vertical strip $a \le \sigma \le b$ (or has finitely many isolated singularities inside the strip) and $f(\sigma+it) \to 0, |t| \to \infty$ uniformly in $\sigma \in [a,b]$, then the convergence of the integral $\int_{c-i\infty}^{c+i\infty}f(s)ds$ for one single $a \le c \le b$ implies the convergence and the fact that the integral is the same for all $a \le \sigma \le b$; if we have isolated singularities at some $\sigma_1, ..\sigma_k$, the integral above still exists for all $\sigma \ne \sigma_k$ but the value changes each time we pass through a singularity (by $2\pi i$ times) appropriate residue.
Proof: Fix $a \le \sigma \le b$ and wlog assume $\sigma \le c$ Take large $T_2 >T_1$. By Cauchy $\int_{R_{\pm}} f(s)ds=0$ where $R_{\pm}$ are the oriented rectangles with vertices at $\sigma \pm iT_{1,2}, c \pm iT_{1,2}$ where we choose the same sign in each.
By hypothesis (uniform convergence to $0$ as $|T| \to \infty$ of $f(x+iT)$) we have $$\int_{\sigma}^c|f(x\pm iT_{1,2})|dx \to 0, T_2>T_1 \to \infty$$ and since the convergence of $\int_{c-i\infty}^{c+i\infty}f(s)ds$ is equivalent to the fact that $\int_{c -iT_2}^{c-iT_1}f(s)ds+\int_{c +iT_1}^{c+iT_2}f(s)ds \to 0$ we get that the same limit holds for $\sigma$ integrals so $\int_{\sigma-i\infty}^{\sigma+i\infty}f(s)ds$ converges too.
Now using the rectangle with vertices at $\sigma \pm iT_1, c \pm iT_1$ we see that up to the horizontal integrals that go to $0$ the integrals on line $\sigma$ and $c$ are either equal if there is no singularity in between or differ by the appropriate residues if there are finitely many singularities, hence part $2$ (where we choose the height larger than the singularities heights which are finite in number by hypothesis)
In particular for $F(s)=\frac{e^{sx}}{s-a}$ we notice that $|F(s)| \sim \frac{e^{\sigma x}}{|t|}$ for large $t$ where $s=\sigma+it$ as usual (note that we use $x$ instead of $t$ vs OP) and when $\sigma$ stays in a bounded interval (and $x$ is fixed or stays in a bounded interval too), this converges uniformly to $0$ as $|t| \to \infty$ hence the result above applies and we can move integrals to the left of $a$ but their values changes by the approriate residue.
This procedure is very general and allows for the explicit computation of many integrals as above by moving the line of integration and picking up residues, though of course we require the uniform convergence to $0$ in the hypothesis.